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/