I build distributed systems, security tooling, and full-stack applications — from microservices architectures to AI-powered fraud detection. Currently studying at Singapore Institute of Technology.
I’m a Computing Science student at the Singapore Institute of Technology (joint degree with the University of Glasgow) with a strong interest in building secure and scalable systems. My work focuses on cloud-native development, CI/CD security automation, and distributed architectures.
I’m particularly drawn to DevSecOps and backend engineering, where automation, testing, and observability shape how systems evolve. From implementing static and dynamic analysis pipelines to developing containerized microservices and ML-powered fraud detection systems, I enjoy solving problems that require both architectural thinking and hands-on execution.
My experience as an SDET strengthened how I approach software quality — not just making features work, but ensuring they remain reliable, deployable, and resilient as systems grow
A cloud-distributed fraud detection system that analyzes Amazon product reviews to identify bot-generated and fraudulent content using pretrained BERT models. Built as 6 independent microservices communicating over gRPC, backed by Redis caching and MongoDB persistence — deployable via Docker Compose or Kubernetes.
A robust Java CLI system managing hospital operations end-to-end — patients, appointments, doctors, nurses, emergency dispatch, and medication. Built on a custom UI framework with abstract UiBase, Canvas renderer, and composable Views.
An automated engine that enforces organizational security policies across infrastructure and codebases. Evaluates security posture against defined rulesets, generates compliance reports, and integrates into CI/CD pipelines for automated security gating on every push.
A C# codebases that taps on Security Compliance Enginer to scans for security vulnerabilities, misconfigurations, and compliance violations. Produces structured security reports and integrates with GitLab CI pipelines for automated security gating on every commit.
A C-language Tic-Tac-Toe game with a GTK3 graphical interface, background audio, and an AI opponent using minimax and linear regression trained on the UCI dataset. Built to explore C programming on IoT edge computing and AI/ML landscapes.
A web-based flight search app built with Flask that lets users search flights, compare live prices, visualise routes on an interactive map, and analyse layovers. Integrates the Amadeus API for real-time pricing and redirects to Skyscanner for booking — powered by custom DSA sorting algorithms under the hood.
Open to internships, full-time roles, and interesting project collaborations. Always happy to chat!!
gerald.tanyx@gmail.com