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Amit-Gohel/README.md

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🧠 About Me

I'm an AI Engineer based in Ahmedabad, India who builds production AI systems β€” not prototypes, not demos β€” real systems that serve real users every day.

In under 2 years, I've shipped 6 end-to-end AI systems across the full spectrum: from soldering IMU sensors onto finger rings for TinyML devices to orchestrating multi-model LLM architectures (GPT-4o + Gemini + Qwen3-Coder) in production.

πŸ”­ Currently: AI Engineer @ Vivansh Infotech β€” sole AI engineer on an enterprise EHS platform
πŸ—οΈ Shipped: 6 production AI systems serving real users daily
πŸ“Š Scale: RAG chatbot handling 50K+ queries/month | 500+ concurrent users
πŸŽ“ Research: IIT Delhi (wearable AI) | IIT Gandhinagar (embeddings & retrieval)
πŸ† Recognition: Samsung Top 10/70K+ | Smart India Hackathon Top 5/44K+ | CNN News18 Feature

πŸš€ Production Systems I've Built

# System What It Does Scale Impact
1 Permission-Aware RAG Chatbot Multi-tenant chatbot enforcing 250+ permissions per query in real time 500+ concurrent users, ~1K queries/day 80% MRR, ~8s response time
2 AI Form Builder Converts PDFs β†’ digital forms in ~20 sec; also builds forms from natural language 200+ forms in month 1 99%+ time reduction (1+ hour β†’ 20 sec)
3 AI Video Course Builder End-to-end automated video course production from a single document 10,000+ video clips indexed 99% time reduction (1 week β†’ ~10 min), ~$2/course
4 Production RAG Platform Enterprise chatbot platform with 10+ simultaneous instances 50K+ queries/month, thousands of clients Improved MRR from 45% β†’ 95%
5 On-Premise OCR Pipeline Hybrid OCR for sensitive documents (zero cloud dependency) 200+ page PDFs Fully air-gapped, government-grade
6 Voicer β€” Sign Language Device Wearable AI translating Indian Sign Language β†’ spoken audio in real time 94.1% accuracy, 12 gesture classes Samsung Top 10, CNN News18 feature

πŸ› οΈ Tech Stack

Languages

Python C++ SQL

AI / ML / LLMs

GPT-4o Gemini TensorFlow PyTorch Keras ElevenLabs Cohere

RAG & Vector DBs

Milvus FAISS BGE-M3 OpenAI Embeddings

Backend & Infrastructure

FastAPI PostgreSQL AWS Docker vLLM

Hardware & Edge AI

Arduino ESP32 Raspberry Pi Edge Impulse


πŸ† Achievements & Recognition

πŸ₯‡ Samsung Solve for Tomorrow β€” Top 10 among 70,000+ participants nationwide (Featured on CNN News18)

πŸ₯‡ Smart India Hackathon 2023 β€” Top 5 among 44,000+ teams (Hardware Edition, MIT Karnataka)

πŸ₯ˆ Ingenium Hackathon β€” 2nd Place among 200+ teams

🧩 370+ competitive programming problems solved in Python

πŸ“œ Microsoft Azure AI-900 Certified | deeplearning.ai β€” Neural Networks & Deep Learning


πŸ“Š GitHub Stats


πŸ—οΈ What I Build Across

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  HARDWARE        β”‚  Sensor rigs, IMU rings, 3D-printed enclosures  β”‚
β”‚  EDGE ML         β”‚  TinyML on Arduino/ESP32 (55KB flash, 2KB RAM)  β”‚
β”‚  DATA ENG        β”‚  12,400 gesture samples, 10K+ video clips       β”‚
β”‚  ML TRAINING     β”‚  1,000+ model configs, CNN-BiLSTM hybrids       β”‚
β”‚  RETRIEVAL       β”‚  Production RAG, Milvus, multi-index, reranking β”‚
β”‚  LLM APPS        β”‚  GPT-4o + Gemini + Qwen3-Coder orchestration   β”‚
β”‚  INFRA           β”‚  AWS Lambda, vLLM, on-premise LLM hosting       β”‚
β”‚  DOC PROCESSING  β”‚  Hybrid OCR (DocTR + DocLink), PDF pipelines    β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸŽ“ Education & Research

B.E. Computer Engineering β€” Vishwakarma Government Engineering College (GTU), 2020–2024

Research Intern β€” IIT Delhi (Jan–May 2024)

  • Built a wearable air-writing recognition system (62 classes, 12,400 samples, 1,000+ model configs)
  • Supervised by Dr. Lalan Kumar (IIT Delhi) & Prof. Amit Rathod (VGEC)
  • Collaborated with researchers from IISc Bangalore & Howard University

Research Exposure β€” IIT Gandhinagar

  • Worked with Prof. Mayank Singh on embedding models & retrieval systems
  • Foundation for all subsequent production RAG work

πŸ“ˆ Data-Driven Decisions (I Benchmark, Not Follow Trends)

Decision What I Tested Result
Vector DB FAISS (45% MRR) vs Qdrant (85%) vs Milvus (95%) Selected Milvus
Embeddings BGE small/base/large, Stella, SPLADE, BGE-M3 Selected BGE-M3 + reranker
Form Generation GPT-4o (structural failures) vs Qwen3-Coder-480B (perfect accuracy) Selected Qwen3-Coder
Multilingual Native multilingual models vs translate-bridge pipeline Translate-bridge won
Video Reranking LLM reranking vs Cohere rerank Cohere β€” better coherence

πŸ’¬ I'm always open to collaborating on AI projects. Let's build something that ships.

Let's Connect β†’

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