Anant Parmar

Senior AI Engineer building production AI systems | 3 years AI Engineering + 10 years Full-stack Development

Building production-ready AI systems:

• Architected Conversational AI SaaS platform using LangGraph, reducing bounce rates and increasing conversion
• Developed hybrid retrieval systems combining dense and sparse vectors for improved accuracy
• Designed dynamic workflow graphs for agentic routing and multi-step reasoning
• Developed AI document automation (extraction & generation) reducing 15-hour tasks to 3 hours
• Architected configurable chatbot platform for self-help (pre-Custom GPT era) with specialized bot deployment
• Implemented observability and evals using Langfuse and Ragas for conversational flows

Skills & Competence

AI Engineering

• Tech stack: LangGraph, Pinecone, Qdrant, LangChain, Langfuse
• Techniques: Advanced RAG, Prompt Engineering, Agentic Workflows, Multi-step Reasoning, Structured Data Extraction, Tool Calling

Full-stack: Python (FastAPI, Flask), PHP (Laravel, Livewire), Node.js, PostgreSQL, Queue Workers, RESTful APIs & Webhooks, JavaScript, React, Google Cloud Run, Firebase, VPS, CI/CD