David Riser
Machine Learning Engineer
Williamsburg, Virginia, United States
Summary
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SeniorDavid Riser is a Senior AI Engineer with a decade of technical experience and over five years focused on building deep learning, Bayesian, and LLM-driven systems from prototype to production. He designs robust, experimental ML pipelines with automated benchmarking, unit testing, and monitoring to drive measurable improvements—reducing hallucinations and failure rates while accelerating data analysis by multiples. At the DoD he architected distributed microservice generative-AI platforms, led a team to deliver agentic analysis and visualization tools, and implemented RAG search and asynchronous ETL that cut runtime and manual search time substantially. His background in nuclear physics and PhD-level experience with large-scale statistical inference and MCMC sampling gives him unusual strength in probabilistic modeling and principled evaluation. Now based in Williamsburg, VA, he continues to blend research rigor with practical engineering—shipping containerized GPU inference services and production-ready ML infrastructure. Colleagues rely on him for turning complex quantitative problems into auditable, high-performance systems.
10 years of coding experienceProgramming languages (2)
Github contributions (5)
david-riser/33k-images
Apr 2020 - Jul 2020
Contributions:155 pushes, 1 branch in 2 months
david-riser/rlmp
Jun 2020 - Nov 2020
Reinforcement Learning Micro-Project (RLMP): A learning adventure
Contributions:6 PRs, 62 pushes, 1 branch in 4 months
deep-learningreinforcement-learningdeep-reinforcement-learningneural-networkreinforcement
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