Maxim Kryzhanovskiy
@maximkryzhanovskiy
Machine learning engineer focused on AI and NLP innovations.
What I'm looking for
As a dedicated machine learning engineer, I am passionate about leveraging advanced technologies to solve complex problems. Currently, I am designing and developing an AutoML tool for classification models at T-Bank, where I also work on MLOps pipelines utilizing TFX, Airflow, and Kubernetes. My research focuses on aligning large language models with PEFT methods, ensuring precision and efficiency in high-demand environments.
In addition to my role at T-Bank, I serve as the Lead NLP researcher at the Institute of Artificial Intelligence, where I develop methods for summarizing scientific articles and building AI-agent systems for autonomous reviews. My entrepreneurial spirit shines through my work as a co-founder and AI developer at NeuroDigital Solutions, where I manage the development of AI-powered solutions that optimize business processes across various industries.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
T-Bank
Jul 2024 - Present (11 months)
Designed and developed an AutoML tool for building classification models based on the Transformer Architecture. Developed MLOps pipelines using TFX, Airflow, and Kubernetes. Worked on the alignment of LLMs with PEFT methods (LoRA, DoRA) using instruct-tuning, RLHF, and DPO.
Lead NLP Researcher
Institute of Artificial Intelligence
Feb 2024 - Present (1 year 4 months)
Researched and developed methods for summarization of scientific articles. Built an AI-agent system for autonomous scientific reviews based on user queries using LangChain, smolagents, and vLLM. Researched and developed methods in scientific text and image generations with diffusion models.
Co-founder and AI-developer
NeuroDigital Solutions
Apr 2023 - Present (2 years 2 months)
Managed the development of AI-powered solutions for business process optimization. Designed and managed the development of a Computer Vision system integrated into a robotic arm for autonomous construction work. Designed and managed the development of an MES-system for food factories, integrated into over 20 factories.
C/C++ Intern and Junior Developer
Kaspersky Lab
Jun 2023 - Present (2 years)
Developed a sound stack (pulse and alsa) for a secure operating system using C/C++. Integrated sound stack backends into different devices using a special Building Kit. Worked with CMake and JTest for CI/CD.
Education
Degrees, certifications, and relevant coursework
Moscow State University
Bachelor in applied mathematics and informatics, Computational Math and Cybernetics
2021 - 2025
Activities and societies: Academic advisor: Prof. Konstantin Vorontsov. Research area: Efficient ways of tuning Large Language Models in high domains with big contexts and high requirements for precision.
Studied applied mathematics and informatics with a focus on computational methods. Researched efficient ways of tuning Large Language Models in high domains with big contexts and high requirements for precision.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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