Jared Violo

About Me

Hey, my name's Jared. A little bit about me... I'm 26 years old and from a small town in Ontario, Canada. I love e-sports, programming, studying human cognition, and my cats. Whatever reason you stumbled here, I hope you find what you're looking for. I hope you're happy, sending lots of love.

Scroll for more

Hobbies

Experience

Fractal Tech logo

Software Engineer

Fractal Tech
Sep 2025 – Present
  • 400+ hours building full-stack AI-driven applications
  • Mentored by world-class engineers at the forefront of AI
TypeScriptReactPythonAI/MLViteDrizzle ORMPostgresSupabaseVercel
Waive logo

Founding Engineer

Waive
Sep 2023 – Present
  • Overall, I've taken on a wide range of responsibilities at Waive — systems design, company operations, backend infrastructure, product development, hiring, hotfixes, and more.
  • My most successful project is the document triaging system for Accuro (one of the most popular EMRs in Canada). It's currently deployed in 40+ clinics and is in the process of a 70+ location rollout with a major healthcare organization (name confidential for now, but it's big). All clinics should be deployed by the end of the year.
  • After building the core infrastructure, I led major portions of the onboarding pipeline and clinic integration efforts.
  • I've also worked extensively on the Task Manager product for Accuro, building out several key features — most notably the Intelligent Appointment Booking solution.
  • Created the backend API for Patient Reminders.
  • Hired and managed two interns for four months, resulting in several successful projects.
  • There's a lot more I'd love to mention here, but much of it is still under development or confidential.
  • I've had a lot of fun working here — it's meaningful work with amazing people.
PythonFastAPIFirebaseAzureGoogle CloudTwilioDocker
NonFungible logo

Data Engineer

NonFungible
Apr 2021 – Sep 2021
  • Worked on a 4-month full-time contract focused on automating NFT portfolio evaluations for clients.
  • Automated evaluations for NBA Top Shot cards and ENS domains, significantly reducing evaluation time with much better accuracy.
  • At the time, NBA Top Shot cards were extremely popular, and manual evaluations could take up to a week. These portfolios were often valued between $10–30M, with ~1% profit margins per valuation on a quarterly basis—making automation a high-impact goal.
  • Reduced evaluation time from several days to just a few hours, which had major dividends for the company. I wanted to continue automating other evaluation pipelines and was offered full-time, but had to return to school at the end of the contract.
MATLABPythonData AnalysisKibanaElasticsearch