B.Tech (CSE) graduate building AI-driven solutions using Machine Learning, Deep Learning, and Generative AI. Specializing in LLM-powered applications, RAG architectures, and scalable intelligent systems.
- 🚀 Building AI-powered applications using Python
- 🤖 Working with Machine Learning & Deep Learning models
- 🧩 Designing LLM-based systems using RAG & AI Agents
- 🌐 Developing intelligent APIs with FastAPI
- 📊 Creating interactive AI tools using Streamlit
- 💡 Open to impactful AI collaborations
Python | C++ | SQL
ML Algorithms | ANN | CNN | RNN | LSTM | GRU | Transformers
LLMs | LangChain | Vector Databases | RAG | AI Agents | API Integration
FastAPI | Streamlit | TensorFlow | OpenCV | Git | GitHub | Jupyter
- Built using LangChain and Vector Database
- Enables document-based contextual question answering
- Designed modular architecture for scalability
- NLP-based skill extraction and job matching system
- Improves alignment between candidate profiles and job descriptions
- Implemented using CNN & OpenCV
- Real-time detection and classification pipeline
- Building production-ready AI systems
- Developing scalable LLM applications
- Strengthening core Computer Science fundamentals