Bogdan Didenko is a Deep Learning Engineer based in Lviv, Ukraine, with a decade of experience building production-ready AI systems and web applications. He specializes in transformer-based architectures for grammatical error correction and LLM work—designing tokenizers, customizing training objectives for instruction tuning, and optimizing pretraining and fine-tuning pipelines. At WebSpellChecker he developed end-to-end model pipelines on AWS SageMaker, and at Lapa LLM he focuses on hyperparameter optimization and tokenizer development for large models. A serial technologist and co-founder of Bioengineering Clarion, he blends research-grade PhD-level computer science training with hands-on engineering and startup pragmatism. Earlier roles in frontend and JavaScript development give him full-stack fluency that helps bridge model research and deployable products. He’s notable for moving bespoke transformer research into production infrastructure in resource-constrained environments.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Lviv Polytechnic National University
Master's degree Computer Science, Master's degree Computer Science at H. S. Skovoroda Kharkiv National Pedagogical University
Contributions:30 commits, 23 pushes, 9 branches in 2 years 10 months
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Bogdan Didenko - Deep Learning Engineer at WebSpellChecker LLC