Tatiana Kuznetsova
GOglobal Associate - Materials AI
United States
Summary
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Rockstar🎓
Top SchoolTatiana Kuznetsova is a materials scientist and engineer with four years of experience translating advanced research into sustainability-focused industrial solutions at EMD Electronics. With a PhD from Penn State in Materials Science and hands-on expertise in molecular beam epitaxy, she has led assessments and development of analytical methods for PFAS and evaluated destruction technologies—bridging lab-scale physics with practical environmental impact. Tatiana combines creative design thinking and strategic ownership to drive cross-functional projects from concept to implementation, and she thrives working with perceptive teams. Based in the United States, she brings a rare mix of deep experimental skills, instructional experience, and a sustainability-first mindset to materials AI and specialty gases analytics.
4 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Materials Science, Doctor of Philosophy - PhD Materials Science at Penn State UniversityBachelor's degree Non-Destructive Testing, Bachelor's degree Non-Destructive Testing at Tomsk Polytechnic University
English, Russian
Github Skills (23)
docker-image9
recommendation-system9
transformers9
openvino9
inference-engine9
inference9
diffusion-models9
natural-language-processing9
dockerfile9
generative-ai9
nlp9
dockerhub9
computer-vision9
speech-recognition8
deep-learning8
Programming languages (4)
Github contributions (4)
openvinotoolkit/docker_ci
Mar 2022 - Mar 2022
The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.
Contributions:4 commits, 3 PRs, 3 branches in 1 day
dockerfiledocker-imagedockerhubopenvino-toolkitdocker
openvinotoolkit/workbench
Mar 2022 - Mar 2022
Contributions:3 reviews, 1 comment in 3 days
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