About Me
From raw data to models that ship
Five years of machine learning on a system that moves eleven thousand tons. Deep reinforcement-learning driving policies that went onto a national freight fleet. Detection models fusing stereo camera and LiDAR. The AWS pipelines, dashboards, and monitoring underneath all of it, because a model nobody is watching is a model nobody can trust.
The interesting part is after the notebook. Validating against real measurements, shipping it, watching it drift, and explaining the result to the person who has to act on it at 2am. I'm looking at Machine Learning Engineer, Data Scientist, and Perception Engineer roles.
What I bring
- End-to-end ML: modeling → calibration → AWS production pipelines
- Deep learning & reinforcement learning for real-world control
- Sensor fusion & perception (camera, LiDAR, IMU)
- Data engineering at scale (ETL, GIS, multiprocessing)
- Client-facing analytics & executive reporting
- Mentorship and cross-team technical leadership
Career Path
Experience
Selected Work
Projects
Ordered by how close they sit to the modelling and data work I want to keep doing — not by date. Most of this ran in production on a national freight fleet; where something is simulation-only, the write-up says so. Click any card for the full case study.
Always Learning
Certificates
This list grows over time — new certificates get added here automatically as I add them.
Toolbox
Skills
Let's Talk
Hiring, collaborating, or just have a question?
I'm actively open to Machine Learning Engineer, Perception Engineer, and Data Scientist roles — reach out any way that's easiest for you.