I am looking for full-time research/applied science roles. Previously, I developed reinforcement learning (RL) agents for adaptive control in smart buildings and drones. I have experience with developing physics- and data-driven simulations, running ML fine-tuning experiments, and developing end-to-end pipelines for ML-based controllers.
My prior experience is in digital signal processing, federated learning, and privacy-preserving machine learning. I also have research experience in terabyte-scale astrophysics simulations and FPGA design for radiation hardening experiments.
My prior experience is in digital signal processing, federated learning, and privacy-preserving machine learning. I also have research experience in terabyte-scale astrophysics simulations and FPGA design for radiation hardening experiments.