Cherenenkiy Ivan

AI/ML Tech Lead | Deep Learning Engineer | Researcher

Moscow, RU.

About

Highly accomplished AI/ML Tech Lead and Researcher with over 8 years of experience in deep learning, MLOps, and complex system design. Proven ability to drive innovative projects from concept to deployment, including developing federated learning systems for medical applications and optimizing AI pipelines on Kubernetes. Combines robust technical expertise with strong academic and teaching experience, holding an NVIDIA ambassador certification and a PhD in Informatics and Control Systems.

Work

I.M. Sechenov First Moscow State Medical University

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Tech Lead & Researcher

Moscow, Moscow Oblast, Russian Federation

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Summary

Leading the technical development of a distributed federated system at nephro.sechenov.ru, designed to enhance surgical planning for nephrectomy operations.

Highlights

Spearheaded the technical leadership and architectural design for nephro.sechenov.ru, a distributed federated system aimed at optimizing nephrectomy surgical planning.

Developed and implemented secure, privacy-preserving data sharing mechanisms for medical imaging and patient data across a federated network.

Collaborated with surgical teams and medical professionals to integrate AI-driven insights into clinical workflows, improving decision support and operational efficiency.

Managed the full lifecycle of the research and development process, from conceptualization and prototyping to system deployment and continuous improvement.

Huawei Technologies Co, Ltd.

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Senior Engineer

Moscow, Moscow Oblast, Russian Federation

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Summary

Designed and implemented MLOps solutions on Kubernetes, optimizing deep learning model training and audio codec performance for speech signals.

Highlights

Architected and deployed MLOps pipelines on an on-premises Kubernetes cluster, significantly streamlining the training and deployment of deep learning models.

Optimized deep learning models for speech signal processing, enhancing accuracy and inference speed for critical audio applications.

Improved audio codec efficiency, achieving measurable performance gains in real-time audio processing systems.

Contributed to the development and maintenance of scalable AI infrastructure, supporting multiple research and product development teams.

Bauman Moscow State Technical University

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PhD Student, Teacher Assistant

Moscow, Moscow Oblast, Russian Federation

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Summary

Conducted advanced research as a PhD student while actively contributing to academic instruction through course development, workshops, and student mentorship.

Highlights

Developed and delivered a comprehensive course on 'Intellectual Systems Design,' including curriculum and materials, impacting numerous students.

Conducted multiple workshops and seminars on advanced topics, including a Deep Learning course for Technopark Mail.ru in 2018, reaching a broad audience of aspiring professionals.

Mentored numerous Bachelor's and Master's students, guiding their research projects and fostering their technical development.

Administered a GPU server utilizing the JupyterHub framework, providing essential computational resources for student projects and research activities.

Achieved NVIDIA ambassador certification for computer vision, demonstrating expertise and contributing to the community through specialized workshops.

Zhilishnik of Chertanovo Centralnoe district

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Engineer

Moscow, Moscow Oblast, Russian Federation

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Summary

Provided essential corporate network support and engineered a surveillance system to enhance operational monitoring and efficiency.

Highlights

Managed and maintained corporate network infrastructure, ensuring high availability and seamless operations for district services.

Designed, implemented, and maintained a comprehensive surveillance system for monitoring street cleanliness, improving public service oversight.

Provided technical support and troubleshooting for network-related issues, minimizing downtime and optimizing system performance.

Contributed to the overall IT infrastructure, ensuring robust and reliable systems for critical district functions.

Education

Bauman Moscow State Technical University

Moscow, Moscow Oblast, Russian Federation
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PhD Informatics and Control Systems

Bauman Moscow State Technical University

Moscow, Moscow Oblast, Russian Federation
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Master's Degree Informatics and Control Systems, System Design Engineering

Languages

Russian

English

Certificates

NVIDIA Ambassador for Computer Vision

NVIDIA

Skills

Programming Languages

Python, C++, C++11, Rust, Bash, SQL.

Machine Learning & Deep Learning

PyTorch, Tensorflow, TensorRT, Deep Learning, Computer Vision, MLOps, Speech Signal Processing, Federated Learning.

Tools & Platforms

Kubernetes, Git, JupyterHub, Linux, Qt.

System Design

Intellectual Systems Design, Corporate Network Support, Surveillance Systems.

Projects

Federated System for Nephrectomy Planning (nephro.sechenov.ru)

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Summary

Leading the technical development of a distributed federated system to assist surgeons in planning nephrectomy operations, enhancing medical decision-making and operational efficiency.

Intellectual Systems Design Course Development

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Summary

Developed a comprehensive academic course on 'Intellectual Systems Design' for university students, covering foundational and advanced AI concepts.

Deep Learning Course Instructor (Technopark Mail.ru)

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Summary

Conducted an intensive Deep Learning course at Technopark Mail.ru, educating professionals and students on cutting-edge AI techniques and applications.

Street Cleanliness Surveillance System

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Summary

Designed, created, and maintained a surveillance system for monitoring street cleanliness within the district, improving public service oversight.