Daniil Eliseev
@daniileliseev
Senior data scientist focused on computer vision and production AI systems.
Russian FederationWhat I'm looking for
I build production-ready machine learning and computer vision solutions, turning hypotheses into deployed services. Most recently, I work as a Senior Data Scientist in computer vision roles, with experience spanning industries and model deployment.
Earlier roles strengthened my full-stack AI practice: at a crypto NFT startup I designed and deployed production models, launched 20+ backend services in six months, and maintained production infrastructure with Docker and Nginx. I also developed recognition services (objects, locations, people, and clothing), supported data labeling workflows, and trained models for classification, detection, and metric learning.
Experience
Work history, roles, and key accomplishments
Worked as Senior Data Scientist Computer vision at UC RUSAL.
Senior Data Scientist
UC RUSAL
Sep 2023 - Present (2 years 10 months)
Senior Data Scientist focused on computer vision.
Senior Data Scientist
NLMK Group
Mar 2023 - Sep 2023 (6 months)
Senior Data Scientist (Computer Vision).
Worked as Senior Data Scientist CV at NLMK Group.
Crypto NFT Startup
Worked on rapid validation of business hypotheses by designing and deploying production-ready AI and backend systems.
Key contributions:
1. Built and deployed machine learning models into production
2. Developed and launched 20+ backend services within six months
3. Designed and maintained production infrastructure using Docker and Nginx
4. Prepared and configured servers for sc
Service for recognition of objects, locations and people in frame and photo.
Engaged in:
1. Development and support of clothing recognition services.
2. Control of contractors by marking data, preparation of data.
3. Training of models by problems classification, detection, metric learning
Technology: FastApi, aiohttp, pytorch.
Data preparation, hypothesis testing, product development
1. Classification of psychopaths.
1.1. Project management. Conducting interviews. Decomposition and delegation of tasks.
1.2. Classification in pictures.
1.3. Classification on audio (CNN, RNN).
1.4. Classification on video (ResNet, Motion-Augmented RGB Stream for Action
Recognition, Representation Flow for Action Recognition)
Data Scientist
Expasoft LLC
Nov 2019 - Mar 2021 (1 year 4 months)
Performed data preparation and hypothesis testing for computer-vision/document-processing projects, including detection, key-point detection, field segmentation, quantization of neural networks, and automation scripts.
Data preparation, hypothesis testing
2. Document processing.
2.1. Customizing data. Writing instructions to marksmen, checking and tracking their
work. Automatically search for markup errors. Convert data to the desired formats, and
then partitioning and filtering them.
2.2. Detection of key points. Choice of architecture, augmentation, optimizer,
hipper parameters, metrics.
2.3. Document field se
Education
Degrees, certifications, and relevant coursework
Siberian State University of Telecommunications and Information Science
Бакалавр, Информатика и вычислительная техника
Siberian State University of Telecommunications and Information Science
Bachelor, Informatics and Computer Engineering
Studied Informatics and Computer Engineering as part of a Bachelor's degree at Siberian State University of Telecommunications and Information Science in 2025.
Tech stack
Software and tools used professionally
Availability
Location
Russian FederationAuthorized to work in
Job categories
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