Ashish Mehta
Staff Machine Learning Engineer at Hippocratic AI
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolAshish Mehta is a Staff Machine Learning Engineer with nine years of experience building data-intensive ML systems, autonomous driving behavior planning, and AI robotics research. He blends research-grade expertise in reinforcement learning and deep learning with production MLOps and cloud-native engineering, having shipped behavior prediction and planning features at Qualcomm and now leading ML efforts at Hippocratic AI. Comfortable across Python, C++, embedded C and experimental Mojo, he designs distributed, scalable pipelines using tools from PyTorch and TensorFlow to DVC, MLflow and BigQuery. His background in robotics (MSE from UPenn) informs a pragmatic approach to bridging simulation-grade research and real-world deployment, including prior work on end-to-end urban driving and RL-based planners. Colleagues appreciate his full-stack curiosity—equally at home optimizing model export with ONNX or implementing C++ performance paths with pybind11—bringing both systems-level rigor and research-driven innovation.
9 years of coding experience
6 years of employment as a software developer
High School, High School at Fergusson CollegeBachelor of Technology - BTech Mechatronics, Bachelor of Technology - BTech Mechatronics at Manipal Academy of Higher EducationHigh School, High School at Hutchings High School & Junior CollegeMaster of Science in Engineering - MSE Robotics, Master of Science in Engineering - MSE Robotics at University of Pennsylvania
Hindi, English
Github Skills (22)
simulator10
computer-vision9
unreal-engine-49
simulation9
imitation-learning9
gymnasium9
ros9
q-learning9
deep-reinforcement-learning9
carla8
autonomous-driving8
deep-learning8
cross-platform8
autonomous-vehicles8
reinforcement-learning8
Programming languages (4)
Github contributions (5)
AshishMehtaIO/active-learning-NER
Apr 2020 - May 2020
Contributions:7 commits, 7 pushes in 8 days
AshishMehtaIO/Quadruped-robot-DQN
Dec 2017 - Nov 2018
Contributions:1 push, 1 branch in 11 months
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