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Peter Henshaw

@peterhenshaw

I build enterprise agentic AI platforms, LLM applications, and scalable APIs for regulated environments.

United States
Message

What I'm looking for

I'm looking to lead enterprise AI and machine learning initiatives that build secure, scalable LLM applications, reusable agentic AI components, and responsible AI solutions in regulated environments.

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

FI

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 logoUT

University of North Texas

Bachelor's degree

2017 - 2019

Pursued a Bachelor's degree at the University of North Texas from 2017 to 2019.

Tech stack

Software and tools used professionally

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