🇩🇪 Fulda · 3rd‑semester B.Sc. Applied Computer Science @ Hochschule Fulda
🛠️ Backend (Java/Spring) — clean architecture, tests, CI/CD
🛠️ ML/DL

• 📚 Current GPA: 1.4
• 💡 Focus: Java 21 / Spring Boot · Databases (PostgreSQL, NoSQL), rigorous architecture, reliable pipelines, currently expanding into Machine Learning / Deep Learning
• 🧩 Teaming on MassiveMarketManager — joint trading bot project built with ML/AI for DeFi markets
• 🚀 Improving BewerbungBuddy — full-stack app with Spring Boot + OpenAI API for CV analysis
• 🏆 Practicing algorithms on Codeforces: Profile
• 🌍 Languages: 🇷🇺 Russian · 🇩🇪 German (C1) · 🇬🇧 English (B2) · 🇳🇴 Norwegian (beginner)

Collaborative trading bot for DeFi markets powered by ML/AI and smart contract execution.

Stack: Java 21 • Spring Boot • Maven • MapStruct • Lombok • JPA/Hibernate • PostgreSQL • Flyway • Docker • GitHub Actions • GHCR

• Modular architecture with strict layering (API → Service → Persistence)
• Automated CI/CD pipelines (build/test, containerized delivery)
• Road ahead: Basic Backend structure, frontend draft with React

AI-powered career assistant that not only parses CVs and drafts tailored cover letters, but also provides feedback on structure, style, and consistency, as well as highlights missing skills.

Stack: Java 21 • Spring Boot • JPA/PostgreSQL • MapStruct • Docker Compose • GitLab CI/CD • OpenAI API • Bootstrap

• Multi‑module repo (backend + static frontend)
• Strongly typed domain model (CVAnalysis, DTOs, mappers)
• CI/CD and containerized deploy

Student planner backend (MVP) with Spring Boot.

Languages & Frameworks

Tools & Platforms

Also used: Qt · PyQt5 · JavaFX · Assembler (MASM, NASM)

• PyTorch & transformer‑based models
• MLOps (model versioning, monitoring, reproducible pipelines)
• Event‑driven architectures & Kafka

• Collaboration on backend / ML projects
• Internships or part‑time roles in backend, data engineering, or ML