π» Full-Stack & Platform Engineer | Distributed Systems | AI/ML
I'm a software engineer with 3+ years of experience building scalable distributed systems, backend services, internal platforms, and full-stack applications. My professional experience includes Kafka platform engineering, cloud migration, infrastructure automation, and developer-facing applications at PayPal.
I'm currently pursuing a Master of Computing in Artificial Intelligence at the National University of Singapore (NUS), building on my background in software engineering and AI/ML.
I'm particularly interested in AI/ML engineering, distributed systems, platform engineering, and building practical AI-powered systems.
- π Master of Computing in Artificial Intelligence β National University of Singapore
- πΌ 3+ years of software engineering experience at PayPal
- β‘ Experience with Kafka, distributed systems, backend engineering, cloud migration, and infrastructure automation
- π Full-stack experience with React, React Native, TypeScript, Java, and Spring Boot
- π€ Academic and research experience in AI/ML and computer vision
- π IEEE-published researcher
Published at the 2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS), IEEE.
The research explores real-time vehicle detection, tracking, counting, and speed estimation using YOLOv8 and computer vision techniques.
I have contributed to Apache Kafka through bug fixes, improvements, and operational tooling.
View my Kafka contributions β
Languages
Java Python C++ JavaScript TypeScript
Backend & Distributed Systems
Spring Boot Kafka REST APIs Node.js
Frontend
React React Native TypeScript
Databases
MySQL PostgreSQL
Infrastructure
Ansible Linux Git
AI/ML
Machine Learning Computer Vision YOLOv8 Deep Learning
Currently exploring the intersection of AI/ML, distributed systems, and software engineering as part of my Master's in Artificial Intelligence at NUS.
More projects coming soon.
Building scalable systems, exploring AI, and turning ideas into working software.