$ whoami
Robotics Engineer — building systems that move, sense, and think.
I design and develop robotic systems, from perception and control to embedded software and automation. Open to roles in robotics, autonomy, and mechatronics.
I'm a robotics engineer with experience at Ati Motors (autonomy, safety, path-tracking, MPC) and Swaayatt Robotics (LQR/MPC, Gazebo). I've led autonomous teams at national events—AIR 1 at SEVC 2023—and have IEEE publications in assistive tech and graph-based NLP. I focus on control systems, perception, and production-ready robotics.
I enjoy turning research into reliable systems: from safety pipelines in C++ and EKF-based kinematics to Data-Driven MPC and path tracking in live warehouses. Always up for hard problems in autonomy and automation.
LQR, MPC, Data-Driven MPC, path tracking, adaptive control
C/C++, Python, ROS/ROS2, Linux, Docker, Git
EKF, sensor fusion, localization, OpenCV, deep learning
Gazebo, MATLAB, firmware optimization, safety pipelines
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Led autonomous team for SEVC 2023 — designed and implemented Level 2 autonomy on an SAE vehicle and showcased at national competition. Combined perception, localization, and control for real-world autonomous driving.
At Ati Motors: optimized full robot safety pipelines to C++ for lower computation and more robust behavior. Modeled skid kinematics with EKF integration, implemented fatal warning mechanisms, and optimized firmware for safe operation even under data loss.
Production path-tracking algorithms and R&D on Data-Driven MPC and adaptive control for complex vehicle dynamics. Deployed and monitored in live warehouse environments.
At Swaayatt Robotics: researched and designed control algorithms for autonomous vehicles. Benchmarked LQR and MPC in Gazebo simulation for vehicle control.
OpenCV 2022 Hackathon (2nd among international participants). Lead developer: lane segmentation, drivable area detection, speed estimation, and 3D object detection for road autonomy.
At DRM Mumbai: software that automates data visualization of trains over time. Fetches data from Excel, generates a Master Schedule, and supports addition/removal of trains. Built with Python, PySide, Matplotlib.
IEEE Xplore, INDIACOM 2023
View on IEEE Xplore →11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, 2024
View on IEEE Xplore →Jan 2025 – Present
Develop and monitor path-tracking algorithms for production deployment. R&D on Data-Driven MPC and adaptive control for complex vehicle dynamics. Oversee and enhance robot safety algorithms in live warehouse settings for operational reliability and safety compliance.
June 2024 – Dec 2024
Optimized robot safety pipelines to C++, reducing computation and developing sophisticated safety modules. Optimization of safety algorithms for lower-level controls, skid kinematics modeling with EKF integration, fatal warning mechanism in C++, and firmware optimization.
Jan 2024 – April 2024
Worked on autonomous vehicle control: researching, formulating, and designing control algorithms. Benchmarking LQR and MPC on Gazebo simulation.
July 2023 – Jan 2024
Developed software to automate data visualization of trains with respect to time. Fetches data from Excel and creates a Master Schedule for addition or removal of trains. Stack: Python, PySide, Matplotlib, GIT.
2 months
Data collection via web scraping, annotation, and training/testing models on Google Colab. Skills: Python, annotation tools, scraping.
I'm open to new opportunities in robotics, autonomy, and automation. Let's build something together.
hirenvyas8055@gmail.com+91 7400142387