matthew lim

software development engineer @ amazon data science alum @ uc berkeley UC Berkeley Logo

matthewlim@berkeley.edu

about

Software engineer with expertise in machine learning, cloud infrastructure, and full-stack development. Currently helping architect scalable solutions at Amazon's AGI Data Services, where I help build systems that process millions of data points daily.

I thrive on transforming complex problems into elegant solutions, whether it's building user-focused applications, implementing ML pipelines, or architecting cloud infrastructure. My approach combines technical rigor with creative problem-solving to deliver impactful results that truly benefit users.

Specializations

Artificial Intelligence / Machine Learning Data Science / Data Engineering Statistics / Analytics Infrastructure / Systems Programming Databases Internal Development / Internal Tools Tools / API / Compilers Web Applications

experience

Amazon

Current

Software Development Engineer

AGI Data Services

Mattel

Sep '24 - Jan '25

Data Engineer Contractor

ESG Data Pipelines and Dashboards

PwC

Jun - Aug '24

Software Engineer Intern

Generative AI Chatbot

Conagra

Feb - May '24

Data Science Intern

RAG Database Chatbot

CareerVillage

Jun - Jul '23

Consulting Intern

PwC Pro bono Case - Top 7% (6/77) Finalists

projects

This Website!

AWS Python JavaScript

Full-stack cloud portfolio architected on AWS with serverless infrastructure. Features DynamoDB storage, Lambda functions, and Terraform IaC deployment. Implements modern responsive design with real-time visitor tracking and dark mode support.

MusicMate

Python Pandas Scikit Learn Flask

Intelligent music analytics platform integrating Spotify API with machine learning. Features mood classification using Random Forest algorithms, comprehensive listening pattern analysis, and personalized insights through advanced data processing pipelines.

SEMS

Python Flask Plotly Arduino

IoT-enabled environmental monitoring system with multi-sensor integration. Deployed Raspberry Pi hardware measuring air quality, radiation levels, and atmospheric conditions. Engineered real-time data pipelines with interactive Plotly visualization dashboards for comprehensive environmental analysis.