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Sumitkumar005/README.md

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Hi there, I'm Sumit Kumar! πŸ‘‹

🎯 AI Engineer | Machine Learning Specialist | Full Stack Developer


πŸš€ About Me:

  • AI Engineer passionate about building impactful solutions in Computer Vision, NLP, and Generative AI.
  • Skilled in designing and deploying end-to-end ML systems, including RAG chatbots, 3D vision models, and multimodal AI.
  • Experienced in backend API development, automation workflows, and cloud-based MLOps for real-world production use.
  • Thrive on turning complex AI research into scalable, production-ready solutions that save time, improve accuracy, and drive innovation.

πŸ’Ό Professional Experience

πŸ”Ή Technical Lead – Devvoy.com (Jan 2025 – Present)

  • Leading AI innovation for mental health through an AI Therapist platform using LLMs, NLP, and Generative AI.
  • Built a voice-enabled app with React, FastAPI, and ElevenLabs for real-time interactions.

πŸ”Ή AI/ML Engineer Intern – HTS Tech Solutions (Mar 2025 – Present)

  • Developed YOLOv11-based rust detection for cell towers with 85% accuracy on ~2,000 images.
  • Created 3D rust mapping with OpenMVG/OpenMVS, integrating camera metadata for precise localization.
  • Reduced model creation time from 12 hours to 3–4 hours and inspection-to-report delivery from 3 days to under 24 hours.
  • Automated STAAD and AutoCAD file generation and built a desktop app for multi-site management.

πŸ”Ή Machine Learning Intern – Unified Mentor (Dec 2024 – Feb 2025)

  • Built models for Fraud Detection, Lung Cancer Prediction, Price Prediction, Forest Cover Classification, and Sign Language Recognition.
  • Applied Random Forest, XGBoost, CNNs, and Ensemble Learning, achieving up to 92% accuracy and 90% recall in detection tasks.

πŸ”Ή Software Development Intern – Exposys Data Labs (Nov 2024 – Jan 2025)

  • Designed backend services with Node.js and FastAPI for a large-scale analytics platform.
  • Developed microservices with GraphQL, Supabase, Docker, and CI/CD pipelines.

πŸ–₯️ Tech Stack

πŸ”§ Languages:

Python C++ JavaScript Java

🌐 Web Development:

React Node.js FastAPI Flask

πŸ“Š Data Science & Machine Learning:

PyTorch TensorFlow LangChain OpenCV Scikit-learn

πŸ› οΈ DevOps & Cloud:

AWS GCP Azure Docker

πŸ›’ Databases:

PostgreSQL Supabase MySQL


πŸš€ Featured Projects

  • RAG Chatbot for Customer Support: Hybrid RAG architecture with Elasticsearch & on-device LLMs, achieving 90% accuracy.
  • 3D Rust Detection for Cell Towers: YOLOv11 + OpenMVG/OpenMVS pipeline with 85% detection accuracy, 3D mapping, and automation tools.
  • Multi-Agent AI System: LLM-based intelligent routing with FAISS, metadata filtering, and SQL validation.
  • CNN-based Defect Detection: Achieved 93% accuracy for manufacturing quality inspection.
  • AI Therapist: Voice-enabled mental health support app using LLMs, NLP, and real-time speech processing.

πŸ“« Connect with Me:


Pinned Loading

  1. Smart-Finance-with-Machine-Learning Smart-Finance-with-Machine-Learning Public

    Python 2

  2. RAG-System-Knowledge-Base-Integration RAG-System-Knowledge-Base-Integration Public

    Python 1

  3. Isourse-FlowVision Isourse-FlowVision Public

    Python

  4. Full-Stack-Data-AI-Engineer-Portfolio Full-Stack-Data-AI-Engineer-Portfolio Public

  5. AgentFlow-Hackathon AgentFlow-Hackathon Public

    Forked from 0rajnishk/AgentFlow

    Hackathon project (FetchAI)

    HTML

  6. query2-chatbot query2-chatbot Public

    TypeScript