Sobir Bobiev is a data scientist with a strong research-to-production track record, blending 2.5 years of focused NLP work with a broader eight-year background in machine learning and coaching. He has designed multilingual customer-facing systems in production—most notably a Tajiki-capable chatbot built with Rasa and transformer models—and specializes in information retrieval and efficient transformer adaptations for CPU-constrained environments. His experience spans academic research at Innopolis University (transformer pretraining/fine-tuning, sparse attention, multimodal ranking) and hands-on engineering at Alif Bank and Yandex, giving him fluency from experiment design to deployable tooling. Comfortable curating multilingual datasets and enabling non-technical stakeholders to manage ML systems, he combines practical product impact with deep technical rigor.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tajik National University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Innopolis University
Contributions:12 pushes, 1 branch in 2 years 11 months
dlibeyeblink-detectionpython3
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