Autonomous systems · Control architectures · Intelligent machines
Robotics engineer focused on autonomous systems, control architectures, and intelligent machines. Building across planetary robotics, locomotion, and human-centered automation.
I work on building robotic systems that integrate control, perception, and real-world autonomy.
My experience spans rover platforms, exoskeleton systems, and autonomous robotic architectures — from low-level control and kinematics to full-stack robotic integration and deployment. I'm particularly interested in systems that operate reliably beyond controlled environments, where uncertainty, physical constraints, and real-time adaptability become central engineering challenges.
My broader focus lies at the intersection of robotics, intelligent systems, and applied research — especially in areas involving locomotion, human–robot interaction, and autonomy for complex environments. I enjoy translating research-driven ideas into deployable engineering systems, balancing experimental exploration with practical execution.
Alongside technical development, I've led multidisciplinary teams and coordinated large-scale robotics projects in fast-paced competitive environments, working across design, controls, software, manufacturing, and operations.
I'm interested in collaborating on research, robotics infrastructure, and ambitious engineering problems with real-world impact.
| Primary Domain Control Systems | Multi-loop architectures (position / velocity / torque) · Impedance & adaptive control · Gain scheduling · State-space modelling & stability analysis · Forward & inverse kinematics · Forward & inverse dynamics · Trajectory planning & generation · Optimisation-based tuning (PSO, GA, Bayesian) |
| Robotics Stack | ROS2 — Nav2, TF2, SLAM, sensor drivers · Custom node architecture · Topic / Service / Action interfaces · Gazebo & RViz · Distributed IPC · Digital twin development |
| Simulation & Modelling | MATLAB / Simulink / Simscape · V-model hardware validation · Kinematic & dynamic modelling · Parallel manipulator workspace analysis |
| Sensing & Perception | Sensor fusion · Stereo vision (ZED 2i, D435i) · LiDAR (Livox) · Visual odometry · IMU & encoder integration · YOLO-based object detection · Biomechanical sensing (EMG, AMTI, Qualisys) |
| Languages | C++ (real-time control nodes) · Python (tooling, perception pipelines) · MATLAB · C · Java |
| Dev & Tooling | Linux / Ubuntu · Git · Latency profiling · Cubemars actuators · Force plates (AMTI) · Motion capture (Qualisys) |
MARS is where the engineering became real. Over two years I grew with this team — building the first autonomous node, leading controls architecture, scaling the organisation from 22 to 60 engineers, and steering it to back-to-back international podiums.
Two consecutive years at the International Rover Challenge. IRC 2025 runners-up at BITS Pilani Goa. IRC 2026 Champions at Manipal. Two rovers. Two trophies. One team.
Open to research collaborations, internships, and full-time roles in robotics and control systems.