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Roman HrabkovRH
Looking for a job

Roman Hrabkov

@romanhrabkov

DevOps trainee seeking a role to apply Linux administration, Bash, and Git while developing cloud automation skills.

Germany
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What I'm looking for

I'm actively seeking a Trainee or Working Student role in DevOps to apply my skills and contribute to a team.

At Khmelnytskyi National University, I trained a YOLOv8 model on a custom dataset annotated from raw drone footage. The model reached a final mAP of 0.575, and I analyzed how real-world data challenges such as class imbalance affected its metrics.

During a computer vision practicum at Khmelnytskyi National University, I participated in work on road-lane detection with OpenCV and human recognition with Dlib. I also worked on object prediction and recognition in photos and videos using ImageAI and OpenCV.

I'm a 2025 Software Engineering graduate with a foundation in Linux administration and practical experience with Git and Bash scripting. I completed PortaOne's Linux & Network Administration course and Google’s Essential Google Cloud Infrastructure: Foundation course.

I'm preparing for the Google Cloud Associate Cloud Engineer certification and learning Terraform and CI/CD fundamentals. I'm actively seeking a Trainee or Working Student role in DevOps where I can apply my skills and contribute to a team.

Experience

Work history, roles, and key accomplishments

KU

Computer Vision Intern (Bachelor Thesis)

Khmelnytskyi National University

Apr 2025 - Jun 2025 (2 months)

- Engineered a custom dataset for object detection by sourcing, selecting, and annotating frames from raw drone video footage, creating a challenging real-world benchmark.
- Trained a YOLOv8 model on this dataset and performed a detailed performance analysis, identifying the impact of real-world data challenges (e.g., class imbalance) on model metrics.
- Achieved a final mAP of 0.575, with the mod

KU

Computer Vision Practice Student

Khmelnytskyi National University

Feb 2023 - Mar 2023 (1 month)

Participated in a practicum centered on software development using modern computer vision technologies, where I worked on detecting road lanes with OpenCV, recognizing humans in images using the Dlib library, and implementing object prediction and recognition in photos and videos with ImageAI and OpenCV.

Education

Degrees, certifications, and relevant coursework

PO

PortaOne

Linux & Network Administration ~200 hours

Jul 2026

Khmelnitsky National University logoKU

Khmelnitsky National University

Bachelor of Technology - BTech, Software Engineering

2021 - 2025

GO

Google

Essential Google Cloud Infrastructure: Foundation

Nov 2025

FI

Free Economy Institute

Fellowship, Economics

2023 - 2024

Year-long fellowship program

- Completed an intensive fellowship program (96 seminar hours) covering economic theory, with a focus on topics like cryptocurrencies and blockchain.
- Developed practical skills in making complex information accessible by authoring analytical articles for a broad audience.
- Received hands-on public speaking training, which I immediately applied in my volunteer lead

GT

Genesis Tech

Internship Course "Creation and Development of IT Products"

Oct 2024

FI

Free Economy Institute

Thought Leadership

Jan 2024

SO

SoftServe

DevOps Crash Course

Dec 2023

NI

National Technical University of Ukraine 'Kyiv Polytechnic Institute'​

Bachelor of Technology - BTech, Software Engineering

2020 - 2021

I transferred from Kyiv Polytechnic Institute to Khmelnytskyi National University due to family circumstances that required me to relocate. This transition has provided me with more opportunities for informal development, particularly in volunteering and economics. While continuing my formal education in software engineering, I've been able to engage more deeply with organizations like Ukrainian S

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