01 / Experience
VertxAI
March 2025 - August 2025
AI/ML Intern
- Generative AI Pipeline DevelopmentDesigned and implemented LangChain & LangGraph based workflows to enable complex multi-agent reasoning and automation using RAG architecture.
- Backend Services & ScalabilityBuilt and deployed highly scalable FastAPI backend services integrated with GCP Cloud Run and Docker, minimizing latency in production workloads.
- Vector DB OptimizationOptimized FAISS vector database retrieval and embeddings pipelines to significantly boost accuracy in large scale environments.
Core Technologies
PythonJavaScriptSQLLangChainLangGraphAutoGenFastAPITensorFlowPyTorchHugging FaceFAISSReactDockerGCP
02 / Projects
AI Mock Pitch Agent
An AI-driven voice agent to simulate startup pitch Q&A sessions. Built using LangChain+LangGraph workflows, FastAPI WebSockets, and ElevenLabs TTS.
[Python][FastAPI][LangChain][WebSockets][MongoDB]
Founder-Investor Matrix
AI matching engine connecting founders to investors via semantic search. Used FAISS vector database to retrieve the best matches contextually.
[LangGraph][FAISS][MongoDB][GCP][Python]
ArXiv Research Agent
Multi-agent research assistant built with AutoGen. Agents collaborate to retrieve, summarize, and query ArXiv academic papers seamlessly.
[AutoGen][LLM][Docker][Hugging Face]
DataAnalyzerAI
Data exploration system interacting via natural language. Agents generate, execute, and return Python code to produce analysis automatically.
[AutoGen][Streamlit][Python][Data Analysis]