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yashdivya5/README.md

Typing SVG


       


$ whoami

yash = {
    "name"       : "Yash Divya",
    "education"  : "B.E. · NIE Mysuru · CGPA 8.68 · 2022–2026",
    "role"       : "Intern @ KPMG Global Services, Bangalore",
    "languages"  : ["Python", "C++", "SQL", "C"],
    "ml_stack"   : ["PyTorch", "TensorFlow", "OpenCV", "YOLOv5/v8", "Scikit-learn", "HuggingFace"],
    "interests"  : ["Computer Vision", "Generative AI", "Multi-Agent Systems"],
    "current"    : "Building intelligent systems that solve real-world problems",
}

💼 Experience

🏢 Intern — KPMG Global Services
Bangalore · 2026 – Present
Working on AI-powered solutions in a global professional services environment.

🚀 Projects

📊 AttritionIQ

ML-driven employee churn prediction with an HR analytics dashboard

  • Predicts attrition probability using classical ML pipelines
  • Interactive HR analytics dashboard with data visualizations
  • Performance analysis and feature importance insights

🤖 BoardOS — AI Board of Directors

🏅 Community Showcase Award · Highest Votes — Lyzr Agentathon 2025

  • 10 AI agents across 5 orchestration layers with DAG + parallel execution
  • Live market & competitor intelligence via Tavily web search
  • Qdrant vector search for cross-domain insight synthesis
  • Devil's Advocate agent stress-tests its own recommendation

🚗 Advanced Object Detection for Autonomous Vehicles

Qualcomm VisionX Hackathon · IIT Bombay Techfest 2024 — Selected for Finals

  • Real-time ADAS system detecting vehicles, pedestrians, traffic lights, lanes & road obstacles
  • YOLOv5 + OpenCV pipeline designed for edge deployment as a driver assistance system

🏆 Achievements

  Achievement When
🏅 Community Showcase Award (Highest Votes) · Lyzr Agentathon 2025 2026
🥇 Top 2% · Kaggle Playground Series S5E4
🤖 Finalist · Qualcomm VisionX Hackathon — IIT Bombay Techfest Dec 2024

🛠️ Tech Stack

Languages

Python C++ SQL C

ML / AI / Computer Vision

PyTorch TensorFlow OpenCV Scikit-Learn HuggingFace


🌍 Open Source Contributions

🤝 Ultralytics Notebooks — PR #94
ultralytics/notebooks
Added a YOLO26 autonomous vehicle object detection notebook covering ADAS-class inference, real-time video detection, YOLO26 vs YOLO11 benchmarking, fine-tuning, and edge export (ONNX / TensorRT / TFLite). Reviewed and approved by glenn-jocher (Ultralytics founder).

🎖️ LeetCode


📊 GitHub Stats


 

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