About Me

I'm a backend software engineer building distributed systems and authentication infrastructure for high-compliance, national-scale government platforms — and, increasingly, the AI-assisted tooling that helps engineering teams move faster inside large, constraint-heavy codebases.

I work mostly in C# and .NET, with Go, Python, and whatever the data pipeline of the week calls for. When I'm not at a keyboard, you'll find me on a badminton court or chasing a good cup of coffee.

Education and Certifications

Selected Impact

A few of the harder problems I've shipped solutions for. Client and agency names are withheld under my employer's confidentiality terms — happy to walk through specifics in an interview.

Experience

Backend Software Development Engineer

The Software Practice • Jun 2023 - Now

Building and operating distributed internet and intranet applications for public-sector clients, from initial architecture through direct UAT with end-users.

• Develop and maintain 2 large-scale distributed C#/.NET web applications for a national licensing and routing platform, serving 10M+ records.
• Lead rapid-iteration development cycles with direct UAT presentations to end-users across major projects, incorporating daily feedback to keep delivery aligned with business requirements.
• Overhauled a pattern-similarity matching feature to handle 100x normal load — now supporting up to 10M devices — shipped in under 7 days through AI-assisted development.
• Architected the authentication gateway and EF Core/ETL work described in Selected Impact above, plus a solo-built pipeline migrating 2M+ records across 1,000 tables.
• Kept $100k+ in monthly Stripe and GIRO transactions running smoothly, including Workday integration for the finance component.
• Resolved 500+ critical production tickets in 7 months through targeted root-cause patches and monitoring improvements.

Intern – Shopee SRE, Traffic & Techops

Shopee SG • May 2022 - Nov 2022

A multi-disciplinary internship spanning DevOps and backend development.

• Engineered a company-wide web announcement platform (Golang + Gin), enabling real-time communication for 500+ employees and improving internal awareness by 40%.
• Instrumented Shopee's traffic infrastructure with Prometheus metrics, building Grafana dashboards and alerting pipelines for 24/7 SLO monitoring — maintaining 95% reliability targets across Shopee's traffic layer.
• Reduced infrastructure attack surface by automating discovery and decommissioning of 1,000+ non-Shopee-maintained domains, subdomains, and proxies via Bash scripting.

Intern – Software Engineer, Emerald Team

Thales SG • Jan 2022 - May 2022

Worked on a team that develops and maintains critical government services.

• Developed a logging service (Elasticsearch, Fluent Bit, Kubernetes) for a k8s cluster – 50% faster debugging.
• Built real-time message-queue integrations (Kafka, IBM MQ, MQTT) for a multi-client-syncing web app.
• Awarded best intern for the spring period.

Skills & Tech Stack

Projects

A few things I've built outside of work.

A digital stamp-card loyalty program for Goodness Dear's retail stores across Indonesia and Singapore: a customer-facing stamp card and an admin dashboard to search customers, add/redeem stamps, and track rewards. Originally built as a Flutter + Firebase mobile app; later rewrote it on Astro + Supabase as a single SSR web app deployed to both markets, backed by one Postgres schema with row-level security.

goodnessdear.com

A shared household tracker for what's in the fridge, freezer, and pantry — logs item name, quantity, best-before date, and storage type, with a photo per item and an AI-assisted quick-log flow (snap a photo, it fills in the rest). Filterable by owner, freezer-only, and shared-only, with an "age" readout per item so nothing quietly expires in the back of the freezer unnoticed.

A clone of Just Dance that works by detecting player's movements using hardware-accelerated ML models. A screen displays any of 12 unique dance moves to be performed along with the relative position of the players, then the detector will forward the dance data for verification in the game logic.

Three languages: Python for the game logic, C++ for the detector, and JavaScript for the frontend.

My first Svelte project. For those of you Jane Street Puzzle solvers, you should have remembered this puzzle, I created a puzzle solver helper for it: altered-states-2.vercel.app!

A small project to keep track of the laundry schedule and make it separate from your fully packed calendar! house-laundry.vercel.app

Our solution is an IoT system that consists of sensors to track the spinal position using acceleration data, a gateway to forward the data to the server, a server to make predictions based on the data, buzzers to provide physical feedback to the user, and a web application to display relevant information to the user. The system is able to classify the user's posture via a LSTM, alert the user when they are in a bad posture for some time using the buzzers, and recommend relevant videos to the user through the web application.