Oleh Shkalikov is an AI/ML engineer and research associate with nine years of experience applying NLP and computer vision techniques across academia and research institutes in Germany and Ukraine. He focuses on retrieval-augmented generation, cross-lingual NER, low-resource machine translation, and both 2D/3D semantic segmentation, combining strong mathematical foundations with practical systems skills. Oleh has hands-on expertise optimizing inference (quantization, CTranslate2), deploying models as microservices (TorchServe, LangChain), and accelerating workloads with C++, CUDA and OpenMPI. His background spans end-to-end pipelines from training Transformer-based models to serving constrained/guided decoding for structured generation, and he maintains reproducible experiment tooling driven by configurable YAML. Based in Dresden, he blends applied research with production-minded engineering, evidenced by work at ScaDS and contributions to projects bridging multilingual NLP and efficient model deployment.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computational Modeling and Simulation, Master's degree, Computational Modeling and Simulation at Technische Universität Dresden
Laboratory works on programming courses at the Institute of Physics and Technology National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
Contributions:16 PRs, 205 pushes, 32 branches in 2 years 8 months
Лабораторні роботи з фізики спеціальності "Прикладна математика" Фізико-технічного інституту НТУУ "КПІ імені Ігоря Сікорського"
Contributions:8 PRs, 59 pushes, 11 branches in 1 year 4 months
python
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