# Wael Boukhobza

> Software Engineer at NVIDIA

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

I currently work as a Software Engineer at NVIDIA.

I pursued a Master of Data Science at Columbia University in the city of New York. Its training provided me with advanced quantitative skills in the following areas: Computer Sciences (Python, R, Data Structures, Object Oriented Design, etc.), Probability, Statistics, Machine Learning and Deep Learning.

GitHub: https://github.com/WaelBKZ

## Work Experience
### Software Engineer @ NVIDIA
Jan 2024 – Present | Santa Clara, California, United States
DGXC

### Software Engineer @ Shoreline.io (Acquired by NVIDIA)
Jan 2023 – Jan 2024 | Redwood City, California, United States

### Machine Learning Engineer @ Surgical Safety Technologies Inc.
Jan 2023 – Jan 2023 | New York, New York, United States
• Developped AI models for real-time analysis of surgical videos. Leveraged Computer Vision models such as Dynamic Convolutional Neural Networks (CNNs) or Image Segmentation models such as Detectron2/SAM.
• Built robust end-to-end data pipelines for ML models automation on thousands of hours of footage.

### Machine Learning Engineer Intern @ CREST - Center for Research in Economics and Statistics
Jan 2021 – Jan 2021 | Ville de Paris, Île-de-France, France
Research NLP internship focusing on non-labeled data.
• Scraped (via Python: Selenium, BeautifulSoup and APIs) and used more than 10,000 working agreements from French government website. On the one hand, used those to understand the impact of a 2018 French reform on equality-at-work, and on the other hand to understand the impact of lockdown on the generalization of teleworking.
• Worked with Datamatics for the labelling process, then employed supervised Machine Learning algorithms for exploiting the labelled data.
• Also considered several other approaches such as NER (Named-entity recognition), Semi-Supervised learning, keyword searching, etc.

### Software Engineer Intern @ SmartKeyword.io
Jan 2020 – Jan 2020 | Ville de Paris, Île-de-France, France
• Exploited and analyzed more than 1 million SEO data.
• Created a Google Datastudio dashboard displaying interactive statistics for SEO clients.


## Education
### M.S. in Data Science
Columbia University

### M.S. in Statistics
ENSAE Paris

### CPGE in MP, Mathématiques, Physique
Lycée Bellevue

### Baccalauréat S
Lycée Pierre Paul Riquet


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

---
Source: https://flows.cv/wael
JSON Resume: https://flows.cv/wael/resume.json
Last updated: 2026-03-29