Олександр

OLEKSANDR SHOVKOPLIAS
Kyiv, Ukraine · [open contact info](look above in the "contact info" section) · [open contact info](look above in the "contact info" section)
LinkedIn: [open contact info](look above in the "contact info" section)

SUMMARY
Physics BSc student with strong Python (NumPy, Pandas, SciPy) and applied ML. Completing
Google Cloud’s Professional ML Engineer path (Vertex AI, BigQuery ML, MLOps). Comfortable with
Git/Linux; English B2. Ready for a Junior AI/ML role focused on model development, data pipelines,
and evaluation.

WORK AND PROJECT EXPERIENCE
Associate Content Specialist in EPAM (part-time) < 1 year
Assure the quality of the developed content in physics.
Develop assignments in physics and mathematics for the students of American schools,
colleges, and universities (creating algorithms, solutions, and feedback).

Cardiac Valve Dysfunction Detection from Video Scans Summer 2025
Train a Convolutional Neural Network model to identify potential valve malfunction from
cardiac scan videos.
Use Python (NumPy, Pandas, SciPy, Albumentations), Qflow

EDUCATION

Bachelor of Science in Fundamental Physics Sep 2022 - now
Taras Shevchenko National University of Kyiv | Faculty of Physics
Relevant topics: linear algebra, probability & statistics, numerical methods, programming
(C++, Python)
Thesis (in progress) on "ML Approaches for Intrinsically Disordered Protein Classification".
GPA: 99.1/100

Professional ML Engineer Certification Learning Path 2025 (in progress)
Google Cloud Skills Boost
Coverage: Vertex AI (Workbench, Pipelines, Prediction, Experiments/Registry, Monitoring),
BigQuery ML, GenAI on foundation models; MLOps; Responsible AI.

HARD AND SOFT SKILLS
Tools: Python (NumPy, Pandas); C++ (basic); GCP (Vertex AI, BigQuery ML, GenAI API); Git;
Jira
Languages: English (B2), Ukrainian (native)
Technical Skills: prompt engineering; model fine-tuning concepts; Responsible AI; LLM
architecture; 5+ years Linux experience