I ‘m a full-stack AI engineer who builds systems that think, learn, and adapt. My name is Lannon, and I specialize in Python, cloud infrastructure, and production AI systems. From evaluating large language models to architecting document intelligence pipelines on Azure, I build tools that turn complex data into clear, actionable insight. Currently, I’m engineering AI-powered legal tech at Sweet James, where I design end-to-end systems spanning OCR, RAG, and workflow automation.
I’ve gone from building robotics analytics platforms and NLP-powered education tools to engineering production AI systems at scale. My stack spans Flask, AWS, Azure, Supabase, and n8n workflow automation. I architect document intelligence pipelines, build RAG-powered demand letter generators, and design citation verification systems — all shipped to production and used daily by legal professionals.
“Mission Blue Scorpion came from my zodiac sign. Someone told me I was a water scorpio or something and I thought that sounded cool.”
2021
Earned my B.S. in Information Systems from Cal State Fullerton. Taught 150+ students how to program IoT devices through a district-wide initiative, collaborating with ASD faculty to deliver hands-on tech education.
2022
Helped lead a 4-person engineering team to build a scalable LMS platform using Flask and React. Integrated ML models for student feedback and performance analytics, improving grading efficiency by 40%.
2023
Generated 2,500+ training examples for code completion and ML tuning. Built Python scripts for prompt evaluation and worked closely with research teams to improve alignment and model outputs.
2024
Built and shipped two AI tools: Data Forge, an EDA assistant powered by OpenAI, and Property Pulse, a LangChain-based chatbot for real estate agents. Combined RAG pipelines with NLP and visual storytelling.
2025
Completed the Cloudberry Full-Stack AWS Bootcamp and a Generative AI for Data Science program. Submitted Data Forge to Microsoft's AI Hackathon. Deployed this portfolio on EC2 with S3, RDS, Secrets Manager, and Gunicorn behind Nginx with SSL.
2025–2026
Building production AI systems for a legal tech firm. Engineered an AI check validation system with Azure Document Intelligence and OCR pipelines. Built SJ Chatter Box, a RAG-powered demand letter generator with citation verification, side-by-side PDF review, and Word export. Architected n8n workflow automation for Salesforce syncing, multi-container orchestration, and real-time data pipelines — all deployed on Azure and Supabase.