
Peter Henshaw
@peterhenshaw
I build enterprise agentic AI platforms, LLM applications, and scalable APIs for regulated environments.
What I'm looking for
I've led enterprise agentic AI platform development at FirstEnergy and Hexagon Asset Lifecycle Intelligence, building modular multi-agent workflows with Claude 3.5, LangGraph, RAG, vector databases, and reusable AI components.
At Charles Schwab, I built secure Python and FastAPI applications for regulated financial services, including LLM-based automation, multi-node data retrieval architectures, and AI-enabled customer and portfolio-management capabilities. Earlier at JPMorganChase, I automated deployments, improved CI/CD pipelines, and strengthened security and compliance for deployed applications.
I also mentor engineers on AI security, responsible AI, prompt engineering, architecture, and secure development practices.
Experience
Work history, roles, and key accomplishments
Principal Machine Learning Engineer
FirstEnergy
Dec 2022 - Aug 2026 (3 years 8 months)
Led the design and implementation of an enterprise-grade Agentic AI orchestration platform using Claude 3.5 and LangGraph, creating modular workflows for scalable LLM-based applications. Developed reusable AI components and integrated RAG techniques with vector databases to enhance model training and retrieval.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Bachelor's degree
2017 - 2019
Pursued a Bachelor's degree at the University of North Texas from 2017 to 2019.
Availability
Location
Authorized to work in
Website
peter-henshaw.vercel.appJob categories
Skills
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