Michael
Legemah
SaaS · AI Systems · Full-Stack
I build full-stack software solutions and production-grade AI systems — from RAG pipelines and LLM architecture to AI-native products that scale. Engineering intelligence into experiences that matter.
Need this shipped,
not demoed?
Fixed-scope builds, eval audits, or embedded capacity — for teams that need agentic AI running in production, not a slide deck. Active DoD Secret clearance for defense-adjacent work.
Production multi-agent workflows and RAG pipelines, designed and shipped end to end.
Find your AI feature's real failure modes, then build the pipeline that catches them.
Embedded senior AI capacity, 2-3 days/week — no six-month ramp-up required.
Trusted by teams at
AI Engineering
at the Principal Level
End-to-end ownership of AI systems — from model selection and architecture through deployment and iteration in production.
Projects That
Ship Intelligence
A mix of AI-native builds and enterprise engineering — each one solving a real problem with craft.
Contact Center Agent & Test/Eval Pipeline
Built a contact center agent leveraging LLMs and RAG for customer support. Implemented a test and evaluation pipeline to assess model performance and improve response accuracy.
RAG/Document Ingestion Pipeline
Built a real-time document ingestion and retrieval pipeline for AI applications. Implemented a system that ingests documents, processes them into embeddings, and enables efficient retrieval for RAG (Retrieval-Augmented Generation) tasks.
OMNY Platform
Led SSR component architecture and CMS integration for a high-traffic editorial platform.
Agentic system builds, eval audits, or embedded capacity — cleared for defense-adjacent work.
What Leaders Say
A track record built on trust, craft, and results — from Fortune 500 to startups.
Michael is one of the most kind, passionate and loyal individuals I have ever worked with. His constant appetite for knowledge keeps him up front in the pack of new technology.
Michael joined our team during an incredibly hectic launch. He fit right in and proved to be a huge help — both for assigned work and helping other developers when called upon.
Michael always stayed one step ahead of tech trends. A motivated team player and leader with a keen eye for the bigger picture — a valuable asset to any organization.
Michael is a no-drama, smart, and a great problem-solver. Not only did he figure out the system quickly, but his skills proved of great service across multiple aspects of the project.
Michael has very solid experience with deep expertise in modern frameworks. Adept at creating customer-focused, mobile-responsive UI with UX in mind.
Michael is one of the most patient, knowledgeable, flexible and understanding people I have ever worked with. Because of his talents, I still work with him to this day.
Recent Writing
Notes from building agentic AI systems in production — what breaks, what works, and what I'd do differently.
What Actually Breaks When You Put LangGraph Agents in Production
Reducer bugs, state bloat, and the deep-merge fix that took a full day to trace — lessons from running multi-agent workflows on AWS Bedrock at scale.
Chunking Strategy Matters More Than Your Embedding Model
Why fixed-size chunking quietly tanks retrieval quality, and what content-hash dedup buys you at scale.
LLM-as-a-Judge: Building Quality Gates Into CI/CD
How an eval pipeline caught stale-context regressions before they reached production, and what it cost to build.
Open to New Engagements
Let's build
something intelligent
Whether you're launching an AI product, scaling an existing system, or just exploring what's possible — let's talk.
michaellegemah@gmail.com