Things I Work On
Most of my experience is in machine learning, but I also build web apps and have worked on embedded systems. Working in small teams has meant doing a fair bit outside my job title.
I’ve built a subtitling platform using Claude, Gemini, GPT, and Deepgram, with people reviewing the output. I also built an LLM assistant used by 200 students daily.
Mostly Django: automating manual work, integrating payments, and building internal tools. I also handle deployment and cloud infrastructure.
Computer vision, time series, and physics-informed neural networks. I’ve worked on battery life prediction, wildfire detection, and modelling airborne microplastics. Mostly in PyTorch.
I’ve built pipelines for satellite imagery and models for emissions and land classification, using tools like Rasterio, GeoPandas, Spark, and AWS.
At Lux Aerobot, I built the balloon gondola hardware and firmware, and got computer vision models running on NVIDIA Jetson. There was a fair bit of fieldwork too.















