Gautam Ramachandra
Head Of AI For Space at Bellatrix Aerospace
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolGautam Ramachandra is a technology executive and Head of AI for Space with a decade of experience turning advanced academic research—particularly in biomechanics and computational neuroscience from IISc—into production-grade AI systems. He has founded and led multiple startups and served as CTO, applying models originally developed for neuroprosthetics and human motor control to robotics, autonomous navigation, and critical business domains like healthcare and finance. Known for bridging theory and product, he builds foundational IP and deployable AI that deliver measurable cost and productivity gains. His open-source contributions include practical secure-computation examples in the widely used PySyft project and reinforcement-learning work on Stanford’s OpenSim environments, reflecting hands-on expertise in privacy-preserving ML and biomechanical simulation. Based in Bengaluru, he combines academic rigor with startup grit and a track record of commercial exits and industry partnerships. An under-the-radar strength is his ability to design at both the algorithmic level and low-level systems (FPGA/microcontroller to cloud), enabling end-to-end delivery of complex autonomous systems.
10 years of coding experience
7 years of employment as a software developer
Bachelors of Engineering, Electronics and Communication Engineering, Bachelors of Engineering, Electronics and Communication Engineering at Visvesvaraya Technological UniversityPre University College, Electronics, Pre University College, Electronics at SVEINanodegree, Deep Learning, Nanodegree, Deep Learning at UdacityElectrical and Electronics Engineering, Electrical and Electronics Engineering at Bharatiya Vidya Bhavan, Mysore
English, Kannada, Sanskrit
Stackoverflow
57reputation
13kreached
10answers
5questions
Github Skills (19)
pytorch10
python10
federated-learning10
sym10
reinforcement-learning9
numpy9
cryptography9
deeplearning-ai9
deep-learning9
machine-learning7
jupyter-notebook6
documentation6
flask6
automation6
fedora6
Programming languages (10)
Github contributions (5)
stanfordnmbl/osim-rl
May 2018 - Jul 2018
Reinforcement learning environments with musculoskeletal models
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 commits, 17 PRs, 12 comments in 2 months
Contributions summary:Gautam primarily contributed to the project by updating existing files. They made modifications to both the Python code in `osim/env/osim.py` and the documentation in `docs/index.html`, indicating a focus on both the backend and frontend aspects of the project. The commits show they are also removing unused code and fixing typos. These changes suggest the user is involved in maintaining and improving the overall project functionality and user experience.
physicsbiomechanicskinematicsmusculoskeletal-modelsmusculoskeletal
OpenMined/PySyft
Sep 2017 - Sep 2017
Perform data science on data that remains in someone else's server
Role in this project:Data Scientist
Data ScientistContributions:20 commits, 3 PRs, 6 comments in 6 days
Contributions summary:Gautam primarily contributed to example notebooks demonstrating Paillier homomorphic encryption for linear classification within the PySyft library. Their commits include updates to the example, importing necessary libraries like `syft`, `sklearn`, and `phe`. They also made multiple iterations of changes to the `math.py` file, adding a relu function. These changes indicate a focus on practical applications of secure computation and the implementation of core mathematical operations.
pytorchcryptographyacquiringpythonscience
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