Presentation
I help startups and businesses design and deploy scalable, production-ready AI systems and automated backend architectures. I specialize in building autonomous agentic workflows and robust retrieval pipelines that connect proprietary business data to LLMs securely.
Core Expertise
AI & Orchestration: Stateful multi-agent systems via LangGraph, custom RAG pipelines with FAISS, and prompt optimization.
Backend Architecture: High-performance REST APIs built with FastAPI, Python, and asynchronous processing.
Database Management: NoSQL and Vector data layers including MongoDB and vector-store indexing.
Full-Stack Integration: Creating modern, high-end user interfaces to interact with underlying backend engines cleanly.
Background
Backend & APIs: Built high-throughput, asynchronous REST APIs using FastAPI and Python.
RAG Engines: Designed custom information retrieval layers using FAISS vector indexing for semantic search.
Databases: Managed and optimized data persistence using MongoDB.
Core Projects (Independent)
MediStep AI — Full-Stack Medical Agent
System: Built an intelligent patient intake engine with dynamic symptom tracking.
Tech Stack: Python, FAISS Vector DB, MongoDB, FastAPI, React, Tailwind CSS.
Agentic-Research-Flow — Autonomous Web Intelligence
System: Developed an autonomous web-scraping and data-structuring agent with automated email delivery.
Tech Stack: Python, LangGraph, FastAPI, Beautiful Soup.
Core Tech Tags
Artificial Intelligence (AI) Python FastAPI LangGraph Vector Databases (FAISS) MongoDB REST APIs Systems Automation

