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/
I have practical experience with ML from competing in 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
Many of my colleagues and fellow interns were skilled programmers, but very few—if any—inherently possessed something that you or I don't have. The intern class was primarily composed of individuals with a curiosity for technology and circumstances that enabled their exploration.
I recognize the ease of feeling dissatisfied with one's own achievements; I doubt that receiving an offer from Jane Street for you or gaining admission into a elite school for myself would quell our insecurities. You've accomplished a lot, though I don't know how to help you recognize that.