Summary
Russell Jarvis is a software engineer and drone vision specialist with 11 years in STEM, blending six years of computational neuroscience research (PhD and postdoc) with recent hands-on work in aerial imagery, remote sensing, and cloud-based computer vision. He builds production pipelines and inference systems—ranging from Jetson Nano and CUDA-accelerated spiking neural network ports to Google Cloud orchestration for drone imagery—and has shipped a PyTorch-powered QGIS plugin for instance segmentation and automated geo-referenced spray planning. Comfortable switching between research-grade simulation (Julia/Numba/DASK) and operational ML tooling, he brings a rigorous scientific mindset to engineering problems and a keen interest in the ethical application of AI. Known for teaching and documentation, he designs inclusive technical tutorials and reproducible, unit-test-driven learning materials, and he actively cultivates healthy team culture and practical collaboration techniques.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Arizona State University
Startup central Victoria Pre-accelator
Land Use Planning and Management/Development, Land Use Planning and Management/Development at Nature Stewards
Student Engineering Fellowship Associate, Student Engineering Fellowship Associate at Startmate
Biomedical Engineering, Biomedical Engineering at Linköping University
Graduate Certificate in Artificial Inteligence, Computer Science, Graduate Certificate in Artificial Inteligence, Computer Science at La Trobe University