Summary
Adithya Mohan is a Senior Machine Learning Engineer with 8 years of experience specializing in AI, deep learning, and robotics, currently based in Manchester, NH. He blends academic research—developing deep reinforcement learning for robot navigation at the University of Cincinnati—with applied R&D, delivering production-ready perception and simulation systems at DEKA and Stack AV. His work spans LIDAR and camera calibration, 3D object detection, sensor modeling, and synthetic data generation using VAEs/GANs, and he has accelerated CPU model performance through quantization efforts. Comfortable across C/C++, Python, PyTorch/TensorFlow, ROS, Unity, and compute-shader simulation, he builds end-to-end pipelines from simulator to deployment. Notably, he created LIDAR re-rendering and dynamic obstacle behavior models using DRL to recreate rare edge cases for safer autonomy. He combines a strong embedded-hardware background (FPGA, Raspberry Pi, Arduino) with cloud data pipelines and GUI tooling, enabling both rapid prototyping and scalable ML systems.
8 years of coding experience
7 years of employment as a software developer
Master's degree Electrical Engineering, Master's degree Electrical Engineering at University of Cincinnati
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Sri Sai Ram Institute Of Technology
Nanodegree in Deep Reinforcement Leanring Artificial Intelligence, Nanodegree in Deep Reinforcement Leanring Artificial Intelligence at Udacity