Andrew Boateng

Welcome to my portfolio!

I am a Software Engineer!

I have professional experience in data science, ML, Android Development and full-stack engineering. From my time at Apple.
I have academic experience in game development, computer animation, image and video processing and AI/ML. programming
I am interested in programming for multimedia applications, backend development, AI/ML, computer vision, game development, photography and filmmaking/videography
I am currently undertaking projects to further expand my knowledge in graphics with WebGPU

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Professional experience

Software Engineer at Apple Auguat 2023 - July 2025

Software Engineer AppleJDK

Developed a log analysis service using FastAPI and Jupyter for visualizing Java garbage collection patterns, improving developer diagnostic efficiency
Deployed onto the java.apple.com website served by all AppleJDK customers

Android Developer Shazam

Implemented features to the Android app enabling deep-linking into streaming apps via Kotlin, Java, and Jetpack Compose with a TDD approach
Reduced time to finish tasks by 10% via steps eliminating the need to enter buckets,automating the reboot of the app on QA devices and accelerated QA testing cycles by building a feature that provides automated control of user "Buckets" through the CI/CD pipeline
Architected transformations of configuration data to UI with real-time rendering and Jetpack Compose integration

Fullstack Engineer Shazam

Delivered metadata editing web tools using React, Django, and SpringBoot, deployed to GCP VM with scalable GraphQL support (1000s of requests) improved metadata editing efficiency by 20%
Delivered Aluminum Framework(Spring boot) application on GCP for internal Shazam use
Built token-based auth in Aluminum for managing music metadata at scale between Shazam-Apple cloud infrastructure
Authored internal developer documentation on authentication and deployment for Shazam-Apple systems

Data Scientist Intern at Thames Water Utilities Ltd June 2022 - August 2022

Built CNN-based acoustic leak detection models using PyTorch and PySpark, achieving 70% classification accuracy on large-scale datasets
Preprocessed time-frequency audio features using PySpark on Databricks to support real-time infrastructure diagnostics

Software Engineer Intern at American Express Company April 2022 - April 2022

Enhanced legacy migration tooling using Java, SpringBoot, and React, improving visibility and tracking of data pipeline processes
Redesigned UI flows for monitoring data transfer between core systems during infrastructure transition

Projects

Real-time ball tracking

Developed a real-time ball tracking system in C++ and OpenCV. Created debugging view to visualize the tracking process and a tuning window for quick parameter adjustments whilst the program is running.

check it out > Watch a demo >

Context aware music playlist recommender

Developed a context-aware music playlist recommender system using FastAPI and OpenAI for the API and LLM and React for the frontend. Implemented calendar upload to allow the user to selects events to personalize recommendations. Utilised FastFM API and to build a RAG pipeline for enhanced retrieval.

check it out > Watch a demo >

Detect visual changes web application

Developed a web application to detect visual changes in images to be used for QA on designs. using FastAPI and OpenCV for the API and image detection algorithms and React with Vite and Tailwind CSS for the frontend. The application also has a postgress database attached so that the user can retrieve past comparisons. Implemented image upload to allow the user to upload two images to compare and highlight the differences.

check it out > Watch a demo >

Tone-mapping algorithms comparisons

Implemented three tone mapping algorithms and compared each algorithm's quality by three metrics. PSNR, SSIM and Delta E.

check it out >

Rust tool to blend two images

Built a CLI app in rust to blend two RGB images of the same size with the option of seven different blend modes.

check it out >

Reinforcement learning agent to play a procedurally generated game

This was my dissertation project where I built a reinforcement learning agent using Unity and OpenAI gym to play a 3D puzzle game that has its environment procedurally generated created by me.

check out the demo >
Read the paper >
Watch a demo of the Agent >
Watch a demo of the procedural environment >