Senior Machine Learning Engineer
Current* Demonstrated feasibility of metric and optimization meta-learning on customer's imagery dataset for one-shot and few-shot scenarios. * Led a team who placed 2nd and 3rd overall for Wright Brothers Institute's Swarm and Search AI (SSAI) challenge, as well as received an Innovation Award for our team's vision * Incorporated object detection into a customer's framework. Particularly, You Only Look Twice (YOLT, a YOLO variant). Included building streaming interfaces to feed video to the model, slicing imagery, performing non-max suppression. Achieved roughly 11 FPS on 1080p imagery using a consumer-grade GPU. Supported distributing work to multiple local GPUs. * Assisted in writing proposals for focused on ML-oriented topics.* Completed projects for Udacity's Deep Reinforcement Learning Nanodegree, including implementing classic RL algorithms (REINFORCE, Q-Learning) and training state-of-the-art solutions (DDPG, A2C/A3C, PPO).