Evgeny Krivosheev
Lead AI Engineer at Toloka
Trentino-Alto Adige/Südtirol, Italy
Summary
👤
Senior🎓
Top SchoolEvgeny Krivosheev is a Lead AI Engineer with 11 years of experience bridging academic research and production ML systems, currently designing human-AI pipelines and LLM-powered tooling for complex domains like coding, medicine, finance and fraud prevention. He holds a PhD in Computer Science and a strong research pedigree—authoring CVPR- and NeurIPS-related work on unsupervised domain adaptation, self-supervised learning and graph-based models that translated into measurable accuracy gains. In industry he has led multimodal document retrieval and extraction teams, shipping multilingual Transformer and LayoutLM-based systems for identity verification and PII extraction across multiple languages and cloud platforms. Evgeny combines hands-on model deployment (ONNX, AWS Sagemaker, GCP OCR) with engineering practices like CI for ML, enabling robust, testable model updates in production. He is fluent in turning cutting-edge research (GANs, GNNs, self-supervision) into pragmatic solutions that reduce error rates and annotation costs, and he often focuses on hybrid human–machine workflows to scale data quality. Based in Trentino-Alto Adige, Italy, he blends deep academic rigor with product-oriented leadership in AI.
11 years of coding experience
5 years of employment as a software developer
Aerospace electronics and information systems and technologies. Radiophysics, Aerospace electronics and information systems and technologies. Radiophysics at Belarusian State UniversityСамарский Государственный Аэрокосмический УниверситетDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Università degli Studi di Trento
Русский, English
Github Skills (31)
transformers10
pytorch10
language-model10
python10
machine-learning10
deep-learning10
tensorflow10
bert10
natural-language-processing10
transformer10
speech-recognition10
nlp10
jax10
seq2seq9
flax9
Programming languages (2)
Github contributions (5)
Evgeneus/Graph-Domain-Adaptaion
Mar 2021 - Jul 2021
PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
Contributions:14 commits, 1 PR, 11 pushes in 3 months
pytorchcurriculumteachingmulti-targetdomain
Evgeneus/Active-Hybrid-Classificatoin_MultiPredicate
Jul 2018 - Jul 2019
Contributions:198 pushes, 17 branches in 11 months
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