Karl Leswing
Vice President Of Machine Learning at Schrödinger
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolKarl Leswing is a Vice President of Machine Learning at Schrödinger with 13 years of engineering and leadership experience focused on applying deep learning to small-molecule discovery. He has progressed through technical and director-level roles at Schrödinger, blending backend systems design, ML product leadership, and DevOps to move models from research into production. An active Technical Steering Committee member and contributor to DeepChem, Karl helps democratize AI for drug discovery and materials science while also improving build and deployment tooling. He holds a master’s in Machine Learning from Georgia Tech and brings a rare combination of hands-on backend engineering and domain expertise in computational chemistry.
13 years of coding experience
14 years of employment as a software developer
HS, HS at Thomas Jefferson School for Science and TechnologyMaster's degree Machine Learning, Master's degree Machine Learning at Georgia Institute of TechnologyBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of Virginia
Stackoverflow
41reputation
2kreached
1answer
1question
Github Skills (13)
tensorflow10
python10
dockers9
cicd9
docker9
documentation7
py2exe6
boto6
amazon-web-services6
image-manipulation6
lego-mindstorms6
image-processing6
image6
Programming languages (11)
Github contributions (5)
deepchem/deepchem
Feb 2017 - Jun 2020
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:480 commits, 256 PRs, 45 pushes in 3 years 4 months
Contributions summary:Karl made a variety of code changes, including adding new functionality to examples, updating core documentation, and making changes to build scripts. They updated the install script to upgrade tensorflow to version 1.6.0 and also modified the Dockerfile. The user also addressed several minor issues, included removing deprecated arguments and fixing spelling errors.
chemistrysciencedrug-discoverydeep-learningbiology
lilleswing/jenkins_starter
Apr 2020 - Aug 2022
Starter for Running Experiments On Jenkins
Contributions:2 PRs, 32 pushes, 5 branches in 2 years 4 months
jenkinsjenkins-plugin
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