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Bhogeswarareddy/README.md

Hey, I'm Bhogeswar Reddy πŸ‘‹

πŸš€ AI/ML Engineer | Building Intelligent Systems that Think, Learn & Act
🎯 Mission 29: Building AI-driven products & becoming a tech entrepreneur


🧠 About Me

I’m an AI/ML engineer focused on building real-world intelligent systems, not just models.

  • πŸŽ“ B.Tech CSE (AI & ML), Kalasalingam University (CGPA: 8.0)
  • πŸ€– Hands-on experience in ML, DL, LLMs, RAG & Agent Systems
  • ⚑ Strong belief: AI is not just models β€” it's systems that work in production
  • πŸ”₯ Built and deployed AI systems across ML, CV, and GenAI domains

πŸ’Ό Experience

🧠 AI/ML Intern β€” Infosys Springboard

  • Built ML system predicting football player values (10K+ records)
  • Developed LSTM + XGBoost models β†’ 87% accuracy
  • Reduced prediction error by 18%
  • Deployed FastAPI backend + Streamlit dashboard

πŸ‘οΈ AI Intern β€” READ Automation Pvt Ltd

  • Built defect detection system (Computer Vision)
  • Achieved 94% accuracy in production
  • Improved robustness using OpenCV + transfer learning
  • Reduced inference latency by 40% (edge optimization)

πŸš€ Featured Projects

🧠 Aeternum Hub β€” AI Security System

Real-time AI-powered surveillance system

  • YOLO + ArcFace + ViT-GPT2 pipeline
  • Achieved <100ms latency (25–30 FPS)
  • 3–5Γ— speedup using TensorRT
  • Multi-stage alert system (SMS, call, recording)
  • πŸ“Œ Published at ICCCNT 2025 (IIT Indore)

Architecture:
Camera β†’ Detection (YOLO) β†’ Face Recognition β†’ Alert System β†’ Report Generation


πŸ€– Offline VS Code AI Assistant

LLM-powered coding assistant (like Copilot, but offline)

  • Built VS Code extension + FastAPI backend
  • Real-time code generation & debugging
  • RAG system using FAISS
  • AST-based code understanding
  • Git-aware contextual suggestions

πŸ“š Advanced RAG System & LLM Infra

End-to-end retrieval + generation pipeline

  • Built document ingestion + embedding pipeline
  • Vector DB + retrieval optimization
  • Applied LoRA/PEFT fine-tuning
  • Offline LLM inference using Ollama

πŸ›  Tech Stack

πŸ€– Core AI / ML

Machine Learning Scikit-Learn Pandas NumPy TensorFlow OpenCV


🧠 Generative AI & Agent Systems

LLM RAG FAISS LangChain LlamaIndex MCP Multi-Agent Systems


πŸ’» Programming

Python SQL


βš™οΈ Backend & Systems

FastAPI Streamlit MySQL MongoDB REST API


⚑ Performance & Deployment

TensorRT Edge AI GPU


πŸ›  Tools

Git GitHub VS Code Linux


🧩 Engineering Philosophy

Good AI is not just accurate β€” it must be usable, scalable, and production-ready.

I focus on:

  • End-to-end systems (not just models)
  • Real-world deployment
  • Performance optimization (latency, scalability)

πŸ“ˆ Current Focus

  • πŸ€– AI Agent Systems & Autonomous Workflows
  • ⚑ Production-ready ML pipelines
  • 🧠 Advanced DSA for high-paying placements

πŸ† Achievements

  • πŸ“„ Research Paper β€” ICCCNT 2025 (IIT Indore)
  • πŸ₯ˆ 2nd Place β€” VITNTRA 2025 (AI Chatbot)
  • πŸ₯‰ 3rd Place β€” National AI/ML Hackathon
  • πŸ… Top 5 β€” National Project Expo

🌍 Connect


⚑ Fun Fact

I don’t just build models β€”
I build systems that can think, act, and scale.

Pinned Loading

  1. offline-hybrid-rag-system offline-hybrid-rag-system Public

    Python

  2. offline-ai-assistant offline-ai-assistant Public

    TypeScript

  3. aeternum-ai-surveillance aeternum-ai-surveillance Public

    TypeScript

  4. multimodal-ai-assistant multimodal-ai-assistant Public

    Python

  5. multi-agent-competitive-intelligence multi-agent-competitive-intelligence Public

    Python

  6. edge-ai-quality-inspection edge-ai-quality-inspection Public

    Advanced Edge-Based Automated Optical Inspection System for Bottle Manufacturing using MobileNetV2 & Intel OpenVINO

    Python