About Me

Hi 👋 I'm Minseo, a software engineer at DBS Bank in Singapore, where I joined Wealth Management Technology as a Management Associate. I graduated from Nanyang Technological University (NTU) in 2026 with a degree in Chemical and Biomolecular Engineering.

The CN Yang Scholars' Programme at NTU let me explore interests outside my degree, including research attachments in deep learning and neural networks. That's where I found my way into software development.

Before DBS, I interned as a software engineer at GovTech and U-Reg, and I keep building personal projects on the side. I'm especially interested in how software products can meet real needs, which also draws me to entrepreneurship. I write about what I build and learn in my articles.

Experiences

DBS Bank

Software Engineer (Management Associate)

DBS Bank · Jul 2026–Present
  • Wealth Management Technology
GovTech

Software Engineering Intern

GovTech · Jan 2026–May 2026
  • Built an end-to-end A/B Testing feature for SearchSG, GovTech's government search portal, spanning React frontend, backend APIs, integration testing, and AWS Lambda background jobs.
  • Automated the A/B test notification lifecycle via 3 AWS Lambda scheduled jobs, sending milestone emails and triggering automatic banner reversion at test completion.
  • Eliminated component duplication across a 5-step A/B test creation flow by extracting shared React components, improving maintainability and accelerating future feature development.
U-Reg

Software Engineering Intern

U-Reg · Jul 2025–Dec 2025
  • Led development of Source-of-Wealth investigations, integrating AI features with robust error handling, edit tracking, and in-app notifications to improve reliability and user experience.
  • Designed and implemented the database schema and JSONB structures supporting AI data responses, including read/write operations for nested fields.
  • Improved investigation editing experience by building form validation flows, custom error messaging, and dynamic rendering of deeply nested JSON structures.
SAF

Sergeant (NSF)

SAF · Jul 2023–Jul 2025
  • Maintained and enhanced three separate Telegram bots, each serving a batch of approximately 400 recruits per intake across eight intakes in a year, improving efficiency in information retrieval and verification through digitisation.
  • Ensured data cleaniness and organisation of recruits' information using Microsoft Excel Macros.
Air Liquide

Assistant Engineer, Data Analytics (Intern)

Air Liquide · Jan 2023–Jun 2023
  • Revamped Power BI dashboard data queries with SQL and automated data export into Google Sheets through gateway connections and Google Apps Script, saving thousands of costs in man-hours by eliminating need for daily manual entry.
  • Successfully identified noisy time-series data through Hilbert-Huang Transform, bringing huge potential in quantification of underlying noise level in data which was previously only possible with visual inspection.
  • Spearheaded data reduction project by suggesting new algorithm and brought about more than 95% compression in process data while maintaining fidelity score of at least 90%.
  • Implemented predictive maintenance analyses through statistical process control for various process parameters, resulting in significant early detection of unusual events by five days.
  • Refined how statistical process control (SPC) was implemented for cyclic processes through rigorous data analysis, leading to successful detection of transmitter issues for early rectification.
El Pando

Software Development Intern

El Pando · May 2022–Jul 2022
  • Designed the Front-end of the new company website with added interactivity and responsive design, utilising skills such as jQuery and Bootstrap 5.
  • Handled ASP.NET Code-behind approach, which was implemented by the company for their customized software services for different clients.
Nanyang Technological University

Research Intern (AI for Soundscapes) @ Digital Signal Processing Laboratory

Nanyang Technological University · Jan 2022–May 2022
  • AI For Soundscapes - Developed a probabilistic neural network, incorporating a bivariate normal distribution loss function to predict the associated perceptual of soundscapes.

Education

Nanyang Technological University

Nanyang Technological University

B. Eng. (Chemical and Biomolecular Engineering) · Aug 2020–Jul 2026CGPA: 4.69 (Honours with Highest Distinction)
  • CN Yang Scholar
  • AY20/21 Dean's List Recipient
Victoria Junior College

Victoria Junior College

GCE 'A' Levels (Science) · Jan 2018–Dec 201988.75 Rank Points
  • H3 Chemistry (Distinction)