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About

Full-Stack and Machine Learning Engineer

I’m an ETH MSc graduate who enjoys turning messy data and research prototypes into robust, deployable AI products. My work spans RAG and retrieval pipelines, PyTorch model engineering, and full-stack deployment (Python, Java, React TypeScript, Docker, nginx), and I’m motivated by roles where engineering rigor and product impact meet, shipping solutions that scale and genuinely improve user outcomes.

Skills

C Programming

C++

Docker

Flask

Java

Lime

Machine Learning

MySQL

PostgreSQL

Python

React.js

Relational Databases

SQL

TypeScript

WebSockets

Open for

cofounder

fulltime

Work Experience

Western Canadian Learning Network

2020-03 - 2023-05

Workplace
Web Developer
Location

Other

Employement type

fulltime

During my time working as a developer for WCLN, I implemented CSS-only interactive components to replace blocked JavaScript features, restoring core functionality across course pages and improving cross-browser compatibility and accessibility. I designed and rolled out a rapid video-production pipeline (OBS, Camtasia) that reduced turnaround from hours to minutes and enabled production of up to 20 tutorial videos per day. I also developed dozens of JavaScript-based educational games integrated into course materials to boost learner engagement, and delivered lessons in Pre-calculus and Physics to support instructors and students.

Academic Experience

ETH Zurich -

 

2023.09 - 2025.11

Master of Science, MSc in Computer Science