PM Pratik More
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Pratik More

I build intelligent systems with RAG, agentic AI, FastAPI, and LangChain.

Designing AI workflows that solve real problems.

B.E. AI & Data Science Generative AI Backend Development

About

Generative AI and backend developer with hands-on experience in RAG systems, agentic AI, LLM prompt engineering, and scalable APIs using Python, FastAPI, LangChain, and vector databases.

  • ✓Focused on practical AI products, APIs, and retrieval workflows.
  • ✓Comfortable with Python, SQL, prompt engineering, and teamwork.
Role Target Entry-level GenAI, backend, or AI product engineering role.
Strength RAG systems, agentic AI, structured outputs, and real-time apps.

Skills

Core: Python, SQL, REST APIs
GenAI: LangChain, LangGraph, LangSmith, RAG
Backend: FastAPI, Flask
AI Systems: Agentic AI, Tool Calling, Prompt Engineering
Data: ChromaDB, Vector DBs, Semantic Search
Tools: Git, GitHub, Streamlit

Projects

GenAI System

AI-Powered Support Automation System

Built a ticket triage system that reads support issues, classifies them, and creates structured account briefs.

  • Used Groq LLaMA 3.1 with RAG and semantic search
  • Generated structured JSON output with confidence scores
  • Added prompt chaining, streaming, and GitHub Actions
GitHub Repo
Document Intelligence

Advanced RAG Document Intelligence System

Created a document Q&A app that finds relevant information from files and answers questions accurately.

  • Combined BM25 and ChromaDB for better search results
  • Built the backend with FastAPI and SQLite memory support
  • Used LangSmith tracing and multi-format document ingestion
GitHub Repo
Agentic AI

Agentic AI Shopping Assistant

Developed a shopping assistant that can search, recommend, and explain product choices using tool calling.

  • Used LangChain and Groq for autonomous task flow
  • Added memory, retrieval grounding, and multimodal input
  • Kept the checkout flow human-in-the-loop
GitHub Repo

Experience

2025

GenAI Intern, IGT Solutions Pvt. Ltd.

January 2025 - March 2025 | Flask, LangChain, Streamlit, ChromaDB, RAG

Built a document Q&A system with AI21 Jamba and engineered REST APIs for interactive retrieval.

Designed the Streamlit interface and prompt flow for real-time document question answering.

Achievement

Top Recognition

1st Prize - MINDSTORM 2026, IEEE CIS

Won first place for Medi-Connect, an AI-driven healthcare system recognized for efficient architecture, real-time data handling, and deployment readiness.

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