Full Stack Software Engineer
MSc Computer Science (AI/ML Focus)
I’m a Software Engineer at Google, working on Ads/AdMob EngProd, where I build automation and test infrastructure across Android and iOS. I hold a BA from Brown University and an MSc in Computer Science from the University of St Andrews, graduating with First Class Honours with Distinction. Throughout my studies and career, I’ve sharpened my skills in software development, release engineering, data science, and AI, with hands-on experience across Python, Java, JavaScript, TypeScript, SQL, Go, and a range of full-stack and machine learning technologies.
I’m always eager to learn and innovate, constantly seeking opportunities to expand my skill set and make a meaningful impact in the tech industry and beyond. My Master’s dissertation applied machine learning and computer vision to pathology research in mast cell diseases, and I continue to explore how AI and automation can solve real-world problems. I’m excited to keep applying my expertise and contribute to groundbreaking technologies as my career grows.
Spring 2024
Reinforced foundational programming skills while encouraging creativity, building upon the initial programming coursework.
Focused on the practical design and implementation of AI, with techniques in reasoning, planning, and learning. Students implemented AI concepts in software and learned how to evaluate their effectiveness.
Introduced the design and development of visual representations for data exploration and analysis. Focused on principles of visual design, interaction, and evaluation, with practical assignments to reinforce skills.
Covered automated data collection and analysis techniques for large-scale databases. Topics included model selection, tree methods, neural networks, and classification, with an emphasis on practical programming applications.
Fall 2023
Covered the foundational concepts of AI, including logical reasoning, uncertainty, and machine learning. Explored AI philosophies, problem-solving with search, and addressed philosophical issues within AI.
Introduced key software engineering concepts such as development methodologies, high-level specifications, project management, and quality assurance, with an emphasis on ethical and sustainable practices. No programming was required.
Explored techniques for developing dependable socio-technical systems. Emphasized understanding system dependability and applying specialized software engineering techniques for reliable operation.
Strengthened skills in object-oriented design and implementation, essential for advanced programming assignments. Assumed prior programming experience equivalent to a Computer Science degree.
Spring 2023
Explored fundamental computing principles with a focus on data structures, algorithms, and database management.
Lea Brody-Heine lea_brody-heine@alumni.brown.edu
This project showcases the development of a full-stack web application using Node.js for the backend, React for the frontend, and MongoDB for the database. It includes user authentication, CRUD operations, and interactive data visualizations.
Key features include:
This project was designed to demonstrate the ability to integrate various technologies into a seamless user experience and deploy a fully functional web application.
This project focuses on finding the shortest flight path between airports using Dijkstra's algorithm. It utilizes a graph representation of airports and flight routes to calculate the minimum travel distance.
This application is helpful for educational purposes and as a practical tool for planning travel routes.
This project visualizes various data points related to schools in California, aiming to identify trends in student performance, funding, and demographic distributions. The data is sourced from public records and is presented through interactive charts and maps.
This tool is intended to assist policymakers, educational planners, and the general public in understanding the dynamics of educational success and challenges in California.
Features:
This project is a server for a strategy board game, implemented in Java. It involves managing game logic and player interactions in a virtual game environment.
The UI of the game was built by the professors and the concept of the game was constructed by ChatGPT and Module Professors
This interactive web application challenges users with quizzes on various topics, featuring dynamic question generation and user authentication for tracking scores and progress.
The project aims to provide an engaging learning environment with scalable features for adding new topics and difficulty levels.
Using machine learning to predict the progression of cirrhosis based on patient data. This project employs several advanced algorithms to forecast critical outcomes and assist in medical decision-making.
Significant for its contributions to healthcare analytics, providing insights that can lead to better patient outcomes.
A game where players create beautiful mosaics using AI-driven opponents. It showcases the application of logical reasoning and AI strategy in gameplay.
This project highlights the combination of art and technology, offering a fun and intellectually stimulating environment.
An in-depth exploration into data mining techniques and machine learning algorithms aimed at discovering patterns and deriving actionable insights from large datasets.
This project provides critical insights that can be leveraged in various sectors, including finance, healthcare, and marketing.