Joey Sham
Professor at EPF Ecole d'Ingénieur-e-s
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolJoey Sham is a Professor and Senior Machine Learning Engineer with 11 years of experience building production ML systems across NLP and computer vision. He has a strong track record of end-to-end delivery—designing scalable data pipelines, training models, and deploying low-latency APIs and infrastructure on cloud platforms. Joey blends academic rigor (MSc in Elementary Particle Physics) with hands-on engineering, having implemented GPU-accelerated algorithms early in his career and later led search and embedding projects in production. He also mentors and teaches professionally, having instructed data science and analytics courses and supervised students at multiple institutions. An active open-source contributor, Joey maintains practical CLI developer tools and a LinkedIn scraping library that reflects his backend and data engineering strengths. Based in Old Toronto, he pairs deep technical breadth with a knack for turning research ideas into reliable, operational software.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Engineering Physics & Management, Specializing in Nuclear and Energy Systems, Bachelor of Engineering (B.Eng.), Engineering Physics & Management, Specializing in Nuclear and Energy Systems at Faculty of Engineering - McMaster UniversityMaster of Science (M.Sc.), Elementary Particle Physics, Master of Science (M.Sc.), Elementary Particle Physics at McMaster University
Github Skills (16)
scrape10
scrapy10
selenium-ide10
selenium10
webscraper10
webscraping10
python10
data-scraping10
screen-scraping10
webrequest9
lxml9
http-request9
scraper9
linkedin8
chrome8
Programming languages (10)
Github contributions (5)
joeyism/linkedin_scraper
Oct 2017 - Nov 2022
A library that scrapes Linkedin for user data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:25 releases, 4 reviews, 122 commits in 5 years 1 month
Contributions summary:Joey primarily worked on the `linkedin_scraper` library, which scrapes user data from Linkedin. Their contributions included updating the setup, publishing the library, and fixing issues. The user also made changes to the `scraper.py` file, implementing the core scraping logic and structure for retrieving user data, including experience, education, and other relevant details. These changes involved creating a more robust scraping process, potentially improving the library's ability to extract information from LinkedIn profiles.
firefoxdriverlinkedin-scraperchromelinkedin
joeyism/Commonly-Used-Pyspark-Commands
Dec 2017 - Apr 2020
Contributions:15 commits, 13 pushes, 1 branch in 2 years 4 months
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