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dee6600/README.md

Hi there 👋 I'm Durgesh

Robotics & AI Engineer | Autonomous Systems



🚀 About Me

I design intelligent autonomous systems by combining AI, Computer Vision, Machine Learning, and Robotics. I enjoy solving complex engineering challenges through first-principles thinking, leading multidisciplinary teams, and building resilient systems for real-world autonomy.


🔭 What I'm Up To

  • 🔭 Currently working on: Robotics, AI, and Autonomous Systems
  • 🌱 Exploring: Reinforcement Learning, Vision-Language Models, Computer Vision, Perception, and Robot Learning
  • 👯 Looking to collaborate on: Open-source Robotics, AI, UAVs, and Perception projects
  • 💬 Ask me about: Robotics, ROS2, Computer Vision, Deep Learning, Reinforcement Learning, SLAM, Autonomous Navigation, and System Design

🧠 Interests

🚀 Reinforcement Learning • 👁️ Computer Vision • 🧠 Deep Learning • ✈️ UAVs • 📷 Perception • 🤖 Autonomous Systems • ♟️ Strategic Thinking • 💡 Complex Problem Solving • 🚜 Mobile Robots



"Engineering intelligent machines that can perceive, reason, and act autonomously."

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  1. Line-Follower-RobotLine-Follower-RobotPublic

    line follower robot examples based on megatron board by i3indya using atmega16 microcontroller

    Makefile

  2. WhatsThatWhatsThatPublic

    An Android app that identifies what's in a picture

    Java

  3. aero-safe-rlaero-safe-rlPublic

    AI fault detection + high-level reinforcement learning recovery for autonomous UAVs

    C++

  4. dwa_local_plannerdwa_local_plannerPublic

    A highly optimized Dynamic Window Approach (DWA) local motion planner for ROS 2, delivering collision-free, efficient trajectory generation for mobile robots in complex environments.

    Makefile

  5. flytbase-traffic-intelligenceflytbase-traffic-intelligencePublic

    Turning two raw drone clips of a Pune intersection into GPS-accurate vehicle trajectories, real-time speed and queue analytics, and network-level traffic reasoning — snapped onto the actual OpenStr…

    HTML

  6. Hands_Detection_Quality_AdapterHands_Detection_Quality_AdapterPublic

    A post-processing layer that sits between a hand detector and downstream consumers. It corrects false positives and false negatives in a stream of per-frame bounding boxes using multi-frame tempora…

    Python