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Mpradeep-dev/README.md

Pradeep Murugesan - AI Engineer

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What I build

Real-time computer vision and GenAI / RAG systems: low-latency GPU inference pipelines and the scalable FastAPI microservices that serve them in production.

  • Vision  ·  detection and tracking pipelines, GPU inference, ONNX / TensorRT export
  • GenAI  ·  retrieval pipelines, vector search, local and hosted LLM serving
  • Backend  ·  FastAPI services, queues and caching, containerised deploys

Reach me at pradeepmurugesan.dev@gmail.com.


Stack

Vision & ML

PyTorch OpenCV YOLO ONNX TensorRT NumPy

GenAI

LangChain Qdrant Pinecone Ollama vLLM

Backend & Data

FastAPI Python Spring Boot PostgreSQL Redis

Infra

Docker Kubernetes Nginx RabbitMQ GitHub Actions


Featured projects

Auto_Label_Flow wound_care-wound-service
EstimaX-AI FAQ-bot
AI_Trainer drowsiness-detection

Activity

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Verified badges

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Microsoft Learn achievement
Azure AI: plan and prepare to develop AI solutions
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Microsoft Foundry: select, deploy, evaluate models

Open to collaboration and roles in applied AI.  ·  Back to top

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  1. AI_Trainer AI_Trainer Public

    Real-time AI gym coaching system using YOLO-Pose for human pose estimation and instant visual feedback on exercise form.

    Python 2

  2. drowsiness-detection drowsiness-detection Public

    This project is a real-time drowsiness detection system designed to monitor a user's eye activity and alert them if signs of drowsiness or sleep are detected. It leverages computer vision technique…

    Python 5

  3. ecommerce-backend ecommerce-backend Public

    Frontend: Designed using Cursor AI to speed up development and ensure a clean, responsive UI. Backend: Fully developed by me using FastAPI, SQLAlchemy, and PostgreSQL, focusing on building secure a…

    TypeScript 2

  4. EstimaX-AI/.github EstimaX-AI/.github Public

    EstimaX AI is an AI-powered blueprint estimation app.