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🧭 About Me

name       : Debashish Mohapatra
role       : AI Engineer — Agentic AI & GenAI
location   : Bhubaneswar, India 🇮🇳
experience : 3+ years shipping LLM-based production systems
education  : M.Sc. Data Science · CGPA 9.29/10 · College Topper
focus      : LangChain · RAG · AWS Bedrock · Agentic Workflows
mission    : "Turn complex business problems into autonomous AI systems."

  • 🤖 Building Agentic AI pipelines that think, act, and self-correct
  • 🔍 Expert in RAG — turning private data into intelligent answers
  • ☁️ Architecting serverless AI on AWS — Lambda, Bedrock, SageMaker
  • 🏆 NCIIPC AI Grand Challenge — Stage 1 Winner (National Level)
  • 📚 Always learning at the intersection of LLMs × Supply Chain × MLOps
  • 💬 Ask me about: LangChain Prompt Engineering VectorDB Fine-Tuning


🏆 Achievements & Recognition


Stage 1 Winner
National Cyber Security AI Challenge

CGPA 9.29 / 10
M.Sc. Data Science · SIT Bhubaneswar

2nd Rank — Odisha
Mathematics Olympiad · Bhadrak

🚀 Current Projects

🔐 Autonomous Code Security Agent

Athrv Cloud Private Limited

An Agentic AI pipeline that autonomously detects vulnerabilities and proposes fixes across enterprise codebases — no human in the loop.

LangChain AWS Bedrock Claude Docker

  • ~60% reduction in manual code review time
  • 🎯 RAG-powered context retrieval via FAISS
  • 🔄 CI/CD integrated with auto-fix workflows

🚛 AI Transport Management System

Scriptx Technologies

AI-integrated TMS platform serving 500+ daily users — covering logistics, fleet planning, route optimization, and dispatch intelligence.

Python Django PostgreSQL React

  • 📉 ~25% reduction in manual dispatch errors
  • 🚀 98% bug-free release rate across 4 deployments
  • 👥 Served 500+ daily active users

🏥 Clinical Data AI Pipeline

Hyscaler

NLP pipeline integrating AWS SageMaker, Transcribe, Textract & Comprehend for automated clinical document processing and data extraction.

AWS SageMaker HuggingFace NLP

  • 📄 ~92% accuracy across 10,000+ clinical records
  • ⏱️ ~45% faster document processing time
  • 🧠 Speech-to-text + document classification

🧠 Domain-Specific LLM Fine-Tuning

Athrv Cloud · Ongoing

Fine-tuning Hugging Face Transformers with transfer learning and domain adaptation for enterprise code static analysis — outperforming baseline models.

HuggingFace PyTorch FAISS

  • 📈 ~35% accuracy improvement over baseline
  • 🔧 Transfer learning + domain adaptation
  • 🚀 MLOps pipeline with model versioning

🛠️ Tech Stack & Skills

🤖 Agentic AI & GenAI

LangChain OpenAI Claude Ollama RAG Prompt Engineering

🧠 AI / ML Frameworks

HuggingFace PyTorch Scikit Learn FAISS ChromaDB BERT

☁️ Cloud & MLOps

AWS AWS Bedrock SageMaker Docker Lambda GitHub Actions

💻 Languages & Frameworks

Python Django JavaScript React PHP SQL

🗄️ Data & Databases

PostgreSQL MySQL Redis Tableau


📊 GitHub Stats

 




🌐 Connect With Me

   



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⭐ If my work helped you — consider starring a repo! · Built with ❤️ and a lot of tokens

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