Engineering manager with 10+ years shipping fintech and payments software. Augustus Engineering is my applied-AI lab: I build AI products with a verifier in the loop, and the ones that hold up become companies.
The day-job track: leading engineers, making architecture calls, and keeping delivery moving.
Manages the close-in work of engineering: 1:1s, growth plans, hiring, performance tracking, technical direction, and delivery outcomes.
Owns architecture and product decisions in a fast-moving environment, then keeps the path short enough for features to move from concept to production in days.
Pushes CI/CD and test strategy improvements so the team can ship faster with confidence.
Built resilient REST APIs for trading platforms where correctness and uptime were non-negotiable.
Improved data processing speed by 50% with concurrency patterns and reduced CRUD execution by 30% through batching.
Raised code coverage by 5% and spent real time in reviews and pairing across experience levels.
Led a three-engineer team through a .NET Core and Azure migration, including the architecture roadmap and training paths needed to make it stick.
Introduced a blue/green deployment strategy and tightened the codebase enough to improve quality and maintainability by 20%.
Helped raise team capability by 30%.
Shipped enterprise software through a compliance-driven SDLC, where the work had to be documented, reviewed, and boring in the right places.
Led stakeholder sessions for requirements gathering, optimized data retrieval by 15%, and helped move legacy systems into MVC.
Real products, each started with a real problem.
A personal grocery-spend tracker that turns paper and email receipts into structured purchase history. A vision pipeline (Rapid OCR with an LLM fallback) extracts line items, prices, store, and date into a queryable price database — "where is milk cheapest?" — with a competitive-intelligence layer that mines competitor app reviews to surface unmet needs. Every dollar is grounded in a receipt you actually scanned.
A personal finance platform built to answer a simple question: "Where did my money actually go?" It helps people understand spending behavior through automation, AI-powered receipt processing, and data visualization. Plaid integration and Celery async jobs handle external data sync, background processing and resilient financial workflows.
A natural-language health tracking application. Instead of filling out forms, you simply describe what happened — and the system organizes symptoms, events, food consumption, and timelines automatically.
Open to AI Engineer and AI Engineering Manager roles, and to conversations with founders and investors. Use the form or email me directly.