How I work

I don’t just implement solutions; I enable your team to carry them forward. Alongside the code, I teach the methods underneath it, so your team understands the system well enough to run it, question it, and keep building on it. The result is a working approach your team owns.

Where I’m strongest

• Applied AI. Designing and shipping ML and generative systems for problems that don’t fit off-the-shelf tooling, including real-time inference, reinforcement learning, and small LLMs running under tight latency and compute budgets.
• Scientific computing. Numerical methods, simulation, and large-scale compute on heterogeneous hardware (CPU and GPU).
• Research engineering. Taking a paper, prototype, or internal research effort and producing a validated, well-engineered implementation.
• Algorithm design. Graph-theoretic, combinatorial, and partition-based algorithms, with computational backing where it matters.

Availability

Currently available for a small number of new engagements when there’s a good fit. If your problem sounds like something I might help with, please reach out.

Contact

Email: david@lixel.io