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anantrp/README.md

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

Pinned Loading

  1. chat-widget chat-widget Public

    Web Chat Widget - built with ChatGPT (GPT-4)

    JavaScript 116 51

  2. al-demo al-demo Public

    Automating several hours of admin work for families upon the death of a loved one (demo / portfolio : Full-stack AI integration use case)

    TypeScript 2