# Youssef Belyazid

> Software Engineer at Meta

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/youssefbelyazid

Youssef is a software engineer with a strong background in computer science, math and machine learning. He works in a agile environment to deliver tested, extensible, and scalable code. In addition to maintaining technical documentation and collaborating with product managers and other engineers.  His skill set include Python, Typescript, SQL, Java, Shell script.

## Work Experience
### Software Engineer @ Meta
Jan 2024 – Present | San Francisco Bay Area

### Software Engineer @ Dropbox
Jan 2022 – Jan 2024 | San Francisco Bay Area
- Developed files organization tools to help users organize their Dropbox space through custom rules based on keywords, extension, dates, etc. resulting in 6.4 million files moved since their launch.
- Worked on the back-end side of a new surface in Dropbox that homes video files and let user perform various file actions
- Worked on automating the tidy feature which constitutes 65% of the MAU.

### Research Assistant @ University of Cincinnati - College of Engineering and Applied Science
Jan 2021 – Jan 2021 | Cincinnati, Ohio, United States
- part time research project related to generative adversarial neural networks and computer vision

### Software Engineer @ MERITIS
Jan 2020 – Jan 2021 | Paris
- Built an automation tool to generate SQL queries from the specifications of an ETL process. My tool allowed the team to reduce the tables end-to-end processing time from one week to one hour
- Gave technical presentations about the automation tool to my team and wrote a detailed documentation of it
- Developed bi-weekly Tableau reports to help upper management monitoring inventory status

### Machine Learning Engineer Intern @ Technicolor
Jan 2019 – Jan 2019 | Rennes Area, France
- Developed an image processing pipeline based on deep learning to fill the content of missing pixels within images.
- The pipeline has a latency of 0.9 seconds and can handle images without any prior processing
- Implemented and trained several generative adversarial network (GAN) architectures
- Python, Java, TensorFlow, Keras, imageio, Matplotlib

### Data Scientist Intern @ National Chiao Tung University
Jan 2018 – Jan 2018 | Hsinchu City, Taiwan
- Developed a predictive algorithm to infer hand movement direction (left/right) from the brain activity (EEG signals).
- Deployed autoregressive modeling and wavelet decomposition for features extraction and support vector machine (SVM) for classification.
- Frameworks Used: Python, Matlab, Scikit-Learn, Pandas, NumPy.


## Education
### Master of Science - MS in Analytics
University of Cincinnati
Jan 2021 – Jan 2022

### Engineer's degree in Engineering
ENSEIRB-MATMECA - Bordeaux INP
Jan 2016 – Jan 2019


## Contact & Social
- LinkedIn: https://linkedin.com/in/ybelyazid

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Source: https://flows.cv/youssefbelyazid
JSON Resume: https://flows.cv/youssefbelyazid/resume.json
Last updated: 2026-03-22