Singapore · Computer Science & Economics

Turning messy data and hard algorithms into products people can use.

Penultimate-year student at Nanyang Technological University on an ASEAN Undergraduate Scholarship, reading Computer Science and Economics with a minor in Mathematics. I have optimised satellite tasking by 36×, mapped submarine cables from 2 TB of maritime data, and worked on product and market strategy inside a New York health-tech startup.

Quantitative finance Optimisation & algorithms Machine learning Data engineering Product

Experience

FreeHealth.ai — New York, USA

Internship · product, market and data work
2026
  • Worked on market sequencing for a consumer health app serving three distinct audiences — individuals, doctors and pharmacies.
  • Contributed to privacy-first product design: limited data sharing inside the social layer, strict account isolation, and full data deletion.
  • Analysed distribution through channel partners and what that implies for trust, consent and local data rules in health-tech.

ST Engineering Geo-Insight — Singapore

Data Analysis & Algorithm Optimization Intern
May 2025 – Jul 2025
  • Built satellite tracking workflows with SGP4 and Orekit (Java) over 20–50 TLEs, computing AOI visibility schedules to ±10 s accuracy via ECEF–WGS84 transforms.
  • Cut satellite tasking runtime from ~18 minutes to 30 seconds (36×) with Greedy AOI assignment and Dijkstra routing; simulated SAR field-of-view access for 200+ AOIs using Skyfield and Cartopy.
  • Processed 2 TB+ of AIS data with pandas and Folium, lifting submarine-cable mapping resolution from 50 to 5,000 points through chunked processing and geographic filtering.
  • Built a C++ OpenCV pipeline combining ORB, Farneback optical flow and YOLO, raising moving-object detection precision from 85% to 96% with sub-second frames.

NTU Students' Computing & Data Science Club

Publicity & Publication Executive
Sep 2024 – Present
  • Led content, social strategy and visual design, growing online engagement by 40%.

Astronomy Olympiad Camp — Thailand

Teaching Assistant
2023
  • Lectured and ran practice sessions for 30+ national team trainees, improving mock-exam performance by 15%.

Selected projects

TikTok TechJam 2025 · Finalist, Top 12

Tokbokki

Interactive dependency-graph analyser for Kotlin codebases with GitHub OAuth, cycle and heavy-node detection, and AI refactoring suggestions.

Next.jsReact FlowDagre
NTU Port 63 Hackathon · 3rd place

Paw Patrol

Predictive policing and patrol-optimisation system with live heatmaps and routing, projecting a 40% reduction in crime and 35% faster response.

DjangoTensorFlowRouting
CAmPcode × ST Engineering · 2nd runner-up

HealthLib

Healthcare management platform with a PyTorch time-estimation model trained by federated learning, so patient data never leaves the device.

ReactPyTorchFederated learning
Side project

Real-v-Fake

Community-driven fake-product detector for e-commerce listings, built on a FastAPI backend with Supabase auth and Hugging Face models.

FastAPISupabaseHugging Face
Regeneron ISEF 2022 · USAID Special Award

Sawasdee-AMP

Portable point-of-care RNA/DNA test kit: isothermal amplification in a device designed for clinics without a laboratory.

HardwareMolecular biology
FPGA & RTL

Packet-processing pipeline

Designed, verified and optimised an FPGA packet pipeline across C++ simulation harnesses, Verilog RTL, Hardcaml and cocotb testbenches.

VerilogHardcamlcocotb

Education

Nanyang Technological University — Singapore

BSc Computer Science & Economics, Double Degree · Minor in Mathematics
Aug 2023 – May 2027
  • ASEAN Undergraduate Scholarship
  • Mathematics minor: probability & statistics, calculus III, linear algebra, stochastic processes
  • Coursework: algorithm design, object-oriented design, software engineering, operating systems, computer networks, machine learning, artificial intelligence, game theory, econometrics

University College London — Summer programme

Data-driven web applications · Data science & big data analytics
Jun 2024 – Aug 2024

Awards & honours

Toolkit

C++PythonJava JavaScriptSQLR VerilogPyTorchTensorFlow PandasNumPyOpenCV ReactNext.jsFastAPI DjangoLinuxGit Monte CarloReinforcement learningMarkov chains

Contact

Open to summer 2026 internships and research work in quantitative finance, data engineering and applied ML. The fastest way to reach me is email.