🤖 I am a Robotics Software Engineer with an MSc in Robotics, focused on building real-world robotic systems involving ROS2, autonomous navigation, perception, localization, sensor integration, and edge AI deployment.
🧭 My work revolves around developing robotics software for autonomous systems, including SLAM/localization, path planning, LiDAR and camera-based perception, ROS2 node development, Dockerized deployment, and real-time robot testing.
🧠 I am currently strengthening my expertise in Robotics MLOps, including dataset preparation, model training workflows, experiment tracking, ONNX/TensorRT deployment, CI/CD for ROS2 workspaces, model monitoring, and failure-case collection for continuous model improvement.
⚙️ I enjoy working close to the hardware, where software decisions directly affect robot behavior. My focus is not just writing code, but building reliable robotic systems that can be tested, deployed, monitored, and improved in real field conditions.
💡 I am open to opportunities and collaborations in:
- Robotics Software Engineering
- ROS2 Development
- Autonomous Navigation
- Computer Vision for Robotics
- LiDAR / Point Cloud Perception
- Edge AI Deployment
- Robotics DevOps and MLOps
✉️ Reach me at: mdileep.kumar438@gmail.com
- Robotics Software: ROS2, ROS, Nav2, SLAM, Localization, TF, URDF, RViz
- Perception: OpenCV, PCL, LiDAR Processing, Object Detection, Point Clouds
- AI / ML: PyTorch, TensorFlow, Scikit-Learn, YOLO, Model Evaluation
- Edge AI Deployment: NVIDIA Jetson, ONNX, TensorRT, Real-Time Inference
- DevOps for Robotics: Docker, GitHub Actions, CI/CD, Linux, Shell Scripting
- Programming: Python, C++, C, SQL
- Tools: Git, SolidWorks, MATLAB, Flask, Postman
ROS2 Robotics Development
Autonomous Navigation
Perception Pipelines
Dockerized Robot Deployment
CI/CD for ROS2 Workspaces
Robotics MLOps
ONNX / TensorRT Edge Deployment
Model Monitoring and Failure-Case Logging
I am actively building and maintaining robotics-focused projects around:
ROS2 perception pipelines
Dockerized robotics deployment
CI/CD for ROS2 packages
Edge AI model deployment
Robotics MLOps workflows
Autonomous navigation and localization
LiDAR and camera-based perception
My goal is to bridge the gap between robotics software, AI perception, and production-ready deployment workflows.
