B.Tech Computer Science undergraduate specializing in Artificial Intelligence. I enjoy building Machine Learning projects β from training models to putting them together as working applications and I'm particularly interested in how Artificial Intelligence can be applied to solve real-world problems.
- π Exploring real-time object detection with OpenCV and YOLO
- π Strengthening DSA fundamentals in C/C++
- π€ Exploring LLMs, Generative AI, and Reinforcement Learning and AI system design.
Deep learning platform that automatically detects the imaging modality of an uploaded scan (Brain MRI, Brain CT, Chest X-Ray, Chest CT), routes it to the appropriate disease classifier, and generates a downloadable PDF diagnostic report with Grad-CAM explainability. Built with PyTorch and Streamlit across four fine-tuned models.
AI-powered recruitment platform with semantic resume matching, candidate ranking, PDF reporting, and a secure HR dashboard. Built using LangChain and Streamlit.
Retrieval-Augmented Generation system using Qdrant vector database and Sentence Transformers to deliver intelligent wine recommendations through a Streamlit interface.
- Advanced Computer Vision β OpenCV & YOLO
- FastAPI for AI application development
- System Design fundamentals
- Advanced DSA and Competitive Programming