- 🚀 I specialize in building end-to-end Retrieval-Augmented Generation (RAG) pipelines using vector databases, hybrid retrieval (dense + sparse), and optimized context strategies.
- 🧠 Experienced in fine-tuning LLMs, designing prompt frameworks, and deploying real-world GenAI systems.
- 🛠️ Hands-onExperience in LangChain,Haystack, HuggingFace Transformers, PGVector, FAISS, Redis, Docker, and OpenSearch.
- 📦 Built and deployed containerized AI applications using Docker on AWS EC2 servers.
- 🌐 Previously built full-stack Django applications.
- 🎯 Strong foundation in algorithms and data structures.
- 💬 I love to talk about AI architecture, embeddings, vector search, C++, and context management in LLMs.
