About me
I'm Yin Joe Ng (黄胤茁), a Quantitative Technology Analyst at Qube Research & Technologies (QRT).
I build trading systems, data pipelines, and analytics tools. My experience spans commodities, cryptocurrency trading, financial technology, and software for community organisations.
Education
National University of Singapore (NUS)
Bachelor of Computing in Computer Science · First Class Honours (Highest Distinction)
Aug 2022 – Dec 2026
- Focus areas: Parallel Computing, Database Systems
- Awards: NUS ASEAN Undergraduate Scholarship; Alibaba Global E-commerce Challenge 2024 — Top 10; SAP Student Ambassador
- Teaching Assistant: CS2030S (Programming Methodology in Java), CP2106 (Software Development), CS1 (Data Structures and Algorithms in C++)
- Notable courses: CS3281 (OSS Project in Java); CP4101 (FYP on statistics-based bitemporal database optimizer with Morgan Stanley)
Projects
Project Sa'bai
Technical Lead · Jan 2023 – Jan 2024
- Headed a team of 12 software engineers in close collaboration with medical professionals to build a patient management system with Next.js, Django, and PostgreSQL, serving a user base of over 2,000 patients in Cambodia
- Architected a face recognition system with AWS Lambda, DynamoDB, S3, and Rekognition which reduced registration time by 80%
Source Academy
Software Engineer · Jan 2023 – May 2023
- Collaborated with a professor in the CP3108A (Independent Work) course to customize the open-source JSCAD library and develop a hierarchical grouping system for 3D shapes in TypeScript, enhancing modeling efficiency by over 20%
Skills and languages
Programming Languages
Python, SQL, C++, KDB+/q, Matlab, Java, C#, TypeScript, JavaScript, Golang, Swift, Ruby
Tools
Unix, Docker, Kubernetes, AWS, PostgreSQL, MySQL, MongoDB, Kafka, Redis, Spark, React, Redux, Git, Spring, .NET, REST, RPC, GraphQL, Excel
Languages
English (Native/Bilingual), Chinese (Native/Bilingual), Malay/Indonesian (Professional)