I am a robotics software engineer and technical product manager with more than four years of experience across quadruped autonomy, rehabilitation exoskeletons, robot simulation, embedded control, and agentic systems. I work across the engineering and product layers: from ROS2 architecture and robot integration to customer discovery, requirements, prioritization, and MVP delivery.
At LabCD.ai, I moved from Robotics Software Engineer to Technical Product Manager in February 2026. I helped take AgenticControl, a multi-agent framework for control-system design, from concept to MVP; conducted more than 100 customer interviews; defined product requirements and system architecture; and coordinated seven engineers and three stakeholders.
Alongside my product work, I am completing an M.Sc. in Mechatronics Engineering at Iran University of Science and Technology. My research focuses on risk-aware quadruped navigation using deep reinforcement learning, Isaac Gym, Dijkstra planning, and MPPI. The reported framework trained across 12,000 parallel environments, reached 94.2% success on unseen maps, and reduced simulated collisions by 71.4% relative to monolithic baselines.
What I Work On
- ROS2 robotic software in Python and C++, including sensor, actuator, control, and motion-planning pipelines.
- Robot learning, reinforcement learning, perception, and risk-aware autonomy.
- Simulation-to-real and hardware-in-the-loop workflows with Isaac Gym/Sim, Gazebo, RViz, and MoveIt.
- Product vision, MRD/PRD authoring, customer discovery, roadmapping, and MVP scoping.
- Cross-functional delivery across robotics, control, AI, software, and business teams.
Selected Experience
Technical Product Manager
LabCD.ai, Feb 2026 - Present
- Authored the founding MRD, business plan, and business canvas for an agentic-AI startup.
- Turned market research, competitive analysis, and 100+ customer interviews into product requirements and a prioritized roadmap.
- Defined the architecture and validation logic for AgenticControl and helped advance it from concept to MVP.
- Coordinated seven engineers and three stakeholders across AI, control, software, and business.
Robotics Software Engineer
LabCD.ai, Nov 2025 - Feb 2026
- Designed an agent workflow for trimming, state-space realization, controller generation, and closed-loop simulation.
- Built topology parsing and signal-interconnection logic and integrated numerical solving, linearization, stability, and frequency-domain analysis.
Researcher and Robotic Software Engineer
IUST AI and Dynamic Systems Research Lab, Nov 2024 - Present
- Designed requirements, evaluation criteria, and reinforcement-learning components for hierarchical quadruped navigation.
- Orchestrated 12,000 Isaac Gym environments and combined global Dijkstra planning with 256,000 concurrent MPPI trajectories.
- Contributed to ROS2/RViz sim-to-real integration for a 5-DOF robotic arm.
Technical and Product Manager
Diginext Startup Camp, Aug 2025 - Nov 2025
- Defined the vision, requirements, roadmap, and technical architecture for an LLM-powered video-editing product.
- Built an internal MVP prototype through five-week Agile sprints; the project paused before external user testing or launch.
Robotic Software Engineer
FUM Center of Advanced Rehabilitation and Robotics Research, Feb 2022 - Jan 2024
- Built modular ROS2 C++/Python stacks for exoskeleton sensing, motor control, calibration, and real-time assistive torque.
- Served as project manager and main author for a fuzzy assist-as-needed knee-exoskeleton controller running at 250 Hz.
- Integrated and calibrated sensors, motors, Raspberry Pi control boards, and communication interfaces.
Education
M.Sc. Mechatronics Engineering
Iran University of Science and Technology, 2024 - 2026
Thesis: Risk-aware path planning and control for a quadruped robot under interaction uncertainty using deep reinforcement learning, Isaac Gym, and MPC/MPPI.
Bronze Medalist, 2025 Talent Development Award, Department of Mechanical Engineering.
Diploma in Product Management
Alison Academy, 2023 - 2024
Product lifecycle management, Agile/Scrum, UX and design thinking, market research, experimentation, and data-driven strategy.
B.Sc. Mechanical Engineering
Ferdowsi University of Mashhad, Sep 2018 - Feb 2024
Project: Design, simulation, and implementation of a real-time fuzzy control system for a knee exoskeleton robot using MATLAB, C++, Python, ROS2, and Raspberry Pi.
Awarded Best Technologist Student of 2023 by the Department of Mechanical Engineering.
Core Capabilities
Robotics software: ROS2, Python, C++, RViz, MoveIt, Gazebo, sensor and actuator integration.
Simulation and control: Isaac Gym/Sim, MATLAB/Simulink, Simscape Multibody, reinforcement learning, MPC/MPPI, fuzzy and PID control, sim-to-real, hardware-in-the-loop.
AI and perception: Deep reinforcement learning, LLM/VLM and multi-agent systems, OpenCV, YOLO, Depth Anything V2, Kalman filtering.
Product and delivery: Product strategy, MRD/PRD, customer discovery, roadmapping, prioritization, Agile/Scrum, MVP development, and stakeholder coordination.
Engineering tools and hardware: Git, Docker, Linux, MATLAB, Raspberry Pi, Arduino, ESP32, motor controllers, IMUs, encoders, and PLC systems.