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🔭 I'm currently working on medical image segmentation using UNet and SOTA (SAM-3) models
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🌱 I'm currently learning Generative AI, Agentic AI and MLOps
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💬 Ask me about Machine Learning, Deep Learning, NLP, Computer Vision
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👨💻 All of my projects are available at GitHub
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📄 Know about my experiences Resume
- Singapore
- in/jsuryanm
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foggy-vehicle-detection
foggy-vehicle-detection PublicEnd-to-end YOLO object detection system covering dataset preparation, training, evaluation, and deployment. Includes FastAPI, Streamlit UI, Docker, and AWS EC2 for production-ready inference.
Jupyter Notebook
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text-summarization-system
text-summarization-system PublicEnd-to-End text summarization system built with bart-base using HuggingFace Transformers and deployed using FastAPI, Docker, and AWS.
Jupyter Notebook 1
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chest-cancer-net
chest-cancer-net PublicEnd-to-End Deep Learning system for chest cancer detection from CT scans, using modular data pipelines, PyTorch-based model training, FastAPI inference service, and an interactive Streamlit UI.
Python
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medical-rag-chatbot
medical-rag-chatbot PublicAn end‑to‑end medical question‑answering chatbot built using Retrieval‑Augmented Generation (RAG).
Jupyter Notebook
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