Konstantin Schekotihin
Assosiate Professor
Austria
Summary
👤
Senior🎓
Top SchoolKonstantin Schekotihin is an Associate Professor and AI specialist with 11 years of academic and industrial experience designing deep learning and hybrid symbolic-subsymbolic systems for production, quality control, and supply chain automation. He blends fundamental research in ontology-based reasoning and high-performance algorithms with practical deployments for partners like Infineon and Siemens, delivering solutions from CNN-based defect recognition to reinforcement-learning-enhanced scheduling. Equally comfortable in NLP, image analysis, and cloud AI infrastructure, he focuses on retrieval-augmented language models and hybrid planners that bridge symbolic reasoning and learned heuristics. Known for quick learning, clear communication, and international collaboration, he also brings experience translating research prototypes into applied tools for operators and engineers. An often-overlooked strength is his long-standing work on fault localization and active learning for knowledge bases, which underpins many of his hybrid system designs.
11 years of coding experience
7 years of employment as a software developer
Dr, Computer science, Dr, Computer science at Universität KlagenfurtDipl.-Ing., Computer science, Dipl.-Ing., Computer science at National Technical University “Kharkov Polytechnic Institute”
English, Russian, German, Ukrainian
Github Skills (34)
language-server8
pylance7
java7
signal7
kotlin7
code-analysis6
android6
language-server-protocol6
python6
solver6
messenger6
languagetool5
answer-set-programming5
spell4
logic-programming4
Programming languages (6)
Github contributions (5)
Sa3doun13/ICLP-2022-extended-abstract
Mar 2022 - Aug 2022
Contributions:6 pushes in 4 months
konstantin-schekotihin/Alpha
Nov 2017 - Nov 2017
Contributions:3 pushes in 1 day
answerpythonsolverlazy-groundinggrounding
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