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Stephen Sequenzia

Senior Staff AI/ML Engineer & Architect

Orlando, FL

Active Secret Security Clearance

Senior Staff AI/ML Engineer & Architect with 24+ years building production ML, data, and software systems end to end — now focused on agentic AI in secure, large-scale defense environments. At Lockheed Martin, architected an enterprise MLOps framework and an Apache Arrow-native data lakehouse, cut deep learning training time by over 94%, and drove team-wide adoption of multi-agent systems built with Pydantic AI, LangChain/LangGraph, and custom Model Context Protocol (MCP) servers. Two decades as an owner-operator pairing deep hands-on engineering with technical leadership that turns cutting-edge AI into reliable, measurable business value.

cat highlights.md

  • Serve on the leadership team of The Forge, guiding architecture across 8 concurrent efforts and leading agentic AI enablement reaching 100+ engineers
  • Architected an enterprise MLOps framework cutting production deployment time by roughly 85% — from ~2 weeks to under 2 days
  • Delivered 6+ production AI agents and custom MCP servers on Kubernetes and AWS GovCloud using Pydantic AI and LangChain/LangGraph
  • Author of three open-source ML frameworks — Photon, Maxwell, and Dyson — spanning the full deep learning lifecycle
24+
Years Engineering
94%
Faster Model Training
95%
Faster DB Queries
3
Open-Source ML Frameworks

Senior Staff AI/ML Engineer & Architect

Lockheed Martin CorporationOct 2022 — Present

ML Engineer | Software Engineer | Data Engineer | Owner

Applied Theta IncFeb 2016 — Oct 2022

Data Engineer | Software Engineer | IT Consultant | Owner

Zia Technology Group IncMar 2010 — Aug 2020

Agentic AI & LLMs

Pydantic AILangChainLangGraphMCPRAG Pipelines+1 more

AI/ML Frameworks

PyTorchTensorFlowKerasScikit-learnNumPy+1 more

Data Engineering

Apache AirflowApache ArrowApache ParquetDaskPostgreSQL

Cloud & Infrastructure

AWSKubernetesDockerGPU/CUDA Acceleration

Languages

PythonC++SQL

Let's build something

Open to conversations about agentic AI, ML systems, and hard data problems.