MSc Mathematics (NUS) + BEng Aerospace (NTU). Background across quant finance and data platforms. Comfortable with ambiguity and fast-paced environments.
Most recently: Rates Quant Research Intern at RBC (received return offer). Before that: owned the coal/iron ore data platform at Kpler, coordinating across engineering, data ops, and 50+ enterprise clients—drove platform expansion, scoped ML models with data science, managed ETL delivery.
Looking for: TPM, PM, Solutions Engineer, or FDE roles where I can sit at the intersection of technical and coordination work. I like being the conductor: scoping requirements, aligning stakeholders, driving projects end to end more than being siloed into pure implementation.
I love cs193p! Paul Hegarty is an incredible teacher. I did the course twice [1], first in 2020 as a programming noob who just threw everything into one file. His teaching of MVVM was my first introduction to proper software architecture. Then I went through it again last year as a refresher before building my first app and even on the second run, his lectures were fun to listen to.
Posted about this last month and good some good comments / feedback via email :)
I'm working on Teletable (https://teletable.app), a macOS app that shows live football & F1 standings/results with a teletext interface (think BBC Ceefax). It's free and on the appstore:
I'm working on Teletable (https://teletable.app), a macOS app that shows live football & F1 standings/results with a teletext interface (think BBC Ceefax). It's free and on the appstore:
decade streak is legit impressive. just hit 30 days of 5k myself. some might scoff at the number of 1mile days but dragging yourself out when you're busy or exhausted is rough.
my mum once bought "japanese rice" from the supermarket that tasted noticeably different (and worse). had to check the label, turns out it was made in Vietnam.
Remote: Open to remote, hybrid or on-site
Willing to relocate: Yes (H-1B1 eligible for US, HPI for UK, TTPS for HK - no petition required as Singaporean)
Technologies: Python, SQL, PyTorch, Pandas, NumPy, VBA, Swift, Haskell, Git, AWS
Résumé/CV: https://skruban.com/
Email: work@skruban.com
MSc Mathematics (NUS) + BEng Aerospace (NTU). Background across quant finance and data platforms. Comfortable with ambiguity and fast-paced environments.
Most recently: Rates Quant Research Intern at RBC (received return offer). Before that: owned the coal/iron ore data platform at Kpler, coordinating across engineering, data ops, and 50+ enterprise clients—drove platform expansion, scoped ML models with data science, managed ETL delivery.
Looking for: TPM, PM, Solutions Engineer, or FDE roles where I can sit at the intersection of technical and coordination work. I like being the conductor: scoping requirements, aligning stakeholders, driving projects end to end more than being siloed into pure implementation.
Side projects: Recently placed 2nd at Google Gemini Hackathon (https://github.com/sk-ruban/contour), published Mac app (https://teletable.app/), various ML/distributed computing projects.
LinkedIn: https://www.linkedin.com/in/skruban/
Github: https://github.com/sk-ruban/