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 LLMs, reinforcement learning, multi-modal models, manifold learning, and evolutionary strategies.
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