About
As a passionate data scientist and data engineer, I am deeply immersed in the rapidly evolving world of technological innovation. I thrive at the cutting edge of machine learning, where Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks are unlocking new possibilities for intelligent systems. My primary focus lies at the dynamic intersection of Natural Language Processing (NLP) and Speech Processing, where I am dedicated to advancing the state-of-the-art and pushing the boundaries of what’s possible in language and speech technologies. By harnessing the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), I am actively working to redefine how machines understand and interact with human communication. My mission is to develop transformative AI solutions that not only advance technology but also revolutionize the way we engage with machines, shaping the future of human-computer interaction.
With a strong background in both structured and unstructured data analysis, I specialize in designing and deploying robust AI solutions that integrate LLMs with complex database systems to drive innovation and generate actionable insights. Leveraging powerful frameworks like TensorFlow, PyTorch, and Keras, along with the scalability of AWS cloud services, I ensure the efficient deployment of models that can handle large-scale, real-world applications. My expertise extends to the full machine learning lifecycle, from data collection and preprocessing to model training, validation, and deployment. I am dedicated to optimizing AI systems for performance and scalability, ensuring they provide real-time, data-driven insights that make a tangible impact. Through my work, I aim to bridge the gap between cutting-edge research and impactful solutions, building AI systems that empower businesses and communities to unlock their full potential.
I was a European Union Postdoctoral Fellow at the University of Southern Denmark at Odense, Denmark. I obtained my Ph.D. from the Department of Computer Science and Information Technology at Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India in 2017. Also in my academics, I have completed M.Phil. in Computer Science, M.Sc. in Information Technology, and Bachelor of Science degree from the same university. I have played a crucial role as project staff for the SERB-DST sponsored project in my research experience.
I am currently immersing myself in the world of Deep Learning and Generative Adversarial Networks (GANs), focusing on developing cutting-edge unsupervised models for human speech recognition and perception. My research is enhanced by my active engagement with the International Speech Communication Association (ISCA) and my role as a Reviewer for IEEE Access and the Asian Journal of Research in Computer Science SCIENCEDOMAIN. I also contribute to the editorial team for Information Engineering and Applied Computing. Beyond my academic pursuits, I enjoy capturing architectural beauty through photography, exploring dynamic urban landscapes, and diving into mystery novels or thrilling action films. Puzzles are a favorite pastime, offering both challenge and relaxation. Fluent in English, Hindi, Marathi, and Rajasthani, I am also expanding my linguistic skills with Danish and German, further enriching my cross-cultural and professional experiences.
Awards
An Award, also called a distinction which is given to a recipient as a token of recognition of excellence in a particular area.
The SERB National Post-Doctoral fellowship, Govt. of India.
Got awarded grant from International Speech Communication Association ISCA
The Award of Microsoft AI Challenge, CodaLab
IEEE Honours of the Professional Development
Thesis
A long piece of writing on a specific topic, like machine learning and deep learning, or particularly one for higher college and university degrees:
PostDoc Innovation Tendency Identifier
Ph.D 
Master of Science Online Toll-Plaza Management System
Machine Learning Framework Skills
Leveraging a robust Machine Learning framework, I seamlessly integrate Exploratory Data Analysis (EDA), strategic planning, and sophisticated Feature Engineering. This dynamic approach not only uncovers valuable insights but also ensures the creation of highly predictive and actionable models. By combining thorough data exploration with meticulous planning and innovative feature engineering, I enhance model performance and drive impactful, data-driven decisions.
Machine Learning Programming Skills
A solid foundation in programming languages, combined with a deep understanding of data structures, algorithms, and object-oriented programming (OOP) concepts, has significantly enriched my ability to master and apply machine learning skills effectively.
Database Management Skills
In today’s digital landscape, data stands as a vital asset across all industries. Masterful data management is key for businesses to make insightful decisions, elevate customer experiences, and secure a competitive advantage. This is where expertise in database management becomes indispensable.
Experience
With over a decade of hands-on experience in Artificial Intelligence, I have developed a deep expertise in crafting cutting-edge solutions that leverage advanced Machine Learning and Deep Learning techniques. My work spans a broad range of AI applications, from Data Classification and Predictive Analytics to the complexities of Natural Language Processing (NLP). I have a proven track record in solving complex challenges in areas such as Topic Modeling, Text Generation, and Speech Technologies, including Speech Recognition, Synthesis, Diarization, and Separation. Beyond NLP, my expertise also extends to Data Science and Computer Vision, empowering me to deliver end-to-end AI-driven solutions that drive innovation, enhance decision-making, and create lasting impact across industries.
Senior Data Engineer (AI)
July 2023 to Present
A.P Moller - Maersk, Copenhagen, Denmark
At Maersk, I developed an AI-driven shipping optimization system using LLM-powered chatbots and NLP models for seamless package booking and real-time cost recommendations. I designed a scalable data pipeline with Apache Kafka and PostgreSQL, leveraging Amazon SageMaker for model training and AWS services for deployment. Built with GoLang and Django REST, the solution featured JWT authentication, OWASP ZAP security, and Docker containerization. I implemented CI/CD pipelines for continuous delivery, enhancing efficiency, customer satisfaction, and data-driven decision-making. Following Agile methodologies, I iteratively improved the system and played a key role as a Scrum Master, applying my strong expertise in data management.
- Developed and implemented an API-based system that streamlined package booking processes, improving transaction efficiency and customer satisfaction.
- Integrated a PostgreSQL database, resulting in improved data management, scalability, and integrity.
- Enhanced system security by incorporating robust authentication mechanisms, ensuring compliance with data privacy regulations.
- Facilitated smooth international shipping transactions, addressing diverse client needs with a reliable and secure system.
Lead Data Scientist - NLP & LLM
January 2020 to June 2023
European Commission, Luxembourg
At DG Translation, I contribute to the European Commission's mission by developing and refining our in-house large language model (LLM) for translating documents and speeches into all official European languages. Utilizing vast text and speech corpuses, including parliamentary speeches and text documents, I implement advanced training techniques such as Generative Adversarial Networks (GANs) to achieve a high level of translation accuracy. I also integrate Retrieval-Augmented Generation (RAG) models to enhance the translation process by leveraging relevant external information and context from extensive databases, thereby improving the quality and contextual relevance of translations. Additionally, I oversee rigorous testing and validation processes to ensure our model meets the highest standards before deployment, supporting continuous improvement in our language processing technology.
- Achieved 95% accuracy rate in translations using our advanced LLM and GAN training techniques.
- Enhanced multilingual communication across Europe by providing precise and nuanced translations for the European Commission.
- Improved efficiency and quality of document and speech translations through extensive testing and validation protocols.
- Supported the European Commission's mission of promoting multilingualism by leveraging state-of-the-art language processing technology.
Data Scientist - NLP
January 2019 to December 2019
University of Southern Denmark, Odense, Denmark
I led the development of an automated system for identifying CPV codes from the European Union Tender Database using Generative Adversarial Networks (GANs). I managed data ingestion and preprocessing of tender documents, leveraging Azure Database services for efficient storage and management. Additionally, I implemented and trained a GAN model to generate and validate realistic CPV code embeddings, enhancing the accuracy of procurement information extraction. To further improve the precision and contextual relevance of the extracted information, I integrated Retrieval-Augmented Generation (RAG) models, which utilize external databases to provide additional context and refine CPV code identification. I performed clustering of document embeddings to identify distinct CPV codes and retrieved relevant information from the Azure SQL Database for comprehensive procurement insights. Furthermore, I supervised and guided Ph.D. and Master students, ensuring project milestones were met and high-quality research outcomes were achieved.
- Increased Accuracy: Enhanced CPV code identification accuracy by 20% through the implementation of GANs.
- Efficient Data Management: Improved data storage and retrieval efficiency by 30% using Azure Database services.
- Comprehensive Insights: Provided a detailed overview of procurement activities, facilitating better decision-making for stakeholders.
- Successful Training: Effectively trained and mentored graduate students, contributing to their academic and professional development.
- Scalable Solution: Developed a scalable and robust system capable of handling large datasets with high reliability.
Principle Applied Scientist
January 2017 - December 2018
Elevare Systems. AI, Hyderabad, India
As a Project Manager for this healthcare-focused virtual assistant implementation on Azure, my responsibilities included overseeing the end-to-end development and deployment of the system. I coordinated the collection and preprocessing of historical calorie intake data, managed the integration and scaling of machine learning services, and ensured the efficient training and deployment of the LSTM model. I also incorporated Retrieval-Augmented Generation (RAG) models to enhance the virtual assistant's responses by retrieving relevant information from external knowledge bases, thereby improving the accuracy and relevance of user interactions. Additionally, I facilitated the automation of the deployment process and the integration of data visualization tools for user-friendly monitoring.
- Efficient Data Management: Implemented Azure Storage services to collect and preprocess extensive historical calorie intake data, ensuring reliable and scalable data storage.
- Advanced Predictive Modeling: Utilized Azure Machine Learning services to scale, transform data, and train a multi-layered LSTM model, capturing complex temporal patterns in the data
- Seamless Deployment: Automated the deployment process using Azure Machine Learning Pipelines, enabling smooth integration into production environments.
- Real-time Predictions: Deployed the model on Azure Kubernetes Service to provide real-time calorie intake predictions, stored and managed in Azure SQL Database.
- Intuitive Visualization: Leveraged Power BI for data visualization, creating a clear and interactive interface for users to monitor and control their calorie consumption effectively.
Research Scientist
January 2014 to December 2016
Ministry of Science and Technology (DST), Government of India
I led a research project under the Department of Science and Technology (DST) of the Government of India aimed at enhancing the quality and accuracy of synthesized speech using machine learning models. The project evolved from using traditional Hidden Markov Models (HMMs) to advanced techniques like Deep Neural Networks (DNNs) and Generative Adversarial Networks (GANs), which significantly improved the naturalness of the synthesized speech. Additionally, I mentored MPhil and Master’s students, providing them with hands-on experience and guiding them through the application of machine learning and speech synthesis theories.
Academic Qualifications
My academic journey includes a Ph.D. in Machine Learning, an M.Phil. in Computer Science, and an MSc in Computer Science, each of which has shaped a solid foundation and a well-rounded perspective in the field of Artificial Intelligence. These qualifications have equipped me with a unique blend of technical expertise and strategic insight, enabling me to approach AI challenges from both a research and business-oriented perspective.
Doctor of Philosophy (Ph.D)
2014 - 2017
Dr. Babasaheb Ambedkar Marathwada University, Maharashtra, India
Completed a Ph.D. in Computer Science, focusing on the development of a speech synthesis system capable of reading any text aloud in one or multiple languages. The system was enhanced using Generative Adversarial Networks (GANs) for improving the naturalness and quality of synthesized speech, addressing challenges like intonation, prosody, and voice consistency across different languages.
Master of Science (M.Sc.)
2008 - 2010
Dr. Babasaheb Ambedkar Marathwada University, Maharashtra, India.
I have completed a M.Sc. in Information Technology, Automatic Toll Tax systems have really helped a lot in reducing the heavy congestion caused in the metropolitan cities of today. It is one of the easiest methods used to organize the heavy flow of traffic. When the car moves through the toll gate on any road, it is indicated on the RFID reader that it has crossed the clearing.
M.Phil. in Computer Science
2011 - 2013
Dr. Babasaheb Ambedkar Marathwada University, Maharashtra, India.
Developed a computer-based method for the automated detection of diabetic retinopathy (DR) using fundus images. The system utilized image pre-processing and morphological processing techniques to extract key features, including blood vessel area, exudates, microaneurysms, hemorrhages, and texture. Employed Support Vector Machine (SVM) for automatic classification of DR images, categorizing them into microaneurysms, hemorrhages, and texture. The proposed method was tested on the DIARETDB0 database, comprising 130 images, achieving a classification sensitivity of 96.43%, specificity of 95.9%, and accuracy of 99.27%. The detection results were validated by comparison with expert ophthalmologists.
Bachelor of Science (B.Sc)
2005 - 2008
Dr. Babasaheb Ambedkar Marathwada University, Maharashtra, India.
I have completed a Bachelor of Science (B.Sc) degree from Dr. Babasaheb Ambedkar Marathwada University, India. Bank Management System, It is used to Keep the records of clients,employee etc in Bank. The system provides the access to the customer to create an account, deposit/withdraw the cash from his account, also to view reports of all accounts present.
Active Professional Memberships
Joining Professional Associations and Organizations is essential for fostering industry expertise and facilitating knowledge sharing within a specific field or occupation. These memberships not only enhance professional growth but also provide valuable networking opportunities, access to cutting-edge research, and a platform for influencing industry standards and practices.
International Speech Communication Association (ISCA) (Membership no 16479)
Institute of Electrical and Electronics Enginners (IEEE) (Membership no 94954265)
International Association of Engineers and Computer Scientists, Hong Kong (membership number 133848)
Institute of Research Engineers and Doctors (Membership no AM101000657)
Publication
Publishing involves making content accessible and authorized for the general public. This process typically applies to various forms of media, including text, images, and other audio-visual materials, whether in digital formats or on paper.
- Journals
- Books
- Book Chapter
- International Conference
- National Conference
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- Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte "Implementation of Marathi Language Speech Databases for Large Dictionary", IOSR Journal of VLSI and Signal Processing Vol-5, Issue 6, Ver. I, e-ISSN: 2319 4200, Dec-2015, PP 40-45. pdf
- Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte " Screen Readers for Linux and Windows Concatenation Methods and Unit Selection based Marathi Text to Speech System", International Journal of Computer Applications, Vol-130 No.14, Nov-2015. pdf
- Sangramsing N. Kayte, Monica Mundada, Dr.Bharti Gawali "Transformation of feelings using pitch parameter for Marathi Speech", Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, Nov-2015, pp.120-124. pdf
- Sangramsing N. Kayte, Monica Mundada, Dr.Bharti Gawali "Grapheme-To-Phoneme Tools for the Marathi Speech Synthesis", Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, Nov-2015, pp.86-92. pdf
- Sangramsing N. Kayte, Monica Mundada, Dr.Bharti Gawali "Automatic Generation of Compound Word Lexicon for Marathi Speech Synthesis", IOSR Journal of VLSI and Signal Processing, Vol-5, Issue 6, Ver. II (2015), e-ISSN: 2319 4200, PP 25-30. pdf
- Sangramsing N. Kayte, Monica Mundada, Dr.Bharti Gawali "Automatic Generation of Compound Word Lexicon for Marathi Speech Synthesis", Journal of VLSI and Signal Processing, Vol-5, Issue 6, Ver.II ( 2015), e-ISSN: 2319 4200, PP 25-30. pdf
- Sangramsing N. Kayte, Monica Mundada, Dr.Bharti Gawali "Implementation of Text To Speech for Marathi Language Using Transcriptions Concept", Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, Nov 2015, pp.33-36. pdf
- Sangramsing N. Kayte, Monica Mundada, Dr.Bharti Gawali "Rule-based Prosody Calculation for Marathi Text-to-Speech Synthesis", Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, Nov-2015, pp.33-36. pdf
- Sangramsing N. Kayte, Dr.Bharti Gawali "The Marathi Text-To-Speech Synthesizer Based On Artificial Neural Networks", International Research Journal of Engineering and Technology (JET) e-ISSN: 2395-0056 Vol-2 Issue: 08| Nov-2015. pdf
- Sangramsing N. Kayte, Dr.Bharti Gawali "The Prosody Subsystem and Pitch Pattern for Marathi Text To Speech Synthesis", International Journal Of Modern Engineering Research, ISSN: 22496645, Vol. 5, Iss. 12, Dec-2015. pdf
- Sangramsing N. Kayte, Bharti Gawali "A Text-To-Speech Synthesis for Marathi Language using Festival and Festvox", International Journal of Computer Applications (0975 8887), Vol-132, Dec-2015. pdf
- Sangramsing N. Kayte, "Text To Speech for Marathi Language using Transcriptions Theory", International Journal of Computer Applications 131(6):39-41, Published by Foundation of Computer Science, Dec-2015, NY, USA. pdf
- Sangramsing N. Kayte, "Marathi Speech Recognition System Using Hidden Markov Model Toolkit", International Journal Of Modern Engineering Research, ISSN:2249 6645, Vol. 5, Iss. 12, Dec-2015. pdf
- Sangramsing N. Kayte, Dr. Charansing N. Kayte, Dr.Bharti Gawali "Approach of Syllable Based Unit Selection Text-To-Speech Synthesis System for Marathi Using Three Level Fall Back Technique", Journal of Signal Processing, Vol-5, Issue 6, e-ISSN: 319 4200, Nov-2015, PP 31-35. pdf
- Monica Mundada, Sangramsing N. Kayte and Dr. Bharti Gawali "Classification of Fluent and Dysuent Speech Using KNN Classier", International Journal of Advanced Research in Computer Science and Software Engineering Vol-4, Issue 9, Sep-2014. pdf
- Monica Mundada, Dr. Bharti Gawali, Sangramsing N. Kayte "Recognition and Classification of Speech and its Related Agency Disorders", International Journal of Computer Science and Information Technologies, (IF 3.32). pdf
- Sangramsing N. Kayte, Dr. Bharti Gawali "Marathi Speech Synthesis: A review", International Journal on Recent and Innovation Trends in Computing and Communication, ISSN: 2321-8169, Vol: 3, Iss: 6, (IF 5.83). pdf
- Sangramsing N. kayte and Peter Schneider-Kamp “A Mixed Neural Network and Support Vector Machine Model for Tender creation in the European Union TED Database", KMIS 11th International Conference on Knowledge Management and Information Systems, Vienna, Austria 17-19, Sep-2019.
- Sangramsing N. kayte and Peter Schneider-Kamp"A Neural NLP Framework for an Optimized UI for Creating Tenders in the TED Database of the EU" , 9th Ninth International Conference on Ambient Computing, Applications, Services and Technologies, 26-Sept-2019, Porto, Portugal.
- Swapnil Waghmare, Sangramsing N. kayte and Ratnadeep Deshmukh "Design and Development of Stuttered and Autism Spectrum Disorder Speech Database for Marathi Language", The 22nd Conference of the Oriental, International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (COCOSDA), University of San Carlos, Gov. M. Cuenco Ave. Cebu City, Philippines 2019
- Swapnil Waghmare, Sangramsing N. kayte and Ratnadeep Deshmukh"Analysis of Fundamental Frequency, Jitter and Shimmer in Stuttered and Non-Stuttered Speech of Marathi Language", International Conference on Communication and Information Processing (ICCIP-2019) Available on: Elsevier-SSRN, PUNE, INDAI, pp.1-8.
- Sangramsing. N, Kayte and Monica Mundada, "Post-Processing using Speech Enhancement Techniques for Unit Selection and Hidden Markov Model-based Low Resource Language Marathi Text-to-Speech System", 6th Int. Workshop on Spoken Language Technologies for Under-resourced Languages(SLTU'18), Gurugram, India on 31-Aug-2018. pdf
- Monica Mundada, Sangramsing. N, Kayte and Pradip K. Das, "Implementation of Concatenation Technique for Low Resource Text-To-Speech System-based on Marathi Talking Calculator” , 6th Int. Workshop on Spoken Language Technologies for Under-resourced Languages(SLTU'18), Gurugram, India on 31-Aug-2018. pdf
- Sangramsing. N, Kayte "Tracking the website real-time activity using google analytics", 3rd National Conference on Emerging and Innovation Trends in Computer Science, NCEITCS-01-02 April 2014.
- Monica Mundada, Sangramsing N. Kayte "Classification of speech and its related agency disorders Using KNN", ISSN2231-0096 Vol-4 Number-3 Sept 2014.
- Sangramsing N. Kayte Bharatratna P.Gaikwad, "Design and Development of Non- Proliferative Diabetic Retinopathy Detection Technique using Image Features Extraction Techniques National", Conference in Advances in computing (NCAC13), 05-06 March 2013.
- Sangramsing N. Kayte and Bharti Gawali “Text-To-Speech Synthesis System Using Concatenation Technique", Scholars’ Press, eBook ISBN: 9786138831426, April 2019, pp-1-105.
- Sangramsing Kayte, Jaypalsing Kayte, "Non-Proliferative Diabetic Retinopathy Detection By Digital R-Images", Scholars’ Press, ISBN-13:6138830407, 2019, pp-1-108.
- Sangramsing N. kayte and Peter Schneider-Kamp, “A Mixed Neural Network and Support Vector Machine Model for Tender creation in the European Union TED Database", Communications in Computer and Information Science (CCIS) Series published by Springer 2019
- Sangramsing N. Kayte, Monica Mundada, Santosh Gaikwad and Bharti Gawali "Performance Evaluation of Speech Synthesis Techniques for English Language", Springer Science+Business Media Singapore 2016 S.C., Proceedings of the International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing 439, DOI 10.1007/978-981-10-0755-2-27. pdf
- Sangramsing N. Kayte Siddharth B. Dabhade, Bharatratna P. Gaikwad, "Design and Development for Detection of Blood Vessels Microneurysms and Exudates from the Retina", Proceedings of the National Conference on Advancements in the Era of Multi-Disciplinary Systems, Elsevier Publications-2013, ISBN: 978-93-5107- 057-3, PP-394.
Virtual Assistant Coach
Demo:- Voice-based virtual assistant name as an obesity prevention coach to direct him or her every day on the dietitian 's proper diet plan and remind the user according to the breakfast, lunch, and dinner schedule.
Speech Synthesis Sample
Speech synthesis, the process of transforming text into spoken words, has seen remarkable advancements with the integration of Generative Adversarial Networks (GANs) and Deep Neural Networks (DNNs). These cutting-edge technologies are revolutionizing how we generate lifelike and expressive speech. By leveraging GANs and DNNs, we can achieve unprecedented levels of naturalness and clarity in synthetic speech. The effectiveness of these methods is often assessed through sophisticated metrics, providing a clear benchmark for their performance and quality.
Training data is Hindi, but using GANs, I receive this Result
1. प्रयाग विश्वविद्यालय में अध्यापन के दौरान हिंदी साहित्य कोश के सम्पादन में सहयोग दिया
2. Speech Vision Laboratory
3. Language Translation Research Center
GANs based Synthesized samples
1. कहि न जाइ अति दुर्ग बिसेषी
2. देहु भगति रघुपति अति पावनि
3. अतः यहां के ग्रामीण मैथिली को अपने मातृभाषा के रूप में प्रयोग करते हैं
DNN based Synthesized samples.
1. McCoy found a stifling, poisonous atmosphere in the pent cabin.
2. This tacit promise of continued acquaintance gave Saxon a little joy-thrill.
3. He considered the victory already his and stepped forward to the meat.
Blog
कुछ हिस्सा हमे किस्मत से मिला तो कुछ छीना पड़ा कुछ हिस्सा हमे किस्मत से मिला तो कुछ छीना पड़ा जो किस्मत से मिला उसमें सुकून कहॉं था ! और जो छिना पड़ा उसमें अपनों का साथ भी ना था ! बेफिक्र जीयो सपनो को पूरा करो तुमने ही सिखाया था! फिर सपने भी तुम्हारे ही हाेंगे ये भी तो नहीं बताया था! सोच के देखो कभी हसरतें नई करने की तुम्हारी भी रही हाेंगी पर ये करो वो ना करो ये भी तो "दुनिया क्या सोचेगी" ये तुमने हमे सुनाया था! पर मुझे दुनिया से कुछ नही लेना देना क्यूंकि चलना मुझे तुमने ही सिखाया था! .......!
I always feel rejection is love. I have been rejected n number of times in my life. I've faced rejection in every field, from studies to job, from friendship to love, from my own choice of decisions to my own freedom. But I guess these things made me what I am today. Whenever I get rejected, it pumps my blood to do something good, to do something more not to prove to anybody else but to my own self. It reminds me from where I started to where I have reached. As one of my friend says - “Vishwas”, you make all those people regret their decisions who have ever rejected you' , I don't know how true it is and I don't do things to make people regret, I do because it is like finding the best out of the worst, finding acceptance out of all these rejections.
Our stories are one and the same. But written with a different pen. We all are fighting for survival. And running after desires as fast as we can. Without thinking about what we are losing. We just care about this stupid competitive game. Running after which we can’t even take along with us. Pushing people out just to make our name. How hard we want to grow, how badly we need to stand out. After a few years, it is all going to be a same Material pleasure is slowly killing a human being in us. That is why making the video of dying people is important for our fame. After getting everything that you want. Will you be ever satisfied or still going to put a blame? This drama has to over someday to understand how corrupt we are Rather than pointing others to remain in the game.
Live your passion then you are wrong If you think that you are too old to live your passion then you are wrong. Age has nothing to do with passion. It is all about you want to live it or not. There is no excuse in this world which can stop you. The problem is when we were young we thought we have all the time and when we are ageing up we think we are running out of time to live a dream. So quiet even before trying is something which can give you a regret for a lifetime. So today, if adrenaline rush happens just watching a good video or reading a good book then don't stop yourself, dreams don't come into your life with a full stop, they come with all those colorful wings so fly with them, don't just let them go through the back door of your life. Peace.
When I look back, I see myself in the lap of nature, Running in the mountains, Laughing with local people, Hopping in the chilled river, Eating local food, Dancing in the rain, Sleeping in cozy tent. When I look back, I see myself where I belong, I see myself living to the core, I see myself doing those treks, I see myself saying Hi to random kids and dogs, I see myself kneeling down in Bangla Sahib, I see myself travelling solo with my headphones on, When I look back, I see nothing but myself very happy, very very happy. What do you see?
Let it go. Doesn't matter how much time you have spent with this particular person, if it hurts you then let it go. Forget those kisses, they were not an agreement on the behalf of which you can hold on to someone so let it go. Don't behave like a slave of your temporary feelings, if it is killing you from inside then let it go. I know those conversations were beautiful but if it doesn't make you feel good anymore then just let it go. Give time, some time to yourself,to heal your broken heart and to understand that in the name of love, you have to have to let it go. Choose happiness!! Choose health!! Choose life!! But most importantly choose love with all the respect!!
Contact
"Engaging with me, whether through conversation or writing, is a seamless experience that’s both dynamic and enriching. Whether we're chatting face-to-face or exchanging thoughts in text, every interaction is designed to be engaging and insightful."
Location:
A. P. Moller - Maersk, Copenhagen
Email:
sangramsingnk@gmail.com
Call:
+45-91962211