Charles Peeke
Machine Learning Engineer at Trident IoT
United States
Summary
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Top SchoolCharles Peeke is a Machine Learning Engineer with eight years of software development experience and advanced academic training (MS, PhD ABD) focused on making AI practical for resource-constrained and real-time systems. He builds production-ready ML pipelines and anomaly detection for high-throughput IoT data and has designed LLM+RAG search solutions over thousands of pages of protocol documentation with sub-10-second retrieval. Comfortable bridging research and product, Charles led NSF-funded AI-human systems work and published novel neural network scheduling and imprecise-computation approaches for hard real-time tasks. He mentors and teaches—running large undergraduate labs and supervising mixed teams—while also shipping integrations and APIs in industry settings. Known for pragmatism, he pairs deep theoretical insight with hands-on engineering to speed decision-making and augment human expertise. Outside work he’s a self-described “wonder aficionado” and avid shoe-wearer, hinting at a curious, personable edge behind his technical focus.
7 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The George Washington UniversityBachelor’s Degree, Computer Science and Mathematics, Bachelor’s Degree, Computer Science and Mathematics at Moravian College
English, spanish (conversational)
Github Skills (5)
django7
python6
flask2
boinc1
docker1
Programming languages (3)
Github contributions (5)
MoravianCollege/regulations-boinc
Jun 2018 - Jul 2018
Contributions:5 PRs, 3 pushes, 31 comments in 11 days
Charles-Peeke/clashboard
Mar 2019 - Apr 2019
Contributions:15 pushes, 8 branches in 1 month
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