Open to new opportunities
Hi, I'm Ethan Escat
I'm a |
A UC Berkeley EECS student building at the intersection of AI, robotics, and full-stack development — turning ideas into thoughtful, well-engineered products.
A UC Berkeley EECS student building at the intersection of AI, robotics, and full-stack development — turning ideas into thoughtful, well-engineered products.
I'm a final-year EECS student at UC Berkeley, graduating this December, with a deep interest in robotics and AI and a drive to use technology to make people's lives easier. Right now I'm a frontend engineering intern at Lea by Legali, where I build features across web and mobile — and I love taking ideas all the way from concept to shipped product, whether that's a full-stack web app, a machine learning pipeline, or an autonomous robot. I transferred to Berkeley with a 4.00 GPA after time as a community-college math tutor, an experience that pushed me out of my shell and sharpened my communication and teamwork. I'm currently open to new roles and opportunities, so if you're building something exciting, let's talk.
Java, Python, JavaScript, SQL, C/C++, HTML/CSS
B.S. in Electrical Engineering & Computer Science, UC Berkeley — Expected Dec 2026 (4.00 transfer GPA)
Full-stack apps, machine learning pipelines, autonomous robotics, and data analysis tools.
Lea by Legali
Berkeley, CA
HealtheTile
Brentwood, CA
ASUC Senator Office
Berkeley, CA
Pilipinx Association of Scientists, Architects & Engineers (PASAE)
Berkeley, CA
B.S. in Electrical Engineering & Computer Science
Focused on the applications of robotics and AI.
A.S. in Computer Science and Mathematics
Cumulative GPA: 4.00. Coursework in data structures, assembly, C/C++, and discrete math.
My work spans software, data, hardware, and design — I enjoy combining technical depth with a creative eye to build things that feel as good as they function.
Front-end and back-end web development — from social platforms to full-stack design tools using React, Next.js, and TypeScript.
Building ML pipelines and data workflows, from MVP prediction models to API-driven data extraction and analysis.
Hands-on embedded systems work — PCB assembly, sensor integration, and PID control on autonomous robots.
Visual storytelling and design — video editing in DaVinci Resolve and graphic design with Adobe Photoshop.
A collection of work spanning full-stack web apps, machine learning, autonomous robotics, and data analysis — each one a chance to learn something new.
A full-stack, Instagram-inspired social platform with secure auth, profile management, and scalable data fetching using React Query caching and parallel queries.
An autonomous maze-solving robot built on a custom PCB with soldered sensors and motor drivers, running PID-based wall-following and turning logic. Built in a 2-person team through UC Berkeley IEEE.
A procedurally generated 2D world engine in Java with avatar movement, input handling, and full save/load persistence, built collaboratively on a shared codebase.
An ML pipeline trained on 30+ seasons of data that ranks MVP candidates with top-5 accuracy, evaluated against RMSE and MAP@K, using time-series cross-validation to prevent data leakage.
A custom t-shirt design studio that combines full-stack development with graphic design, letting users create and preview their own apparel.
A data extraction and analysis pipeline that pulls listening data from the Spotify API to surface patterns and insights across playlists.
I'm always open to new opportunities, collaborations, or just a good conversation. Drop me a message and I'll get back to you.
ethan_escat@berkeley.edu