Designing Autonomous Systems at MITLL on robotic platforms, such as Boston Dynamics Spot.Research involves creating 3D Scene Graph Technology for enhance scene understanding, path planning, and open-vocabulary reasoning. https://arxiv.org/abs/2404.13696

Engineer working on the research contracts involving Reinforcement Learning for Defense applications, such as the DARPA Air Combat Evolution (ACE) Program and Airforce SBIR work- Trained RL agents for government defense contracts involving transfer learning, trustworthy AI, and complex control systems.- Research PETS and PPO RL algorithms for creating low-to-high fidelity generalized transfer learning algorithm.- Coded custom neural network modules for validating game balance for DARPA Gamebreaker.- Devised novel reward schemes and neural networks for RL AI Fighter Jet Agents on ACE and ADT contracts

Intern at Heron Systems working on the DARPA Gamebreaker Program

Used MATLAB Simulink and C++ to develop a multi-camera fiducial marker-based autonomous landing system for multi-rotor drones.

Intern working on machine learning research for the DARPA Alpha Dogfight Trials to create advanced artificial intelligence fighter jets.

Full time co-op worker developing computer vision solutions on FPGAs for applications to autonomy, aerospace, and defense. Utilizing OpenCV and MATLAB Computer Vision Libraries.

Conducted research at the George Mason University Institute for Advanced Biomedical Research, constructed testing device for stretch and flex sensor calibration using Arduino Uno microcontroller

Aided project management and development of innovative learning methodologies, designed visual system diagrams to represent algorithms and systems