Robotics Software Engineer
π Hwaseong-si, Gyeonggi-do, South Korea
π Permanent Address: Bethuadahari, West Bengal, India
π§ [email protected]
π +91 9609656206 / +82 01090232443
π LinkedIn | GitHub
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.
Shinhee C&M, Gyeonggi-do, South Korea
October 2023 β 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
Jetbrain β A Solaris Company, Gurgaon, India
April 2023 β 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.
Jetbrain β A Solaris Company, Gurgaon, India
August 2021 β March 2023
- Developed human-following AMR systems.
- Deployed computer vision and sensor fusion modules with ROS 2 and Docker.
BPC-PI, West Bengal, India
September 2020 β 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.
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
- Forklift AMR
- Cylinder Transport AMR
- Omni-wheel AMR
- Order Picker & Warehouse Automation
- SLAM: EKF, LIO-SLAM, GICP, NDT
- Visual & LiDAR Odometry
- Deep Learning for Object Detection
- Mission Assignment
- Traffic Control & Zone Logic
- Real-Time Visualization
- 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)
B.Tech in Robotics Engineering
The Neotia University, Kolkata, West Bengal
August 2017 β July 2021
- English
- Bengali
- Hindi
π Passionate about building intelligent robots that perceive, plan, and act autonomously in the real world.
