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Lucas MaingiLM
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Lucas Maingi

@lucasmaingi

AI/ML and full-stack engineer building secure, end-to-end intelligent apps.

Kenya
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What I'm looking for

I’m looking for a team that values engineering excellence while I build secure, measurable AI systems—end-to-end from UI to async APIs—with strong safety/cost governance, CI/CD reliability, and room to grow as an AI/ML engineer.

I’m an AI/ML and full-stack engineer focused on designing, building, and deploying end-to-end intelligent systems—from predictive ML models to agentic LLM architectures.

I build clean, responsive interfaces with Next.js/React, and I orchestrate high-performance, asynchronous backend APIs using Python with FastAPI/Flask. I also develop robust data ingestion pipelines and real-time integrations, including payment gateway work with Safaricom M-Pesa Daraja API.

I care deeply about engineering excellence and reliability: I use Docker for containerized environments, Pytest/Playwright for unit and integration testing, and GitHub Actions for automated CI/CD pipelines. In LLM/agent systems, I prioritize governance, safety, and cost controls through layered execution, verification checks, and secure API gateway patterns.

My standout work includes Hermes (WhatsApp Commerce + M-Pesa flow with a webhook-driven payment lifecycle and an 83-test suite), and LLM-driven systems like SentryBrain (autonomous remediation with manual validation gates) and Argus (CI/CD regression gating for agent performance). I’m also building explainable fraud detection with hybrid models and actionable SHAP insights.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

ALX (African Leadership Group) logoAG

ALX (African Leadership Group)

Data Science Graduate, Data Science

Completed an intensive 13-month ALX professional curriculum covering advanced Python, relational database management (SQL), data warehousing concepts, and software engineering methodologies. Built multiple capstone projects integrating API design, predictive modeling pipelines, and database migrations.

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