Олексій

OLEKSII HRYSHKO

Gliwice, Poland (Open to Relocation / Hybrid) | [відкрити контакти](див. вище в блоці «контактна інформація»)

LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація») | GitHub: github.com/OleksiyHryshko | LeetCode:
leetcode.com/u/BadCast/

SUMMARY

Computer Science student (graduating February 2028) with a strong foundation in backend
architecture, data engineering, and algorithmic optimization. Proficient in Java, Python, and
C++. Experienced in building API-integrated microservices, automated real-time data
pipelines, and low-level data structures. Proactive problem-solver accustomed to Agile
environments, clean code principles, and integrating AI to streamline complex system
operations.

EDUCATION & CERTIFICATIONS

Silesian University of Technology (Politechnika Śląska) | Gliwice, Poland

Bachelor of Science in Computer Science (Informatics) | Sep 2024 – Expected February
2028

● Core: Distributed Systems, Computer Networks (TCP/IP), Algorithms & Data
Structures.

Polytechnic University of Valencia (UPV) | Valencia, Spain

Erasmus+ Exchange Program | Feb 2026 – Jul 2026

● Focus: AI & Data Analysis in Cybersecurity, Concurrency, Distributed Systems.

EPAM Systems | Remote

Java Fundamentals Certification (174-Hour Program) | May 2026 – Aug 2026

● Focus: OOP Design Patterns, Spring Ecosystem, Multithreading, Clean Code, and
Unit Testing.

SKILLS

● Programming Languages: Java (17/21), Python, C++ (17/20), SQL, Bash
● Backend & Architecture: Spring Boot, RESTful APIs, Apache Kafka, Microservices
● Data & AI: Pandas, NumPy, Machine Learning concepts, Google Gemini API,
PostgreSQL
● DevOps & IT Operations: Linux/Unix, Docker, Git, CI/CD (GitHub Actions), System
Monitoring
● Engineering Practices: Test-Driven Development (JUnit/GTest), Memory
Management, Agile/Scrum

● Languages: English (Advanced/C1), Polish (Upper-Intermediate/B2),
Ukrainian/Russian (Native)

SOFTWARE ENGINEERING & DATA PROJECTS

Autonomous AI Event Monitor & Data Pipeline | Java 21, Spring Boot, Gemini API, REST
APIs

● Engineered a backend monitoring agent that continuously scans live network APIs to
source real-time data, simulating enterprise data ingestion pipelines.
● Integrated Google Gemini AI to parse complex, unstructured data logs into structured
geospatial and temporal reports using precise prompt engineering.
● Implemented automated Telegram alerts and database synchronization
(PostgreSQL), ensuring immediate incident notification and high system reliability.

Real-Time AI Fraud Detection System | Python, Pandas, NumPy, Machine Learning

● Developed a real-time AI security checker during Erasmus studies (UPV) to
continuously monitor and analyze financial data streams for fraudulent transactions.
● Processed and transformed complex datasets using Pandas and NumPy, executing
high-speed data aggregation to identify critical security anomalies.
● Visualized analytical outcomes and maintained structured transaction records to
support data-driven decision-making and risk mitigation.

Low-Level Algorithmic Optimization & Core C++ | C++20, Linux, Memory Management,
GTest

● Engineered custom probabilistic data structures (Skip Lists, Huffman Coding) from
scratch, enforcing rigorous manual memory management and pointer logic.
● Profiled search and insertion functions against the highly optimized
std::multiset, executing strict Big-O complexity analysis to balance time and
space efficiency.
● Authored comprehensive unit tests (GTest) and implemented binary file serialization
for fast data persistence across application lifecycles.