Martin Blais
Sr Research Engineer at Withheld Institution
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMartin Blais is a senior research engineer with 23 years of experience applying machine learning, low-latency systems, and quantitative techniques to problems in finance, advertising, and computer graphics. He has led teams and shipped production ML and graph-mining systems at Google and Jane Street, and built trading infrastructure and options models in fast-paced algorithmic trading settings. Equally comfortable in C/C++ and high-level languages like Python and OCaml, he bridges research and engineering to take prototypes to scale across distributed pipelines. An active open-source contributor, he has improved pandas I/O and LaTeX/HTML serialization, reflecting a knack for practical tooling that benefits broad data-science communities. He blends entrepreneurial experience with formal training in computer engineering, computer science, and quantitative finance, and prefers collaborative, ambitious projects that push both research and production boundaries.
23 years of coding experience
12 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at Université de MontréalCertificate in Quantitative Finance Quantitative Finance, Certificate in Quantitative Finance Quantitative Finance at CQF InstituteE.E. Computer Engineering, E.E. Computer Engineering at Polytechnique Montréal
French, Spanish
Stackoverflow
697reputation
197kreached
14answers
1question
Github Skills (17)
python10
pandas10
fileio10
file-processing10
file-handling10
file-access10
data-analysis10
data-structure9
data-structures9
distutils6
libevent6
epoll6
mocking6
django6
java6
Programming languages (19)
Github contributions (5)
pandas-dev/pandas
Mar 2012 - Oct 2012
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits in 6 months
Contributions summary:Martin primarily contributed to the development and improvement of the pandas library's data input/output functionalities. Their work included adding support for reading fixed-width formatted files (read_fwf), implementing associated parsing classes, and fixing related issues. They also refactored and enhanced existing functions such as to_html and to_latex to support more flexible formatting options and improved LaTeX serialization. The user’s contributions focused on improving the data manipulation and analysis capabilities of the pandas library.
pythondatalabeled-datamanipulationdataframes
blais/xannotate
Feb 2009 - Jun 2022
Xlib Transparent Screen Annotator
Contributions:7 commits, 1 PR, 3 pushes in 13 years 6 months
annotatorxlibtransparent
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