About scott
Currently work on Computer Vision/Machine Learning at a Startup. Mix of research, development, and productization. Most interested in research.Tech stack is Python for research and C++ for production.Industries of interest: National Security, Quantitative Finance, TechnologyGeneral interests: Machine LearningComputer VisionStatistics/probability theoryOptimizationStochastic processesManifold geometry (Lie groups)Control theory (sensor fusion, GNC, reinforcement learning)
Key Skills
Experience
Machine Learning Researcher & Engineer
CurrentTerra Pixel
Computer vision, sensor fusion, machine learning. Terra Pixel provides a vision based alternative to GPS
Graduate Teaching Assistant
University Of Illinois Urbana-champaign
Machine Learning Research & Development Intern / Gra
Sandia National Laboratories
Deep Reinforcement learning, control theory, computer vision. - RL for time-series control (POMDPs): Built PPO agents with GRU/LSTM on hand-derived quadrotor dynamics; achieved near-MDP performance under sensor/actuator noise and failure; analyzed convergence & innovated training regimes to significantly improve generalization (convergence would fail without these techniques) - Neuro-adaptive control: Extended a Lyapunov-aware recurrent controller for faster adaptation than non-recurrent baselines (paper basis: https://arxiv.org/abs/1909.08602) - Model efficiency & HPC: 75% model-memory reduction via pruning/quantization on constrained hardware; HPC cluster (DGX) usage for training and experiments on Linux
Education
University Of Illinois Urbana - Champaign
Master Of Science
University Of Illinois Urbana - Champaign
Bachelor Of Science
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Common Questions
What is scott's expertise?
scott specializes in AI Researcher, with expertise in algorithm development, algorithms, analytical skills, artificial intelligence, autonomous systems.
Where is scott located?
scott is based in washington, district of columbia, united states.
How much experience does scott have?
scott has 7+ years of professional experience.
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