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Meet Patel

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AI Engineer • Developer • Builder
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I'm an AI engineer and full-stack developer passionate about building practical systems that actually do things, not just flashy demos. Most of my work centers around LLMs, intelligent automation workflows, and developer utilities that turn complex ideas into intuitive, time-saving products.

I care deeply about clean architecture, practical performance, and building resilient software that scales under real-world constraints. If a process is repetitive, I automate it; if it's complex, I simplify it; and if it's inefficient, I redesign it.

GitHubLinkedInXResumemeetpatel221@proton.me

Work Experience

May 2026 - Aug 2026
Ahmedabad, Gujarat (On-site)
  • Built KRUTRIM RAG, a fully offline document-search and Q&A platform ingesting a 900+ page aerospace corpus in an air-gapped environment using Docling layout-aware extraction, conditional OCR, and heading-aware chunking preserving hierarchical section paths.
  • Architected a distributed worker fleet (text, vector, graph) on a pull-based job queue with leases, heartbeats, retries, and attempt caps, running a checkpointed two-phase ingestion pipeline with per-stage resumability and crash-safe caching.
  • Implemented hybrid retrieval combining Qdrant vector search, an in-house BM25 index, and a 5-layer Neo4j knowledge graph, fused via reciprocal rank fusion, Jina listwise reranking, and MMR diversity selection.
  • Extended a hardware-aware multi-user load balancer routing requests by lowest estimated completion time (ECT), scored from real-time CPU/RAM/GPU (VRAM) telemetry and tokens/sec throughput, handling 10 concurrent users with up to 4 parallel requests per node.
  • Optimized ingestion from 5,245s to 1,821s while maintaining 91.6% knowledge coverage via GPU-accelerated NER, five parallel embedding workers, and batched writes.

Projects

View Project
Datadot preview

Datadot

Self-hosted multi-service RAG platform for intelligent document processing and AI-powered conversations. Ingests PDFs, repos, audio, and websites with multi-LLM and multi-vector-DB support.

Next.js
TypeScript
FastAPI
Python
SSE
Whisper
Tesseract OCR
MCP
LanceDB
ChromaDB
Pinecone
Docker
View Project
AudioVerse preview

AudioVerse

AI voice and music generation platform with a polished creative workspace UI. Supports text-to-speech, voice conversion, sound effects, and lyrics-to-music in one unified studio.

Next.js
React
TypeScript
Tailwind CSS
shadcn/ui
Convex
Better Auth
Azure Blob Storage
StyleTTS2
ACE-Step
Framer Motion
View all projects

Open Source Contributions

GitHub Activity

Consulting the code...

Education

Charutar Vidya Mandal University
Charutar Vidya Mandal University
Bachelor of Technology(B.Tech)
2022 - Present
2022 - Present
Swamishri Gyanjivandasji Gurukul
Swamishri Gyanjivandasji Gurukul
Secondary Education (Grades 9 - 10)
2019 - 2022
2019 - 2022
Hackathon Journey

Building Under Pressure

Competed in 4+ hackathons during university, turning ideas into working prototypes in 24–48 hours alongside talented teams.

  • H
    June 8th - 10th, 2025

    Hugging Face Agents & MCP Hackathon

    Online

    Built intelligent AI agents and integrated the Model Context Protocol (MCP) to seamlessly connect models with external tools, APIs, and data sources.
  • C
    February 14th - 15th, 2025

    CVMU Hackathon 3.0

    Anand, Gujarat

    Developed a social media analysis platform with real-time data integration, supporting platforms like YouTube, Instagram, and Facebook.
  • N
    January 11th – 16th, 2025

    Nosu AI Hackathon

    Online

    A comprehensive web application integrating multiple AI features: Chat Assistant, PDF Document Analysis, and YouTube Video Summaries, built with Next.js, React, and FastAPI.
  • L
    January 10th, 2025

    Level SuperMind Pre-Hackathon

    Online

    A web application for analyzing social media content using AI, providing insights, engagement analysis, and suggestions for improvement with a clean chat interface.

© 2026 Meet Patel

Built with LLMs and Coffee

Anand, Gujarat • Loading...