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Максим

Junior software developer

Considering positions: Junior software developer, ML specialist, AI engineer, Junior Java developer, Low code інженер, Data engineer
Age: 20 years
City of residence: Odesa
Ready to work: Remote
Considering positions:
Junior software developer, ML specialist, AI engineer, Junior Java developer, Low code інженер, Data engineer
Age:
20 years
City of residence:
Odesa
Ready to work:
Remote

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MAKSYM
Germany, Moos 78345
[open contact info](look above in the "contact info" section)

GURZHIY [open contact info](look above in the "contact info" section)

SKILLS https://github.com/MaksymGurzhiy/CourseWork
https://github.com/MaksymGurzhiy/Projects
https://github.com/MaksymGurzhiy/Certificates

EXPERIENCE 6 months of professional experience.
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.

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.

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.
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.
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 – B1

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