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Background
I'm currently a Software Engineer at Goldman Sachs. I primarily build accessible & responsive frontend applications but am also adept and passionate in DevOps and Solution Architecture.

I have a deep appreciation for simplicity and minimalistic design. With a belief that products do not have to be extravagant; but simply functional and intuitive, my passion lies in crafting elegant solutions that provide seamless user experiences. As someone who appreciates growth, I'm always keen on learning and embracing new technologies.

When I'm not coding, I'm usually rock climbing or travelling the world. Feel free to reach out to me at leeshuoan38@gmail.com.
Experience
JUN 2024 - PRESENT
Software Engineer
Goldman Sachs • Global Investment Research
  • Maintaining and building the tools used by research analysts globally to write and publish research insights
  • Played a key role in migrating a legacy calculation engine service, built on Slang and SecDB, to Python-based AWS Lambda functions, ensuring improved scalability, maintainability, and performance
  • Streamlined DevOps workflows by structuring GitLab pipelines to generate and transform OpenAPI specification YAML files into Kong declarative configurations
  • Involved in diverse Java development tasks, including creating new services, resolving production bugs, and upgrading Spring versions using OpenRewrite to enhance code quality and maintainability
AWS
Java
React
Terraform
MAY 2023 - JUL 2023
Software Engineer Intern
Goldman Sachs • Global Investment Research
  • Led the development and production release of a search enhancement feature for the firm’s global investment research platform, improving user experience for both internal users and external clients
  • Attained 1st place in the 2-day internal intern hackathon. Built a platform for portfolio managers to receive equity recommendations and interest rate predictions from federal reserve speeches using OpenAI models
AWS
Java
React
Terraform
AUG 2022 - SEP 2022
Research Assistant
Singapore Management University
  • Scaled Machine Learning training and inference for large-scale Android malware detection using a distributed ML cluster (Ray.io) on public clouds (AWS) under professors Don TA and Shar Lwin Khin
AWS
Python
MAY 2022 - AUG 2022
Credit Risk Analyst Intern
OCBC Bank • Risk Portfolio Management
  • Developed dashboards to facilitate the back testing of Basel Internal Ratings Based credit risk models, enabling tracking and evaluation of model performance
Python
SQL
SAS
Education
2020-2024
Singapore Management University
Bachelor's of Science (BSc) Information Systems
Majoring in Digitalization & Cloud Solutions and Business Analytics

Grade: Magna Cum Laude

  • SCIS Dean's List AY2021/22
  • Huawei ICT Competition 2024 (AI Innovation) | APAC Regional Finalists, 3rd place
  • Ninjavan Code Dojo 2023 | Most Feasible Hack
  • Carro x AWS Hackathon 2022 | 8th place
AUG 2023 - DEC 2023
Sungkyunkwan University
International Student Exchange Programme
Majoring in Data Science

Grade: 4.00/4.50