End-to-End ML Developer
- Languages: Python, R, C, HTML/JS, Java, SQL, React Native
- Libraries & Tools: PyTorch, Sklearn, Pandas, Numpy, OpenCV, NLTK, Colab, NLP, Power BI, LaTeX
- ML Architectures: CNN, RNN, YOLO, Transformers (BERT, GPT), LSTM, UNet
- From Chaos to Clarity: Leveraging Satellite Imagery and Deep Learning for Emergency Response in War-Torn & Disaster-Stricken Areas
Presented at the International Conference on Advances in Aerospace and Energy Systems (IAES 2024) at ISRO
Read here - Sign2Text: Deep Learning-based Sign Language Translation System Using Vision Transformers and PHI-1.5B
Accepted at the IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2024)
Read here
- Robot Learning Evolution (Second Runners-Up on IEEE RAS)