In robotics, the spotlight tends to fall on the science: the computer vision, the machine learning, the control systems. And yet, top-talent companies like Boston Dynamics can master all of that but still struggle to turn it into a scalable, sellable product.
Architected a physics-based robotic simulation framework to support rapid development and testing of robotic control software.
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Led project planning, including requirements gathering, prioritization, and cross-functional coordination with engineering teams.
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Created high-fidelity robotic system models exported from SolidWorks, optimizing simulation accuracy and runtime performance.
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Automated processing of URDF files, including mesh decimation, metadata extraction, and convex decomposition (V-HACD).
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Mocked real-world hardware interfaces including motor controllers, sensors, CAN bus, and Redis-based IPC—to streamline code portability between simulation and physical systems
o Collaborated with clients post-sale to prepare facility environments and networking for seamless robot integration.
o Ensured peak performance at client sites through regular on-site visits.
o Provided hands-on training on optimal robot usage and maintenance practices, while identifying and triaging robot issues to engineers for continuous improvement.
o Proactively communicated with customers to ensure adherence to SLAs, maintaining high levels of customer satisfaction.
o Participated in on-call rotations and manned customer hotline to monitor and uphold SLOs, promptly addressing issues to maintain continuous robot performance.
o Directed preparation and quality inspection of robots, ensuring compliance with QA standards and customer specifications.
Networking:
o Devised and implemented network topology (TCP/IP) for ultra high-bandwidth edge-cloud hybrid system architecture.
o Ensured scalability and adaptability of robot network infrastructure in evolving environments.
o Implemented robust security measures to safeguard systems from internal and external threats.
Hardware:
o Developed visual representations of customer applications to showcase robotic capabilities to pre-sale clients and investors.
o Crafted detailed digital 3D mock-ups and simulations, enabling engineers to refine and optimize system designs with greater precision and efficiency without the need for physical environments.
o Innovated end-of-arm tooling, strain relief mechanisms, camera mounts, and other robotic components.
o Tracked and maintained BOM for robot systems, optimizing procurement and inventory management processes.
Devops:
o Implemented and refined internal tooling platforms for robot observability, reliability, debugging, and logging.
o Created documentation and tools for efficient incident identification and resolution, ensuring minimal downtime.
o Enhanced user experience of terminal interfaces for readability, ease of use, and development efficiency.
Researched and published the design of an autonomous magnetic needle for hernia repair.
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Optimized computer vision algorithm to detect a needle’s coordinates using the Python OpenCV package. Increased frame rate from 9 fps to 500 fps without sacrificing accuracy.
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Wrote code to test accuracy and frame rate of the computer vision algorithm.
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Designed and 3D printed light mount to improve the camera’s effectiveness.
