Senior AI Engineer | Generative AI | LLMs | RAG Pipelines | AI Agents | Full Stack

I build AI products that work outside the demo.
For close to seven years I've worked across software engineering and applied machine learning, most recently on LLM powered features and the evaluation loops behind them.

That means retrieval systems grounded in real client data, the Python and Go services that serve them at production traffic and the benchmarks that tell you honestly whether a change made the model better or just different.

Before AI took over most of my work I was a founding engineer, building a company's first platform from an empty repository through to paying customers.

That shaped how I work now. I like owning a system from the data layer through to deployment, I care about clean architecture and measurable quality and I'd rather ship something narrow that holds up than something broad that impresses once.

A year evaluating frontier models at DataAnnotation gave me an unusually close view of where these systems fail, which turns out to be the most useful thing I know as an engineer building on top of them.

Currently open to senior AI engineering roles.

Work Terms

Hours of Operation

Monday–Friday: 9:00 AM–6:00 PM CT
Available for scheduled meetings outside these hours when needed. I work primarily asynchronously and keep communication focused on clear requirements, progress, technical decisions, and deliverables.

Payment Terms

Flexible — hourly or milestone-based fixed-price projects.

- Hourly engagements: billed based on actual engineering time.
- Fixed-price projects: payments structured around agreed milestones and deliverables.
- Larger projects can be divided into clearly defined phases to reduce risk and provide visibility throughout development.
- I prefer agreeing on scope, deliverables, and acceptance criteria before beginning substantial work.

Preferred Communication

Guru messages + scheduled video calls when useful.

I prefer concise, technically clear communication with written requirements and decisions documented in the project conversation. For complex architecture, AI/LLM behavior, or project planning, I’m happy to use scheduled video calls to work through the details.

Working Style

Senior, hands-on, and outcome-focused.

I take ownership from architecture and data pipelines through implementation, evaluation, deployment, and iteration. I value clear scope, measurable outcomes, clean engineering practices, and honest communication about tradeoffs and limitations.

Response Time

Typically within 1 business day.

For active projects, I maintain regular communication and provide progress updates around agreed milestones or deliverables.

Project Preference

I’m best suited to projects involving:

- AI/LLM application development
- RAG and retrieval systems
- AI evaluation and benchmarking
- Python and Go backend services
- Production AI infrastructure
- Model/API integration
- Data pipelines and AI-powered products
- Taking an AI prototype toward a reliable production system