At SmartBridge, I worked on real-world projects involving data analysis, preprocessing, feature engineering, and model performance evaluation using Python. I also cleaned and explored structured datasets to identify patterns and support analytical workflows.
I built an AI Job Recommendation System that matches resumes with job descriptions using TF-IDF and cosine similarity. I developed FastAPI APIs, integrated MongoDB, and created a Streamlit dashboard for recommendations and resume analysis.
For DeepLung, I developed an AI-based Clinical Decision Support System for lung CT classification using an optimized Xception model. I integrated ONNX Runtime and Grad-CAM, and built a React and Flask application deployed on Vercel and Render.
I also developed an AI healthcare research assistant with LangChain and Gemini, using RAG for research-paper Q&A, summarization, and comparison. My research on predicting health impact from air quality was accepted for presentation at the IEEE International Conference on Computing, Communication, Control and Automation (ICCUBEA 2026).
