Summary
Yerzhan Imanmalik is a Senior Data Scientist and machine learning researcher with seven years of experience building NLP, GenAI and deep learning solutions across medical, genomics and multimodal domains. He currently leads GenAI and LLM initiatives at EPAM while co-founding and mentoring at AI Academy KZ, teaching RLHF, speech and multimodal networks and serving as a regional resource manager for data science talent. His background blends rigorous academic research—Skoltech master’s work on sensor fusion and active learning—with hands-on engineering: production NLP for medical texts, large-scale entity disambiguation, and working with datasets of 100M+ rows. He has open-sourced a DNA language model at AIRI and delivered multiple GenAI POCs in 2024, showing a knack for moving research prototypes into applied systems. An IMO-trained mathematician and former competitive programmer, he brings strong problem-solving rigor and a lifelong curiosity about neuroscience and evolutionary biology that informs his approach to biologically inspired ML problems.
7 years of coding experience
3 years of employment as a software developer
Master's degree, Data science, Master's degree, Data science at Skolkovo Institute of Science and Technology
High School Diploma, 5.0/5.0, High School Diploma, 5.0/5.0 at National School of Physics & Math (FIZMAT)
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Nazarbayev University
English, Russian, Kazakh, French