Marcus Peh

Hello I'm

MARCUS PEH

Performance-driven Software Engineer with expertise in backend engineering, Agile methodologies, and optimization, delivering impactful solutions and high-quality results under tight deadlines.

About

Let me introduce myself

I'm Marcus Peh, a Computer Science (Honors) graduate from the National University of Singapore, passionate about software engineering and crafting solutions to real-world challenges.

I thrive on solving complex problems and optimizing systems, as demonstrated by enhancing API performance by 200x during an internship. With a focus on developing high-performance, user-centric applications, I am committed to leveraging technology to create meaningful impact globally.

As I grow in my career, I look forward to tackling new challenges and pushing the boundaries of what software can achieve.

I'm Marcus Peh, a Computer Science (Honors) graduate from the National University of Singapore. Passionate about software engineering, I specialize in developing high-performance applications and optimizing systems to solve real-world challenges.

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Skills

Here are some technologies I've worked with

Experience

Explore my professional journey and achievements

TikTok
Backend Software Engineer (TikTok Live)
Apr 2024 - Present
Reduced metric monitoring time from 3 PD to 0 PD by unifying data platform systems
Created >10 real-time indicators to enhance management of LIVE creators, improving UV of new creators by more than 40%
Refined workflows for data metrics by streamlining search functionality
Bytedance
Software Engineering Intern (Global Payments)
Aug 2023 - Dec 2023
Enhanced approval process efficiency by integrating in-house solution
Contributed to channel platform with monthly transactions exceeding USD $7.5 billion
Improved performance of channels rating API by over 90% through effective optimization strategies
Google
Software Engineering Intern (Google Pay)
May 2023 - Aug 2023
Optimized QR code loading time by 93.5% (from 1.38s to 0.09s) through elimination of RPC calls
Lowered proximity verification range by 99.5% from 2km to 10m by leveraging Bluetooth Low Energy
Ranked among top 10 teams in a Google internal AI hackathon
Government Technology Agency
Software Engineering Intern (CrowdTaskSG)
May 2022 - Jul 2022, Dec 2023 - Jan 2023
Reduced loading time of web page by 10% by removing unnecessary API calls
Improved security by implementing Two-Factor Authentication (2FA)
Increased server query response time under load by 200x through API restructuring
Reluvate Technogies
Software Engineering Intern
Nov 2021 - Jan 2022
Established end to end web applications to house AI and Automation solutions
Created backend APIs for a multi-national real-estate company
Constructed Optical Character Recognition (OCR) to process pdf with more than 95% accuracy

TikTok
Backend Software Engineer (TikTok Live)
Apr 2024 - Present
Reduced metric monitoring time from 3 PD to 0 PD by unifying data platform systems
Created >10 real-time indicators to enhance management of LIVE creators, improving UV of new creators by more than 40%
Refined workflows for data metrics by streamlining search functionality
Bytedance
Software Engineering Intern (Global Payments)
Aug 2023 - Dec 2023
Enhanced approval process efficiency by integrating in-house solution
Contributed to channel platform with monthly transactions exceeding USD $7.5 billion
Improved performance of channels rating API by over 90% through effective optimization strategies
Google
Software Engineering Intern (Google Pay)
May 2023 - Aug 2023
Optimized QR code loading time by 93.5% (from 1.38s to 0.09s) through elimination of RPC calls
Lowered proximity verification range by 99.5% from 2km to 10m by leveraging Bluetooth Low Energy
Ranked among top 10 teams in a Google internal AI hackathon
Government Technology Agency
Software Engineering Intern (CrowdTaskSG)
May 2022 - Jul 2022, Dec 2023 - Jan 2023
Reduced loading time of web page by 10% by removing unnecessary API calls
Improved security by implementing Two-Factor Authentication (2FA)
Increased server query response time under load by 200x through API restructuring
Reluvate Technogies
Software Engineering Intern
Nov 2021 - Jan 2022
Established end to end web applications to house AI and Automation solutions
Created backend APIs for a multi-national real-estate company
Constructed Optical Character Recognition (OCR) to process pdf with more than 95% accuracy

Projects

Explore some of my awesome projects

Around the World in $80

Java

JavaFX

Splitting bills while traveling can be a hassle, often leaving one person to handle payments and the tedious task of dividing costs later. Our app simplifies this process by seamlessly splitting expenses among group members.

Points Of Sales System

MongoDB

ReactJs

NodeJs

Designed to serve both businesses and consumers, this solution features an online web system for managing sales and inventory, complemented by a Telegram bot that lets users check store stock effortlessly.

Splitlux

Flutter

Django

React Native

Built with Flutter and Django, Splitlux targets travelers as borders reopen post-pandemic. It streamlines the process of splitting and tracking bills, making travel expenses more efficient and hassle-free.

MediClear

NextJs

TypeScript

Chakra UI

Designed to simplify health checkup reports, MediClear is an easy-to-use platform that offers clear, contextualized test results. It also provides personalized lifestyle management tips to help users improve their well-being.

To Do Manager

ReactJs

NextJs

Postgres

This to-do manager is built with separate backend and frontend components for scalability. The backend provides APIs for the frontend, with sensitive data like passwords encrypted before transmission and hashed before storage for security.

Gardner Mini Chess AI

Python

Implemented to solve Gardner's Mini Chess, this AI uses Alpha-Beta Pruning with a maximum depth of 4 to balance response time and performance. It achieves a 100% win/draw rate against other intelligent agents.

View More on GitHub

Get In Touch

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Name

Message

Location

Singapore

hkmpeh@gmail.com