Максим
Middle software developer
- Розглядає посади:
- Middle software developer, ML specialist, AI engineer, Middle Java developer, Python developer, Data engineer
- Вік:
- 20 років
- Місто проживання:
- Одеса
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав телефон та ел. пошту.
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/14949280/
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Germany, Moos 78345
[
GURZHIY [
SKILLS https://github.com/MaksymGurzhiy/CourseWork
https://github.com/MaksymGurzhiy/Projects
https://github.com/MaksymGurzhiy/Certificates
EXPERIENCE 3 year of professional experience.
Full-Stack Web Development
Built 5+ production applications using React, TypeScript, Node.js, FastAPI
(Python), and Express.js. Developed RESTful APIs with JWT authentication,
OAuth 2.0 integration for multiple social media platforms (LinkedIn, Twitter,
Facebook, Instagram, TikTok), and AI services (Google Gemini AI,
ElevenLabs).
Deployed applications on Railway and Vercel with Docker containerization
and CI/CD pipelines. Integrated Google Sheets API, Supabase (PostgreSQL)
and Cloudinary for media handling. Built responsive UIs with Tailwind CSS,
multilingual support and RTL layouts
Machine Learning
Designed and trained machine learning models, including logistic regression
and K-Nearest Neighbors (k-NN) to predict income. Applied cross-validation
and hyperparameter tuning to optimize model performance. Applied
clustering algorithms such as K-means and Agglomerative Clustering to
segment data into groups based on similarities. Evaluated clustering
performance using Silhouette Score, Calinski-Harabasz Score, and Davies-
Bouldin Score.
Deep Learning & NLP
Designed and trained deep learning models using TensorFlow, including
fully-connected, convolutional, and recurrent neural networks. Implemented
NLP tasks such as sentiment analysis and text generation using LSTM and
Transformers (BERT, GPT). Applied techniques like transfer learning, data
augmentation, regularization, and Batch Normalization to enhance model
performance. Conducted hyperparameter tuning and analyzed results for
image classification and time-series forecasting
Web Scraping & Automation
Automated processing of 500+ products using Puppeteer for browser
automation and dynamic content scraping. Solved critical memory leak by
optimizing from 200+ concurrent Chromium processes to single reusable
instance. Implemented error recovery, quota management, and real-time
status tracking.
Backend & API Development
Developed Java based REST APIs and webservices using Spring Security.
Database development experience in PostgreSQL, MySQL, Oracle Database.
Developed a public transport route database with the capability to store the
topological scheme of routes. Created document-oriented data models.
Experience with JSON and XML.
Algorithms & Data Structures
Implementation and optimization of sorting algorithms: Iterative Merge Sort,
Quicksort. Search algorithms: Sequential search (Brute force), Boyer-Moore
string-search. Experience with hash tables, graph algorithms as well as usage
of binary trees and Red-Black Trees.
EDUCATION Odesа Polytechnic National University
2022 – Expected May 2026
Odesa Gymnasium No.1
2011 – 2022
Completed DigiJED-3: ML
and DL courses with 96 and
99 points
LANGUAGE English – B2 Russian – native
Ukrainian – native German – B2
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