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Олександр

Python-програміст, ML Engineer

City of residence:
Kyiv
Ready to work:
Remote

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Oleksandr EDUCATION
Institute for Applied System Analysis
Zalievskyi Igor Sikorsky Kyiv Polytechnic Institute
2025 - 2029

Bachelor's Degree in System Analysis
ML/AI Engineer Ranked among the top 10 IASA students after the first semester.
Awarded an academic scholarship.
CONTACT
Kyiv, Ukraine
PROJECT
zalievskyi.oleksandr_ka51 Future Job Profiler Summer 2026
@edu.kpi.ua Project Lead & Backend Developer | University project
[open contact info](look above in the "contact info" section) Led a three-person team with a frontend developer and DevOps engineer; took ownership
of delivery and technical direction.
github.com/AleksZal
Designed the PostgreSQL schema, developed the FastAPI backend, and implemented the
career-specialty scoring logic.
PROFILE
Coordinated frontend and DevOps integration through Dockerized deployment on Railway.
Second-year Systems Analysis Reached 350+ users after launch.
student interested in machine
Live demo
learning, data-driven products, and
backend engineering. Built and GitHub repository
deployed FastAPI applications and
led project delivery from system
Silpo MCP Hackathon - Balance
design to launch. Open to Backend Developer & Deployment | Hackathon project
opportunities in ML/AI. Built and deployed the backend for an AI nutrition assistant that analyzes Silpo purchase
receipts.
SKILLS Integrated NLP and RAG workflows for personalized nutrition recommendations and
Python, Pandas shopping-basket suggestions.
Classic ML, scikit-learn Live demo

NLP, RAG Kyiv Delivery Logistics Challenge
FastAPI, PostgreSQL
End-to-End Classic ML Project
Docker, Railway
Built a Random Forest pipeline to estimate delivery difficulty from synthetic Kyiv delivery
Git, GitHub data.
Backend Development Performed EDA, trained and evaluated the model (MAE 0.48, RMSE 0.61, R2 0.90), and
LANGUAGES built a Streamlit interface.
GitHub repository
Ukrainian - Native
English - B2 Upper Intermediate CERTIFICATES
EF SET: 59/100, Aug 2026 Machine Learning Specialization Aug 2026
DeepLearning.AI & Stanford Online via Coursera
Completed coursework in supervised and unsupervised learning, recommender systems,
reinforcement learning, and ML development practices.
Credential

Neural Networks and Deep Learning Aug 2026
DeepLearning.AI via Coursera
Completed training in neural networks, model training, and applied machine learning.
Credential

TARGET
Open to opportunities in Machine Learning and AI.

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