Peter Ott is a Cloud Data and AI Engineer with 13 years of experience building autonomous, production-ready AI systems that simplify and scale complex customer workflows. He designs end-to-end solutions—from LLM agents and prompt engineering to custom attention-based architectures, information aggregation, and cloud-native deployment—with a focus on durability, performance, and measurable operational impact. At Google and previously as a senior data scientist at BTI360, he translated real operational needs into reliable automation that reduces human burden. His background includes custom neural architectures, deep learning data fusion, and applied RAG and fine-tuning for practical NLP tasks. Washington DC–Baltimore based, he brings both customer-facing delivery experience and research-driven innovation rooted in a George Mason Computer Science education. Colleagues would note his knack for turning ambiguous workflows into deterministic, observable systems rather than one-off prototypes.
13 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at George Mason University - College of Engineering and Computing
Contributions:30 commits, 7 PRs, 21 pushes in 2 years 8 months
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