Mykola Lukashchuk
Phd Researcher Assistant at Eindhoven University of Technology
Eindhoven, North Brabant, Netherlands
Summary
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Rockstar🎓
Top SchoolMykola Lukashchuk is a machine learning engineer and PhD researcher assistant based in Eindhoven with 9 years of experience applying statistical rigor and practical ML to consulting and product teams. He blends deep expertise in Python, R, statistics and mathematics with hands-on NLP and applied-data roles across startups and academia, including ongoing research at Eindhoven University of Technology and engineering work at DiviAI. His background in statistics (master’s and bachelor’s) and a concurrent PhD in computer science give him a strong foundations-to-production perspective that helps bridge research questions and deployable solutions. Notably, he has transitioned from consulting-focused ML projects into specialized NLP engineering and research, reflecting both breadth and a growing focus on publishable, reproducible work.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Eindhoven University of TechnologyThe National Polytechnic Institute of MexicoBachelor's degree, Statistics, Bachelor's degree, Statistics at Kiev National Taras Shevchenko UniversityMaster's degree, Statistics, Master's degree, Statistics at Taras Shevchenko National University of Kyiv
Github Skills (65)
probabilistic-programming10
text-segmentation10
image-processing10
distributed-computing10
bayesian-inference10
ssreflect10
message-passing10
recommender-system10
object-detection10
computer-vision10
julia10
variational-inference10
metric-learning10
information-retrieval10
text-classification10
Programming languages (4)
Github contributions (5)
biaslab/ClosedFormExpectations.jl
Apr 2024 - May 2024
Julia package that provides closed-form expressions for computing the expectation of a function
Contributions:4 releases, 4 reviews, 30 PRs in 1 month
Nimrais/catalyst
Jul 2021 - Dec 2021
Accelerated deep learning R&D
Contributions:249 pushes, 34 branches in 4 months
deep-learningpytorchacceleratedmachine-learning
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