Location: Saint Paul, MN
Remote: Yes
Willing to relocate: Yes
Technologies: Python, TypeScript, GCP, MongoDB, Postgres, OCaml, Rust, LaTeX, misc dabbling
Résumé/CV: https://icalculated.github.io/quartz/2022-08Resume.pdf
Email: sasha.hydrie@gmail.com
GitHub: https://github.com/iCalculated
LinkedIn: https://www.linkedin.com/in/shydrie/
Undergrad at UMN with a strong math background looking for opportunities in machine learning. I am currently a full-time student but I’d be interested in taking a semester off to work in spring, potentially through summer.
I have practical experience with ML from competing in (and winning!) several hackathons this past year.[1] Most recently, my team won the education track at HackMIT with a VSCode extension that revises the user’s code with an LLM and explains the changes.[2] (We also pitched the idea to YC in their sponsor event and won an anytime interview so that’s cool.)
I am currently working through fast.ai and am taking several graduate-level courses on ML theory to solidify my fundamentals. Areas of interest are computer vision, reinforcement learning, and computer vision.
Feel free to reach out for anything, even just to chat.
[1]: projects can be seen here, don’t mind the goose theme: https://devpost.com/iCalculated
[2]: don’t expect anything cutting edge here, it was a 24-hour hackathon: https://spectacle.hackmit.org/project/118
