🔭 I'm currently working on
An end-to-end RAG pipeline using LangChain, LlamaIndex, and FAISS for semantic document retrieval — with LLM inference via API calls and prompt engineering to minimize hallucinations and deliver accurate, grounded responses at scale.
🤝 I'm looking to collaborate on
LLM-powered applications, AI agents, RAG pipelines, NLP systems, and scalable generative AI projects.
🌱 I'm currently learning
RAG pipeline architecture, LangGraph for structured multi-step AI workflows, AI Agents design and orchestration, LLM application development, and n8n for workflow automation.
💬 Ask me about
RAG pipelines, LangChain/LlamaIndex, NLP & intent classification, FastAPI MLOps, BERT embeddings, Whisper STT, and prompt engineering.
⚡ Fun fact
I reduced LLM inference costs by 100% by replacing cloud APIs with a locally-run Gemma3:1b model via Ollama — essentially making it free!
