I designed the end-to-end architecture for Robosim AI’s robotics and digital-twin platform, separating a durable product control plane from isolated cloud-hosted simulation environments. I also authored its technical whitepaper and led direction across backend, frontend, robotics, AI agents, simulation, and cloud infrastructure.
I built agentic robotics capabilities including plug-and-play agent harnesses, validated tool execution, long-running workflows, structured inputs, and approval-gated actions. I defined isolated on-demand simulation runtime architecture using AWS, Terraform, ECS on EC2, private networking, runtime workers, and authenticated edge services.
At Enova Robotics, I led cross-functional R&D delivery for autonomous mobile robots and cobot solutions, spanning technical strategy, client alignment, deployment, and lifecycle support. I developed navigation stacks, SLAM-based localization, decision-making state machines and behavior trees, sensor drivers, CAN battery-management integration, and motor-control tuning.
I've also delivered robotics simulations in Gazebo and CARLA, supervised work on camera–LiDAR fusion and multi-robot coordination, and taught a certified ROS and Mobile Robotics course. As a freelance engineer, I co-designed an autonomous airport transport vehicle concept and built LLM-driven research and robotics code-analysis platforms.
