Sreekanth arikatla is an engineering manager specializing in simulation with over 15 years of cross-disciplinary experience applying physics-based simulation, ML, and VR to robotics, automation, and surgical training. He has led end-to-end software and hardware development, validation, and distributed teams across industry and academia, most recently driving simulation efforts at Boston Dynamics after leading Agility Robotics’ simulation program. As the long-time platform lead for the open-source iMSTK toolkit, he shaped multiple major releases and translated research prototypes into validated clinical trainers and funded SBIR projects. His background spans deep technical contributions—novel contact solvers, real-time bone shaving with force feedback, and multigrid solvers—to strategic activities like grant capture and commercialization. Comfortable bridging clinicians, mechanical engineers, and software teams, he combines rigorous PhD-level research with product-minded engineering to move complex simulation systems from idea to deployment. An MIT professional education in applied data science complements his hands-on simulation expertise, enabling pragmatic use of ML in real-time systems.
11 years of coding experience
15 years of employment as a software developer
Master's Degree Mechanical Engineering, Master's Degree Mechanical Engineering at Rensselaer Polytechnic Institute
Applied Data Science Program, Applied Data Science Program at MIT Professional Education
Bachelor's Degree Mechanical Engineering, Bachelor's Degree Mechanical Engineering at National Institute of Technology Karnataka
Extension for 3D slicer that enables user to prototype real-time multi-modal surgical simulation scenarios by leveraging iMSTK
Contributions:1 commit in 1 day
multi-modalmodalleveraging3d-slicersurgical
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