Alex Wurts

Engineering at Coworker.ai

Building AI-powered products that transform how work is done

About Me

Alex Wurts

I'm a software engineer with a passion for building products that make a real impact. With a background in Computer Science and Data Science from Worcester Polytechnic Institute, I've worked across the full stack—from deep learning models to mobile apps to scalable backend systems.

Currently, I'm helping build the future of AI-powered productivity tools at Coworker.ai. Previously, I led mobile development at The Routing Company, scaling transit apps from zero to 100k+ trips.

Outside of coding, I'm a licensed private pilot who trained at Hanscom Airport. I believe the best engineers are also lifelong learners, and I try to share what I learn through articles and tutorials.

Articles & Research

Experience

Apps Tech Lead

The Routing Company (formerly Routable AI)
Mar 2020 - Jul 2022 Boston, MA
  • Founding team member that started and led a team of 6 engineers to build driver and rider apps from scratch
  • Scaled apps to 1k daily users and serviced 100,000+ trips
  • Worked in a fast-paced sprint team environment across the entire stack
  • Designed and developed significant portions of the company's backend codebase, connecting them to the dashboard and mobile applications
Kubernetes Docker Go Flutter React

Senior Thesis Intern

MIT Lincoln Laboratory & WPI
Aug 2019 - Oct 2019 Lexington, MA
  • Developed a Deep Learning solution to segment and quantify tau proteins in brain scans for Alzheimer's research
  • Built using the SegNet Convolutional Neural Network architecture
  • Wrote parallelized code on MIT supercomputer to process 10 billion pixel brain scans in under 30 minutes
Python PyTorch CNNs Slurm

Deep Learning Intern

MIT Lincoln Laboratory
May 2019 - Aug 2019 Lexington, MA
  • Implemented state-of-art deep neural networks for person re-identification in camera surveillance systems
  • Developed innovative image labeling application that reduced dataset labeling time by 5x
  • Final model reduced classification time by 2x over non-neural network approach
Python PyTorch Pandas Sklearn

Software Engineer Intern

Olympus
Jun 2018 - Aug 2018 Waltham, MA
  • Designed and developed a website to visualize metrics produced by company products
  • Implemented notification system for preventative maintenance alerts
  • Created a REST API backend for portable cross-platform solutions
React Node MongoDB Azure