Software Engineer at The Hi-Tech Robotics Pvt. Ltd.
Munster, Ireland
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Summary
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Senior
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Top School
Puneet Tiwari is a software engineer and robotics specialist with 8 years of experience building autonomous mobile platforms, from warehouse AMRs to humanoid gait controllers. He has led vehicle-level architecture and end-to-end autonomy efforts—spanning deep-learning vision, perception, planning, RTOS control, digital twins, and synthetic data pipelines—most recently as CTO driving an autonomous forklift and AMR portfolio. His background blends academic research in humanoid and UAV control with hands-on product delivery, giving him fluency in both theoretical control methods and production systems. Puneet is completing a doctorate in Generative AI while also pursuing advanced self-driving car studies, reflecting a commitment to merging cutting-edge ML with robotics. Colleagues rely on him to translate complex autonomy roadmaps into integrated software, hardware, and safety solutions across cross-functional teams. Based in Munster, Ireland, he combines systems-level thinking with practical implementation skills—an engineer who prototypes in simulation and ships on real vehicles.
8 years of coding experience
8 years of employment as a software developer
Doctorate Generative AI, Doctorate Generative AI at Golden Gate University
Master of Engineering (M.Eng.) Electronics and Instrumentation Engineering, Master of Engineering (M.Eng.) Electronics and Instrumentation Engineering at Thapar Institute of Engineering & Technology
Master's degree Advanced Robotics Controls and Applied Informatics, Master's degree Advanced Robotics Controls and Applied Informatics at Centrale Nantes
Self-Driving Cars Specialization Research and Development, Self-Driving Cars Specialization Research and Development at University of Toronto
Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.
Contributions:17 commits, 17 pushes, 1 branch in 1 month
Contributions:12 commits, 20 pushes, 4 tags in 2 months
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