I'm a Computer Science & Engineering (AI/ML) student interested in building practical AI and Machine Learning systems.
I enjoy working on projects involving:
- Machine Learning
- Deep Learning
- Computer Vision
- Generative AI
- Backend APIs
- Model Deployment
Deep Learning application for detecting abnormalities in musculoskeletal X-ray images using DenseNet121 Transfer Learning and Grad-CAM.
π Live Demo π Repository
Machine Learning system for estimating food delivery time using geospatial, weather and delivery-related features.
π Live Demo π Repository
AI-powered multi-agent system exploring automated debugging, root-cause analysis, code patching and verification.
π Live Demo π Repository
Python | SQL
Scikit-Learn | TensorFlow | Keras | CNN | Transfer Learning | OpenCV
LangGraph | LangChain | RAG | ChromaDB | Gemini API | Prompt Engineering
FastAPI | REST APIs | Streamlit | Render | Git | GitHub
Pandas | NumPy | Matplotlib
Machine Learning fundamentals, Deep Learning, Computer Vision, Generative AI, RAG systems and AI application deployment.