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debanik123/README.md

Debanik Roy

Robotics Software Engineer

πŸ“ Hwaseong-si, Gyeonggi-do, South Korea
🏠 Permanent Address: Bethuadahari, West Bengal, India
πŸ“§ [email protected]
πŸ“ž +91 9609656206 / +82 01090232443
πŸ”— LinkedIn | GitHub


πŸš€ Summary

Robotics Software Engineer with 4 years of professional experience in building intelligent, autonomous systems for both industrial and research applications. Specialized in:

  • SLAM & Localization
  • Sensor Fusion
  • Perception & AI-based Object Detection
  • Multi-Robot Fleet Management
  • Real-Time Robotic Systems Architecture

Proficient in C++, Python, Node.js, and experienced with ROS/ROS 2, Docker, CI/CD, and deep learning frameworks. Recognized for developing robust systems from the ground up and leading cross-functional teams in delivering scalable automation solutions.


🏒 Professional Experience

πŸ”§ Software Engineer (Robotics)

Shinhee C&M, Gyeonggi-do, South Korea
October 2023 – Present

  • Designed a full-stack Industrial AMR Controller for modular robots with integrated AI for autonomous navigation and decision-making.
  • Developed various AMR platforms:
    • Forklift AMR, Cylinder Picker AMR, Omni-wheel AMR, Order Picker AMR
    • Line-Following AGV, RFID/Magnetic Tape AGV
    • AI-powered Human Follow-Me Robot using ZED2, 3D LiDAR, and DL-based person tracking.
  • Engineered a unified AMR fleet management system with real-time coordination and mission assignment.

Core Focus Areas:

  • SLAM & Sensor Fusion:

    • EKF, LIO-SLAM, GICP, NDT-based localization
    • Multi-sensor fusion with LiDAR, IMU, camera
    • Hybrid 2D/3D mapping strategies
  • Perception & Object Detection:

    • 2D/3D clustering for obstacle detection
    • Deep learning-based industrial object recognition
    • Real-time pipelines for SLAM and dynamic environments
  • Fleet & Traffic Management:

    • Zone-based coordination, deadlock prevention
    • Traffic rules for shared workspaces
    • API-driven mission dashboards
  • DevOps & CI/CD:

    • Dockerized ROS stacks
    • Jenkins-based automation pipelines
    • Git-based workflows and testing environments

πŸ”§ Senior Robotics Software Engineer (L-1)

Jetbrain – A Solaris Company, Gurgaon, India
April 2023 – October 2023

  • Led the robotics and vision teams.
  • Developed deep learning-based hospital bed following algorithms.
  • Integrated AMRs with elevators and full-stack backend systems.

πŸ”§ Robotics Software Engineer

Jetbrain – A Solaris Company, Gurgaon, India
August 2021 – March 2023

  • Developed human-following AMR systems.
  • Deployed computer vision and sensor fusion modules with ROS 2 and Docker.

πŸ”§ Sensor Fusion Engineer (Internship)

BPC-PI, West Bengal, India
September 2020 – July 2021

  • Created localization and 3D SLAM systems using Robosense RS16 and Advanced Navigation INS.
  • Developed sensor fusion pipelines combining GNSS, IMU, encoders, LiDAR, and vision.
  • Built a deep learning system for road feature segmentation.

🧰 Skills

Programming: C++, Python, Node.js
Frameworks & Tools: ROS, ROS2, Docker, Git, Jenkins
Expertise: SLAM, Sensor Fusion, Navigation, Localization, Computer Vision, Deep Learning
Robotics Platforms: AMRs, AGVs, Kuka ARM
Soft Skills: Team Leadership, Technical Mentorship


πŸ“¦ Project Portfolio

Industrial AMR Platforms

  • Forklift AMR
  • Cylinder Transport AMR
  • Omni-wheel AMR
  • Order Picker & Warehouse Automation

Autonomous Navigation & Perception

  • SLAM: EKF, LIO-SLAM, GICP, NDT
  • Visual & LiDAR Odometry
  • Deep Learning for Object Detection

Fleet Management & System Architecture

  • Mission Assignment
  • Traffic Control & Zone Logic
  • Real-Time Visualization

πŸ§ͺ Personal Projects

  • Criminal Tracker Drone using ML (2019)
  • Auto Face Attendance with Deep Learning (2019)
  • Emotion Detection with RGB LED Feedback (2019)
  • SLAM-Based AGV with Vision (2020)

πŸŽ“ Education

B.Tech in Robotics Engineering
The Neotia University, Kolkata, West Bengal
August 2017 – July 2021


🌐 Languages

  • English
  • Bengali
  • Hindi

πŸ“Œ Passionate about building intelligent robots that perceive, plan, and act autonomously in the real world.

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