About
Me
SRE with 9+ years of experience in systems engineering and software development within the complex, regulated financial services industry. Proficient in Python, Go, Java, and TypeScript with hands-on experience in cloud computing, CI/CD pipelines, and DevOps practices.
Outside of work, I've been going deep on LLMs, RAG pipelines, and AI-powered tooling — building projects that integrate large language models with vector search, real-time data pipelines, and full-stack web applications. The projects below are where I spend my nights and weekends.
I'm looking to bring my production engineering background together with my passion for AI into a role where I can build intelligent applications full-time.
Experience Highlights
Systems Engineer, Analyst 3
Lake Michigan Credit Union • November 2021 - Present • Grand Rapids, MI
Engineered and administered core banking automation via Python and shell scripts. Primary focus on supporting product and services teams, ensuring platform features were available for consumption before production releases.
Infrastructure Engineer
Healing Organic Garden • April 2020 - November 2021 • Rockford, MI
Architect for IoT network infrastructure and security system integration. Developed custom software solutions for inventory management, improving SKU stock tracking and measurement of crop yield.
Previous Experience
2015 - 2020 • Multiple Roles
SRE Manager at Michigan One Community Credit Union and Software Reliability Engineer at Ionia Public Schools. Expertise in core banking infrastructure, virtualization, network management, and enterprise systems.
Quick Facts
9 years, 2 months in production
Python | Go | Java | TypeScript
LLMs | RAG | automation | hardware
● active (running) • open to opportunities
Education
Technical
Skills
9+ years across systems, cloud, and software development — with a growing focus on AI-powered applications and full-stack tooling.
Languages
Cloud & DevOps
AI & Data
Infrastructure
Languages
Cloud & DevOps
AI & Data
Infrastructure
Featured
Projects
What I build on nights and weekends — LLM integrations, RAG pipelines, real-time dashboards, and tools I actually use.
LoRa Sensor Dashboard
Real-time LoRa sensor mesh monitoring with LLM-powered anomaly detection. Sensors push telemetry via HTTP, the backend detects anomalies with statistical thresholds and Claude analysis, and a Next.js dashboard shows live status via WebSocket.
codeharness
Minimal AI coding agent TUI with built-in RAG for automatic context enrichment. Multi-backend LLM support (Claude, OpenAI, Ollama) with a custom vector search pipeline that retrieves relevant codebase context for every query.
Second Brain
Personal knowledge base with RAG-powered Q&A. Ingest markdown, text, and PDFs, chunk and embed them into a vector store, then ask natural language questions across all your documents with sourced answers.
RPG Generator
LLM-powered tabletop RPG content generator. Create campaigns, then generate NPCs, quests, combat encounters, and loot with AI. Structured data in PostgreSQL, flexible schemas in MongoDB, with full audit trails.
RAGDocParser
Document parser built for RAG pipelines. Handles PDFs, DOCX, images (OCR), and web scraping. Chunks text intelligently, embeds into ChromaDB, and exposes a FastAPI search interface.
TF-NLP-Agent
Describe your infrastructure in plain English, get valid Terraform HCL. Uses NLP to parse intent and cloud provider, then generates configs with built-in security scanning.
GardenInventory
Full-stack garden management app — track plants from seed to harvest, manage supply inventory with low-stock alerts, and view yield analytics over time.
Resume
Download my full resume or view the highlights below.
Full Resume
PDF Format • 2 pages
Comprehensive overview of my experience, technical skills, education, and project portfolio. Optimized for both human readers and ATS systems.
Quick Stats
What You'll Find
Get In
Touch
Let's build something amazing together. I'm always open to discussing new projects, creative ideas, or opportunities.
Let's Talk
Whether you have a project in mind, want to discuss opportunities, or just want to say hi—I'd love to hear from you.
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