AI/Full-Stack Engineer

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.

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10+
Years Engineering
15+
Enterprise Clients
∞
Models Deployed
ml_engineer.py
# Principal AI Engineer from anthropic import Anthropicfrom langchain import RAGPipeline class MichaelLegemah:  expertise = [    "LLM Architecture",    "RAG Systems",    "AI Product Engineering",    "Full-Stack Dev",  ]   def build(self, idea) -> Product:    return ship(idea, quality="high") >>> Available for new projects
Claude APILangChainOpenAIVector DBsFine-tuningNext.jsTypeScriptRAG

Trusted by teams at

AWS · AstraZeneca · JP Morgan Chase · US Army · Mayo Clinic · Northrop Grumman · OMNY · The Shadow League · Mini · US Space Force · American Kennel Club · AWS · AstraZeneca · JP Morgan Chase · US Army · Mayo Clinic · Northrop Grumman · OMNY · The Shadow League · Mini · US Space Force · American Kennel Club · 
What I Do

AI Engineering
at the Principal Level

End-to-end ownership of AI systems — from model selection and architecture through deployment and iteration in production.

🧠
01
LLM Architecture & RAG
Designing production-ready RAG pipelines, embedding strategies, and context window optimization for real enterprise workloads.
ClaudeGPT-4LangChainPinecone
⚡
02
AI Product Engineering
Translating AI capabilities into user-facing products. Rapid prototyping to scalable backends with UX that makes AI feel intuitive.
Next.jsReactTypeScript
🔬
03
Fine-tuning & Evals
Systematic prompt engineering, RLHF workflows, and evaluation frameworks ensuring AI outputs are reliable and business-aligned.
LoRAPEFTW&BDeepEval
🏗️
04
Scalable Infrastructure
High-performance APIs, microservice architectures, and cloud deployments built to handle AI workloads at scale.
AWSGraphQLDocker
🎯
05
AI Strategy & Leadership
Partnering with stakeholders to identify high-leverage AI opportunities and lead engineering teams through ambiguity.
System DesignRoadmapping
✨
06
Agentic Workflows
Building autonomous agent pipelines, multi-step tool use, and intelligent automation that eliminates bottlenecks.
AgentsTool UseMCP
Selected Work

Projects That
Ship Intelligence

A mix of AI-native builds and enterprise engineering — each one solving a real problem with craft.

AI infrastructure at AWS
Contact Center Agent & Test/Eval Pipeline
▲ Real-time◎ Agentic AI↗ RAG
AI · RAG · Real-time

RAG/Document Ingestion 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.

View Case Study →
Amazon Connect · Lex · React · Bedrock · DynamoDB · S3 · Lambda · AppSync · DeepEval
📑
AI · RAG · Real-time

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.

View Case Study →
AWS Textract · Bedrock Titan · OpenSearch · Step Functions · DynamoDB · S3 · Lambda
🌆
Full-Stack · SSR · GraphQL

OMNY Platform

Led SSR component architecture and CMS integration for a high-traffic editorial platform.

View Site →
React · Laravel · GraphQL · PHP
View All Projects →
Social Proof

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.

FD
Frank Durante
Internet App Specialist, Nikon

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.

SK
Scott Kogos
SVP Dir. PM Operations, Doner

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.

MA
Mo Akram
VP of Recruiting, Petfolk

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.

TL
Tony Landa
VP Dir. of Technology, FCB Health

Michael has very solid experience with deep expertise in modern frameworks. Adept at creating customer-focused, mobile-responsive UI with UX in mind.

AG
Alla Gringaus
Global Web Perf Lead, Estée Lauder

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.

YK
Yussuf Khan
Media Executive & Entrepreneur

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