Mert Sengul
AI Science Lead, Natural Language Processing
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolMert Sengul is an AI Science Lead specializing in natural language processing with nine years of experience bridging machine learning research and production across biotech, finance, and industrial settings. He holds a PhD in Computational Chemistry and Machine Learning and has a track record of turning advanced generative and optimization methods into deployed workflows—from drug discovery predictive models to enhanced-sampling biomolecular pipelines. Comfortable leading cross-functional teams, he combines academic rigor with practical engineering, having moved models into Python workflow systems and high-performance computing environments. Based in Washington, D.C., Mert blends expertise in ML, computational sciences, and optimization with a demonstrated commitment to ethical, operationalized AI that improves decision-making in high-stakes domains.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS Micro and Nanotechnology, Master of Science - MS Micro and Nanotechnology at TOBB Ekonomi ve Teknoloji ÜniversitesiDoctor of Philosophy (Ph.D.) Computational Chemistry and Machine Learning, Doctor of Philosophy (Ph.D.) Computational Chemistry and Machine Learning at Penn State UniversityAssociate's degree Securities and Capital Markets, Associate's degree Securities and Capital Markets at Anadolu UniversityBachelor's degree Engineering Physics, Bachelor's degree Engineering Physics at Hacettepe University
Github Skills (9)
explore9
latin9
hypercube9
optimization7
machine-learning6
deep-learning5
mesh3
pytorch2
neural-network1
Programming languages (1)
Github contributions (5)
mertyigit/initial_design
Nov 2019 - Oct 2023
Contributions:1 release, 3 pushes, 1 branch in 3 years 11 months
mertyigit/INDEEDopt
Jun 2020 - Mar 2022
An optimization framework using Latin Hypercube Design and deep learning to explore high-dimensional parameter spaces.
Contributions:22 commits, 2 PRs, 33 pushes in 1 year 9 months
optimization-frameworkexploredeep-learninglatin-hypercubeoptimization
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