Ruban

Ruban's Resume

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Work Authorisation

Singapore Citizen, eligible for H-1B1 US Visa, HPI UK Visa and the TTPS HK Visa with no petition required.

Education

National University of Singapore (NUS) Master of Science, Mathematics
08/2022 – 01/2025
  • Optimisation, Stochastic Analysis, Monte Carlo Methods, Game Theory, Operations Research, Machine Learning, Computational Math, Data Science in Finance, Distributed Computing.
Nanyang Technological University (NTU) Bachelor of Engineering, Aerospace Engineering
08/2015 – 01/2020

Projects

  • 1st Place, Google DeepMind × Cactus Compute Hackathon 2026 (Solo, 90 entrants): Optimised FunctionGemma on-device inference with custom query decomposition and confidence routing to Gemini Flash. 0.96 F1, 60% on-device.
  • 2nd Place, Google Gemini 3 Hackathon 2026 (Solo, 189 entrants): Contour — Full-stack app (FastAPI, Three.js, Gemini Live API) that converts 2D topo maps into flyable 3D terrain with voice tour guide. (5K+ likes)
  • Shipped:
    • Teletable: Published Mac menubar app serving live sports data (300+ users, Swift).
    • Notchi: MacBook notch tamagotchi for Claude Code sessions (WIP, Swift, Open Source).
    • OpenPPT: Model-agnostic LLM-powered slide generator (WIP, TypeScript, Open Source).
  • KeepIt (VisionOS Game, Swift), AlgoTrade (ML Stock Selection), BeamSolve (FEM Calculator), Housing Value Prediction (KRR/MPI), Air Pressure Prediction (Apache Spark), Polymarket Whales (Telegram, Polymarket API). More at skruban.com

Skills

  • Languages: Python, PostgreSQL, Swift, JavaScript, TypeScript, VBA, HTML/CSS, Haskell
  • Technologies: NumPy, Pandas, PyTorch, REST APIs, FastAPI, Git, Bash, Docker, CI/CD (GitHub Actions), AWS
  • AI/Agents: Claude Code, Codex, MCP, LangGraph
  • Finance: CFA Level I (2022), Bloomberg Terminal

Experience

Royal Bank of Canada Quantitative Research Intern
11/2024 – 05/2025
  • Embedded with 10 CAD/AUD/FX traders as primary technical liaison during live market hours, triaging issues across data feeds, Excel tooling, and performance bottlenecks to minimise trading disruptions.
  • Scoped requirements with AUD desk traders, built a VBA blotter system integrating Bloomberg API and proprietary data sources to track PnL and risk metrics, cutting calculation time by 50% while consolidating 20+ tabs to 12.
  • Researched cubic spline interpolation methods for interest rates curve construction, delivering technical presentation to APAC senior traders on tradeoffs between risk locality, pricing accuracy, and curve smoothness.
  • Received full-time offer to join APAC Interest Rates Quant team.
Kpler (Commodities Intelligence Startup) Market Data Analyst
08/2021 – 08/2023
  • Owned the coal, iron ore & metals data platform end-to-end for 50+ global clients: gathered requirements, prioritised backlog, wrote specs, and coordinated Engineering and Data Ops through full delivery lifecycle.
  • Diagnosed and resolved production data issues live on client calls, feeding insights back into backlog prioritisation and product improvements — the primary technical point of contact for client escalations.
  • Led platform expansion into new trading regions: engineered and deployed web scrapers and ETL pipelines (Python, REST APIs) capturing OCR bills of lading, port/customs API feeds, and broker data.
  • Partnered with Data Science team to scope and deliver Random Forest models for commodity prediction; curated training datasets that improved grade and volume prediction accuracy by over 20%.
  • Built automated Python validation system comparing Kpler data against third-party sources, eliminating 2 man-days of manual QA monthly.
Government of Singapore Investment Corporation (GIC) Project Management Trainee
10/2020 – 07/2021
  • Led assessment of AI, Blockchain, and RPA technologies to develop a 5-year tax technology roadmap; managed external consultants to deliver automated travel tracking system for global tax compliance.
Rolls-Royce Customer Management Intern
09/2017 – 02/2018
  • Managed the entry-into-service of RR Trent engines across 7 APAC airlines, coordinating multi-country stakeholders to streamline procurement pipelines for on-time delivery.