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# Matthew Oh

**Headline:** Computer Science Student at Rensselaer Polytechnic Institute
**Profession:** Software Engineer Intern
**Location:** Greater Boston

## About

Matthew Oh is a Computer Science student at Rensselaer Polytechnic Institute and a current Software Engineer Intern at Product Manager Accelerator. He focuses on logical backend problem-solving, structured coding, and building systems that support applications reliably. Matthew’s strengths include Python, SQL, C++, API development, LLM API integration, and prompt engineering, and he is open to backend work spanning APIs, systems, operations, scaling, and pure logic across different technology stacks. At Product Manager Accelerator, Matthew serves as the primary back-end engineer on an Agile team, designing and implementing Django RESTful APIs for a real-time chat application. He also created a Python automation script for his school’s Discord channel that uses OpenAI’s ChatGPT to embed messages and generate context-aware responses to questions. His project work includes a chess AI backend that handles piece movement, board updates, and ChatGPT API integration, including validation of AI-generated moves and structured prompting designed to improve reliability while accounting for token constraints. Matthew also has experience as an Associate at MARSHALLS LLC.

## Services

- Python
- MATLAB
- Microsoft Excel
- MySQL
- PHP
- Java
- JavaScript
- Git
- C \(Programming Language\)
- C++
- Python \(Programming Language\)

## Highlights

- Serves as the primary back-end engineer for an Agile team at Product Manager Accelerator, designing and implementing Django RESTful APIs for a real-time chat application.
- Developed a Python script that automates message generation in a school Discord channel using OpenAI’s ChatGPT to embed messages and provide context-aware responses to questions.
- Built a chess AI backend that handles piece movement, board updates, and ChatGPT API integration.
- Applied structured prompting and validation strategies to improve the reliability of AI-generated chess moves while accounting for token constraints.
- Adapted the chess AI backend to address illegal AI moves and maintain accurate board states.
- Brings experience with Python, SQL, C++, Java, JavaScript, PHP, MySQL, MATLAB, Microsoft Excel, Git, and C.
- Has experience integrating LLM APIs and using prompt engineering to solve technical problems.
- Pursuing a Bachelor of Science in Computer Science at Rensselaer Polytechnic Institute.
- Previously worked as an Associate at MARSHALLS LLC.

## Experience

- **Software Engineer Intern at Product Manager Accelerator** (2024-09-01–present) — \- Served as the primary back-end engineer in an Agile development team, designing and implementing Django RESTful APIs to support a real-time chat application - Developed a Python script to automate message generation in the school’s Discord channel, leveraging OpenAI’s ChatGPT to embed messages and provide intelligent, context-aware responses to questions
- **Associate at MARSHALLS LLC** (2020-10-01–2021-06-01)

## Education

- Bachelor of Science - BS, Computer Science — Rensselaer Polytechnic Institute (2021-01-01–2025-01-01)
- High School Diploma — Westford Academy (2017-01-01–2021-01-01)

## FAQ

### What does Matthew do?

Matthew is a Computer Science student at Rensselaer Polytechnic Institute and a current Software Engineer Intern at Product Manager Accelerator. He is interested in backend engineering, logical problem-solving, APIs, systems, operations, scaling, and pure logic work.

### What are Matthew’s professional strengths?

Matthew’s strongest areas include structured coding and logical problem-solving, particularly work similar to the data structures problems he has studied. He also has experience with Python, SQL, C++, Django RESTful APIs, LLM API integration, and prompt engineering.

### What does Matthew do at Product Manager Accelerator?

At Product Manager Accelerator, Matthew serves as the primary back-end engineer in an Agile development team. He designs and implements Django RESTful APIs that support a real-time chat application.

### What has Matthew built with OpenAI’s ChatGPT?

Matthew developed a Python script to automate message generation in his school’s Discord channel. The script leverages OpenAI’s ChatGPT to embed messages and provide intelligent, context-aware responses to questions.

### What was Matthew’s chess AI backend project?

Matthew built a chess AI backend from scratch that handles piece movement, board updates, and ChatGPT API integration. He addressed the challenge of maintaining accurate AI board states, adapted when the AI made illegal moves, and used structured prompting and validation while balancing quality against token constraints.

### What is Matthew’s experience with LLM APIs and prompt engineering?

Matthew has experience integrating LLM APIs and applying prompt engineering to solve technical problems. His work includes using ChatGPT in both a Discord automation script and a chess AI backend.

### Where else has Matthew worked?

Matthew has experience as an Associate at MARSHALLS LLC.

### What is Matthew’s educational background?

Matthew is pursuing a Bachelor of Science in Computer Science at Rensselaer Polytechnic Institute. He earned a High School Diploma from Westford Academy.

### What technologies does Matthew work with?

Matthew’s listed skills include Python, MATLAB, Microsoft Excel, MySQL, PHP, Java, JavaScript, Git, C, and C++. He also has experience with SQL and is flexible about working with different technology stacks.

### What kinds of engineering work is Matthew open to?

Matthew is open to a range of backend work, including API development, systems, operations, scaling, and pure logic. He is flexible about adapting to different technology stacks.

### Where can I find Matthew’s code and professional summary?

Matthew’s GitHub profile is available at https://github.com/21moh. His LinkedIn summary is titled “My Code Wonderland.”

## Links

- LinkedIn: https://www.linkedin.com/in/ACoAADV8oBQBPibbsx6mVsrfjkeugwLqqu7P5Qc

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