Isaac Seessel
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolIsaac Seessel is a machine learning engineer and lifelong learner with eight years of hands-on experience bridging distributed systems and self-supervised computer vision research. After pivoting from a humanities degree to software via a bootcamp, he completed post-baccalaureate mathematics and pursued an MS in Data Science while leading production ML efforts for Estée Lauder and consulting across pharma and finance. At Meta (FAIR) he contributed to large-scale, self-supervised learning and maintained VISSL, an influential open-source library for image SSL, bringing practical DevOps and backend fixes that kept research pipelines running. Pragmatic and math-driven, he combines rigorous analytical training with production engineering instincts and a background in Gender & Sexuality Studies that informs a thoughtful, interdisciplinary approach to problems. Based in New York, he’s known for digging into foundations while shipping reliable systems at scale.
9 years of coding experience
Masters of Science, Data Science (Incomplete), 4.0, Masters of Science, Data Science (Incomplete), 4.0 at New York UniversityPost Baccalaureate Studies, Mathematics, 4.0, Post Baccalaureate Studies, Mathematics, 4.0 at Hunter CollegeBachelor of Arts - BA, Gender and Sexuality Studies, 3.85, Bachelor of Arts - BA, Gender and Sexuality Studies, 3.85 at Oberlin CollegeFull Stack Web Development, Full Stack Web Development at App Academy
Stackoverflow
1reputation
807reached
0answers
1question
Github Skills (13)
pytorch10
devops10
python10
self-supervised-learning9
machine-learning9
bash9
image-recognition8
data-engineering8
slurm8
tic-tac-toe6
deepcopy6
dup6
ruby6
Programming languages (6)
Github contributions (5)
facebookresearch/vissl
Mar 2021 - Mar 2022
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:3 releases, 58 reviews, 60 commits in 1 year
Contributions summary:Isaac primarily focused on maintaining and improving the VISSL library, specifically related to self-supervised learning with images. Their contributions included fixing import paths, fixing typos in bash commands, and adding a script for dataset creation. The user also added functionality to the SLURM Hydra config and introduced an EMA hook. Additionally, the user made changes in the instance retrieval code and added support for the Oxford and Paris datasets.
self-supervised-learning
iseessel/mno-enterprise
Jan 2018 - May 2019
The Maestrano Enterprise Engine
Contributions:150 pushes, 32 branches in 1 year 3 months
enterprise
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