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mhdafrith/README.md
AI Engineer GitHub Banner

Hi, I'm Mohamed Afrith

GenAI • AI/ML Engineer • Data Scientist

AI developer animation

Turning documents, data, and language into production-grade AI systems

🧠 About Me

  • 🎓 MBA (SRM IST) + Master’s in Data Science (GUVI – IITM Pravartak)
  • 🧑‍💻 AI Engineer Trainee @ Recykal (Industry-scale DocAI systems)
  • 🤖 Specialized in GenAI, RAG, LLM pipelines, Document AI
  • 📦 Built systems processing 60K+ documents/month
  • 🏆 Best Innovation Award – National ML Datathon
  • 📍 Tamil Nadu, India

🚀 What I’m Currently Working On

  • 🧾 Document Intelligence & Data Extraction (Donut, OCR, LLMs)
  • 🔍 RAG Systems — Naive → Advanced → Modular
  • 🧠 LLM-powered chatbots with evaluation (RAGAS)
  • ☁️ Cloud-native AI deployments (AWS, Azure, GCP)
  • ⚙️ Automation & monitoring for AI pipelines

📌 Highlight Projects

🧾 Intelligent Document Understanding (GenAI)

  • Multi-layer DocAI pipeline using Donut + LlamaParse + OCR fallback
  • 92% extraction accuracy with multi-source validation
  • 7× productivity boost, scaled to 60K+ docs/month

⚠️ Hazardous Waste Disposal RAG Chatbot

  • Domain-specific RAG using LangChain + ChromaDB
  • Retrieval precision improved by ~45%
  • Evaluated with RAGAS (92% relevance)

📊 Automated Log Analytics Dashboard

  • Python + AWS S3 + n8n automation
  • Real-time monitoring via Looker Studio
  • Reduced manual troubleshooting significantly

🛠️ Tech Stack

👨‍💻 Programming

Python SQL

🤖 GenAI & ML

LangChain LlamaIndex TensorFlow PyTorch

📦 Vector Databases

FAISS ChromaDB Qdrant

☁️ Cloud & DevOps

AWS Docker GitHub Actions

github contribution snake

📊 GitHub Activity

🌍 Let’s Connect

LinkedIn Portfolio Medium

⭐ Designing AI systems that are accurate, scalable, and production-ready.

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