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Maxim Severyn Python Developer
[открыть контакты ](см. выше в блоке «контактная информация») [открыть контакты ](см. выше в блоке «контактная информация»)
Ukraine, Sumy region github.com/MaximSeveryn
[открыть контакты ](см. выше в блоке «контактная информация»)
Profile
Passionate and detail-oriented Python Developer with hands-on experience in AI/ML
solutions development. Strong background in designing and implementing efficient
algorithms for data processing and model optimization. Experienced in building scalable
applications with integrated machine learning capabilities.
Familiar with modern AI/ML frameworks and libraries, with solid understanding of software
development best practices. Continuously exploring new technologies to enhance system
performance and functionality.
Education
Master's Degree in Computer Science 09/2018 – 01/2024 | Kyiv, Ukraine
National Technical UniversityofUkraine 'Igor Sikorsky
Kyiv PolytechnicInstitute'
Professional Experience
Python Developer 10/2022 – 03/2025
UsDev Brokers
Developed API integrations for CRM and payment systems, enabling real-time data
•
synchronization across platforms
Built web scraping solutions with dynamic content handling and anti-blocking
•
mechanisms for market research
Created custom API gateways to serve machine learning models with real-time inference
•
capabilities
Established automated data pipelines for model training with feature engineering and
•
validation workflows
Implemented hybrid automation tools combining scraping, APIs and predictive models for
•
business insights
Skills
Python (v3.11+) (Asynchronous programming (asyncio) | OOP design patterns |
Performance optimization (profiling, multiprocessing))
Web Scraping & Automation (Static scraping: requests + BeautifulSoup/parsel |
Dynamic scraping: Playwright (multi-browser support) | Scaling: Rotating proxies,
CAPTCHA solvers)
API Development (FastAPI for high-performance APIs | WebSocket implementations
(websockets lib) | API authentication (JWT, OAuth2))
Databases (PostgreSQL (optimal for transactional data + AI workflows) | Redis
(caching, rate limiting, real-time data) | SQLAlchemy/asyncpg for ORM/async access)
Bot Development (elegram bots (aiogram/python-telegram-bot) | Discord bots
(discord.py) | Browser automation bots (pyppeteer))
Data Processing & Analysis (pandas (DataFrames, time series) | numpy (vectorized
operations) | matplotlib/seaborn (static plots))
Core ML (scikit-learn (pipelines, model selection) | imbalanced-learn (resampling
techniques) | optuna (hyperparameter tuning))
Deep Learning (tensorflow/keras (production-grade) | pytorch (research flexibility) |
Diffusion models (Stable Diffusion, DALL·E clones))
NLP (transformers (HuggingFace ecosystem) | gensim (topic modeling) | spacy
(industrial-strength NLP))
CV (opencv (image processing) | albumentations (augmentations) | scikit-image
(advanced algorithms))
Version Control Systems (Git (branching strategies, conflict resolution,
submodules)GitHub/GitLab (CI/CD integration, Actions, issue tracking))
Languages
Ukrainian (Native) English (Proficient)
[
Ukraine, Sumy region github.com/MaximSeveryn
[
Profile
Passionate and detail-oriented Python Developer with hands-on experience in AI/ML
solutions development. Strong background in designing and implementing efficient
algorithms for data processing and model optimization. Experienced in building scalable
applications with integrated machine learning capabilities.
Familiar with modern AI/ML frameworks and libraries, with solid understanding of software
development best practices. Continuously exploring new technologies to enhance system
performance and functionality.
Education
Master's Degree in Computer Science 09/2018 – 01/2024 | Kyiv, Ukraine
National Technical UniversityofUkraine 'Igor Sikorsky
Kyiv PolytechnicInstitute'
Professional Experience
Python Developer 10/2022 – 03/2025
UsDev Brokers
Developed API integrations for CRM and payment systems, enabling real-time data
•
synchronization across platforms
Built web scraping solutions with dynamic content handling and anti-blocking
•
mechanisms for market research
Created custom API gateways to serve machine learning models with real-time inference
•
capabilities
Established automated data pipelines for model training with feature engineering and
•
validation workflows
Implemented hybrid automation tools combining scraping, APIs and predictive models for
•
business insights
Skills
Python (v3.11+) (Asynchronous programming (asyncio) | OOP design patterns |
Performance optimization (profiling, multiprocessing))
Web Scraping & Automation (Static scraping: requests + BeautifulSoup/parsel |
Dynamic scraping: Playwright (multi-browser support) | Scaling: Rotating proxies,
CAPTCHA solvers)
API Development (FastAPI for high-performance APIs | WebSocket implementations
(websockets lib) | API authentication (JWT, OAuth2))
Databases (PostgreSQL (optimal for transactional data + AI workflows) | Redis
(caching, rate limiting, real-time data) | SQLAlchemy/asyncpg for ORM/async access)
Bot Development (elegram bots (aiogram/python-telegram-bot) | Discord bots
(discord.py) | Browser automation bots (pyppeteer))
Data Processing & Analysis (pandas (DataFrames, time series) | numpy (vectorized
operations) | matplotlib/seaborn (static plots))
Core ML (scikit-learn (pipelines, model selection) | imbalanced-learn (resampling
techniques) | optuna (hyperparameter tuning))
Deep Learning (tensorflow/keras (production-grade) | pytorch (research flexibility) |
Diffusion models (Stable Diffusion, DALL·E clones))
NLP (transformers (HuggingFace ecosystem) | gensim (topic modeling) | spacy
(industrial-strength NLP))
CV (opencv (image processing) | albumentations (augmentations) | scikit-image
(advanced algorithms))
Version Control Systems (Git (branching strategies, conflict resolution,
submodules)GitHub/GitLab (CI/CD integration, Actions, issue tracking))
Languages
Ukrainian (Native) English (Proficient)