background

i started building in 2018. since then i’ve shipped 63 projects, most in ai and machine learning, some in web apps and robotics, a few just because they seemed interesting. i’ve worked as a lead ai engineer for 3 years.

three things hold my attention. ai, energy, and real world ai. ai is the obvious one. energy is less obvious, but the binding constraint on ai stopped being clever algorithms a while ago and became power, compute, and heat. real world ai is where those two meet. most models still live in a browser tab. the problems i find interesting are the ones that don’t. robotics, firmware, physical systems that have to work on the first try, because in the real world you can’t just retry the request.

on the side, i build my own products.

• verity, an api and ui for medicare coverage data.
• rebar, production software that finds, diagnoses, and fixes its own breakage.
• faraday, the operating system for electrical subcontractors, plans to payment.

i don’t specialize in one narrow thing. i build end to end, from training models to deploying them, from writing firmware for robotic dogs to building the web apps that control them. the projects reflect this.

what i write about

my blog covers technical deep dives on projects i’ve built. if i write about attention mechanisms, i’m showing the math. if i write about deployment, i’m showing the code.

i also run applied tensors on youtube where i break down ai concepts and build things live.

get in touch

working on something in ai, energy, or robotics? i’m interested. tylergibbs048@gmail.com

resume for the formal version. books i’m reading if you’re curious what’s on my desk.

links

• applied tensors, ai deep dives and builds
• ares, unfiltered thoughts on tech