Profile in action

Hello, I'm Ron,

Backend, data platform, compliance, and ML engineering across Kafka, Spring Boot, ClickHouse, Redis, Kubernetes, React, and PyTorch.

LinkedIn GitHub e1156664@u.nus.edu Singapore +65 9100 7628
Current signalSystems online

$ boot: portfolio.runtime

$ scope: backend | data | compliance | ml

$ signal: singapore

$ status: building reliable systems

1M+

Task instances served daily

40%

Manual review time reduced

30%

Latency or memory reductions

client: portfolioviewport: responsivestatus: static export
timezone: singaporeruntime: next.jsmode: light/dark
Ron Quah / NUS Computer Science / Google SWE Intern / Shopee Data Platform / Binance Global KYC / Kafka / ClickHouse / Spring Boot / PyTorch / Ron Quah / NUS Computer Science / Google SWE Intern / Shopee Data Platform / Binance Global KYC / Kafka / ClickHouse / Spring Boot / PyTorch /

About

Engineering instincts shaped by data platforms, compliance systems, and ML deployment.

Computer Science student at the National University of Singapore, building across backend infrastructure, data platforms, compliance workflows, and applied machine learning.

Recent work spans Kafka and ClickHouse log ingestion, Spring Boot microservices, Redis-backed fault tolerance, Kubernetes preview environments, React/Next.js frontends, and low-latency computer vision inference.

+Backend systems
+Data reliability
+Compliance automation
+Computer vision

Experience

Production-facing engineering across high-trust systems.

A compact timeline of internships and engineering roles.

Singapore

Incoming Software Engineer Intern

Google

May 2026 - August 2026

Software Engineering
  • Incoming internship focused on software engineering in Google's Singapore office.

Singapore

Backend Engineer Intern, Data Platform

Shopee

December 2025 - April 2026

SpringKafkaRedisGrafanaClickHouseKubernetes
  • Designed and implemented a distributed log storage pipeline with Kafka and ClickHouse ReplicatedMergeTree, using partitioning, sharding, and replication to ingest and serve logs for 1M+ task instances daily.
  • Improved data quality service reliability with Grafana monitoring and thread pool concurrency tuning, reducing memory usage by 30% under load.
  • Collaborated with SRE to architect Kubernetes namespace based preview environments with namespaced Kafka topics, S3 prefixes, Redis keys, and automated CI/CD teardown.

Singapore

Software Engineer Intern, Global KYC

Binance

May 2025 - November 2025

SpringMySQLKafkaRedisTestNG
  • Built a scalable Spring Boot microservice for multi-stage document verification, orchestrating OCR extraction and LLM-based compliance checks with RAG jurisdiction rules.
  • Generated explainable pass/fail previews and reduced manual compliance review time by 40%.
  • Engineered a Kafka fallback mechanism using Redis as temporary persistence during broker unavailability and ZooKeeper leader re-election.

Remote

Junior Developer

Reform DAO

November 2024 - May 2025

ReactExpress.jsTailwindJavaScriptTanStack QueryTanStack Table
  • Built full-stack airdrop features connecting React interfaces with Express.js APIs for peak usage of up to 3,000 users.
  • Architected data-driven dashboards with TanStack Query caching and TanStack Table presentation for responsive frontend data handling.

Singapore

Frontend Developer Intern

Classpoint

July 2024 - September 2024

ReactNext.jsTailwindJavaScript
  • Architected responsive React and Next.js interfaces with reusable component hierarchies and Tailwind-based design systems.
  • Delivered 10+ production pages in partnership with product and backend teams.
  • Reduced initial bundle pressure through dynamic imports, lazy loading, and code splitting.

Singapore

Machine Learning Engineer Intern

Digital Intelligence Service (DIS)

June 2022 - April 2023

PyTorchPythonDockerResNet50YOLOv5
  • Designed and implemented a real-time computer vision inference pipeline for operational military use.
  • Built and optimized CNN-based object detection models, achieving 80% target detection accuracy during live field exercises.
  • Reduced processing latency by 30% through inference pipeline restructuring, batching, and runtime tuning.

Projects

Selected systems from recent engineering work.

Key features architected and implemented in production.

Shopee Data Platform

Distributed Log Storage Pipeline

Kafka and ClickHouse ingestion system with ReplicatedMergeTree, partitioning, sharding, and replication for high-volume task logs.

Served logs for 1M+ task instances daily.

Binance Global KYC

KYC Document Verification Service

Spring Boot microservice coordinating OCR extraction, LLM compliance checks, and RAG-backed jurisdiction rules with explainable decisions.

Reduced manual compliance review time by 40%.

Shopee SRE collaboration

Ephemeral Preview Environments

Per-PR isolated deployments using Kubernetes namespaces and namespaced Kafka, S3, and Redis resources with CI/CD provisioning.

Improved development isolation and cleanup reliability.

Digital Intelligence Service

Real-Time Vision Inference Pipeline

Low-latency target detection workflow using CNN-based models, Dockerized deployment, batching, and runtime performance tuning.

Reached 80% detection accuracy and cut processing latency by 30%.

Skills

Technical stack with backend depth and product-surface range.

Languages

PythonJavaScriptJavaGolangTypeScriptHTML/CSSSQLMongoDB

Frameworks

ReactNext.jsSpring BootExpress.jsTensorFlowPyTorch

Data & Infra

Apache KafkaApache SparkRedisClickHouseGrafanaDocker

Cloud & Tools

GCPAWSFirebaseGitHubVS CodeJestTestNG

Systems Focus

MicroservicesCI/CDObservabilityFault toleranceComputer visionRAG workflows

Education

Computer Science foundation at NUS.

National University of Singapore

Bachelor of Computer Science

August 2023 - May 2027

Contact

Let's talk systems, internships, and engineering problems worth tightening.

Best reached by email.