🎓 M.Sc. Data Science Student @ SVKM's NMIMS, Mumbai
📍 Mumbai, India
About:
• M.Sc. Data Science Student at SVKM's NMIMS, Mumbai
• B.Sc. Information Technology Graduate
• Published Researcher (IJAIR 2026)
• Passionate about Artificial Intelligence, Machine Learning, Deep Learning, Generative AI and NLP
• Building end-to-end AI applications using Python
• Interested in Computer Vision, LLMs, Time Series Forecasting and Intelligent Systems
• Open Source Contributor & Continuous Learner
• Aspiring AI Engineer and Data Scientist
| Degree | Institution | Duration | Location |
|---|---|---|---|
| Master of Science (M.Sc.) in Data Science | SVKM's Narsee Monjee Institute of Management Studies (NMIMS) | Currently Pursuing — Batch 2026 | Mumbai, India |
| Bachelor of Science (B.Sc.) in Information Technology | Sheth L. U. J. College of Arts & Sir M. V. College of Science and Commerce | 2023 – 2026 | Mumbai, India |
- Supervised Machine Learning
- Mathematics for Data Science
- Database Management Systems
- Storytelling with Data
- Research Methodology
|
A Transformer-based NLP system for bidirectional translation between Gen-Z slang and Standard English. Built using T5 architecture with lexical augmentation, explainable AI techniques, and evaluation using BLEU scores. Tech: Python • TensorFlow • NLP • Transformers • Deep Learning 🔗 View Repository |
A comprehensive collection of Machine Learning, Deep Learning, NLP, Computer Vision, Time Series Forecasting, GANs, Autoencoders, Transformers, YOLO, and Generative AI implementations. Tech: Python • TensorFlow • PyTorch • Scikit-Learn • OpenCV 🔗 View Repository |
This repository accompanies the published research paper:
A T5-Based Transformer Model for Interpretable Bidirectional Translation of Informal Gen-Z Language
International Journal of Advance and Innovative Research (IJAIR), Volume 13, Issue 1 (XIII), January–March 2026
Authors: Harshit Jaiswal, Sumitkumar Tripathi, Dr. Mahendra K. Kanojia
📖 Published Paper: https://iaraedu.com/about-journal/ijair-volume-13-issue-1-xiii-january-march-2026.php
🔗 DOI: https://zenodo.org/records/20354105
🎤 Presented At: ICMVLU 2026 Conference (28 February 2026)
Thank you for reading this research. Academic discussions, collaborations, and feedback are always welcome.
⚡ My contribution journey, one commit at a time.
Research • Build • Deploy • Learn • Repeat
Turning research into intelligent AI solutions.