Computer Science + Quantitative Finance student at NUS building secure, data-heavy software systems across financial services, applied AI, cloud workflows, and backend infrastructure.
- Financial-services software engineering, applied AI, and cloud-native data platforms
- AWS Solutions Architect Associate preparation
- Production-grade backend systems: testing, observability, security, and documentation
- Interview preparation across DSA, SQL, system design, and ML fundamentals
| Project | What it demonstrates | Stack |
|---|---|---|
| RevealID | Privacy-preserving credential wallet using SD-JWT, Ed25519 signatures, revocation, encrypted storage, and verifier flows | Next.js, Fastify, PostgreSQL, Prisma, TypeScript, Playwright |
| 2FAst | Cross-platform OTP desktop utility with Gmail/Outlook OAuth, local extraction, secure Electron IPC, and main-process token handling | Electron, React, TypeScript, Gmail API, Microsoft Graph |
| Furious5 | Real-time multiplayer backend with WebSockets, Redis-backed room state, reconnect recovery, mutation locking, and deployment health checks | React, Express, WebSockets, Redis, Docker |
| PLQuery | Natural-language SQL assistant with guarded query generation, SQL validation, SELECT-only enforcement, and schema-aware prompting | FastAPI, PostgreSQL, LangChain, OpenAI |
Languages: Python, Java, TypeScript, SQL
Backend/Data: FastAPI, Express.js, PostgreSQL, Redis, Prisma, Pandas, PyTorch
Cloud/DevOps: AWS S3, Glue, Step Functions, Bedrock, Docker, GitHub Actions
AI/Data: PyTorch, scikit-learn, tabular ML, RAG pipelines, LLM evaluation, document intelligence
Engineering practices: API design, CI/CD, test automation, audit logging, secure token handling, system documentation
- Technology Analyst Intern, PwC — cloud-native document intelligence, data integration, access migration, AWS, and governance workflows
- AI Engineer Intern, MathLogic — benchmarked tabular deep-learning models against XGBoost/CatBoost on credit-risk datasets
- Software Engineer Intern, MathLogic — built AWS geospatial preprocessing pipelines for large GeoTIFF files
- Software Engineer Intern, ContractKen — improved legal PDF processing and built contract term extraction workflows
Systems where correctness, security, and auditability matter: document intelligence, identity, risk workflows, backend infrastructure, and applied ML/data products.