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Єлизавета
AI engineer
- Age:
- 21 years
- City:
- Kyiv
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Yakovleva Elizaveta
Junior AI / ML Engineer
SUMMARY
Motivated AI/ML Developer with a solid foundation in Computer
Engineering. Experienced in building ML models and integrating them into
distributed web apps. Currently pursuing a Master of Science in Generative
AI. Passionate about time-series forecasting, ML architectures, and full-
stack collaboration.
CONTACT: PROJECTS & EXPERIENCE:
Phone: [open contact info ](look above in the "contact info" section) ML FINANCE PREDICTOR (FORECASTING APP) | PYTHON, FASTAPI, PYTORCH,
Email: [open contact info ](look above in the "contact info" section) DOCKER, REACT
Location: Kyiv, Ukraine / Remote GitHub Repository
GitHub: github.com/liza-yakovleva Developed a distributed web app for forecasting financial instruments.
Architected an ML service to train and serve ARIMA, Prophet, LSTM, and
SKILLS: Transformer models.
Engineered a resilient data pipeline with fallback among Binance, Yahoo
ML & AI: PyTorch, pandas, scikit-learn,
Finance, and a local cache.
Prophet, ARIMA, LSTM, Transformer, Implemented walk-forward validation for objective model comparison.
Generative AI.
Backend & MLOps: Python, FastAPI, ACADEMIC AI / ML PROJECTS | PYTHON, PYTORCH
SQLAlchemy, SQLite, Docker, REST API. Colab 1 | Colab 2 | Colab 3
Frontend (Additional): React.js, Researched and implemented Generative AI architectures as part of the
Master's curriculum.
TypeScript, JavaScript, TailwindCSS,
Conducted experiments involving data preprocessing, model fine-tuning,
HTML/CSS.
and validation.
Tools: Git, Docker Compose, Figma.
HELPDESK / TICKETING SYSTEM | LEAD & ARCHITECT | ELECTRON, VUE 3, VITE
EDUCATION: GitHub Repository
TARAS SHEVCHENKO NATIONAL Led a 6-person team to build a production-oriented corporate ticketing tool
UNIVERSITY OF KYIV with SLA tracking.
Master of Science in Computer Science Designed application architecture, Electron Main process, and IPC
(Generative AI) communication.
Sep 2026 – Present (Expected 2028) Implemented JSON/SQLite data storage logic in collaboration with the
backend team.
Bachelor of Science in Computer
Engineering
Sep 2022 – Jun 2026 LANGUAGE:
Ukrainian – Native
English – Intermediate / B1
Junior AI / ML Engineer
SUMMARY
Motivated AI/ML Developer with a solid foundation in Computer
Engineering. Experienced in building ML models and integrating them into
distributed web apps. Currently pursuing a Master of Science in Generative
AI. Passionate about time-series forecasting, ML architectures, and full-
stack collaboration.
CONTACT: PROJECTS & EXPERIENCE:
Phone: [
Email: [
Location: Kyiv, Ukraine / Remote GitHub Repository
GitHub: github.com/liza-yakovleva Developed a distributed web app for forecasting financial instruments.
Architected an ML service to train and serve ARIMA, Prophet, LSTM, and
SKILLS: Transformer models.
Engineered a resilient data pipeline with fallback among Binance, Yahoo
ML & AI: PyTorch, pandas, scikit-learn,
Finance, and a local cache.
Prophet, ARIMA, LSTM, Transformer, Implemented walk-forward validation for objective model comparison.
Generative AI.
Backend & MLOps: Python, FastAPI, ACADEMIC AI / ML PROJECTS | PYTHON, PYTORCH
SQLAlchemy, SQLite, Docker, REST API. Colab 1 | Colab 2 | Colab 3
Frontend (Additional): React.js, Researched and implemented Generative AI architectures as part of the
Master's curriculum.
TypeScript, JavaScript, TailwindCSS,
Conducted experiments involving data preprocessing, model fine-tuning,
HTML/CSS.
and validation.
Tools: Git, Docker Compose, Figma.
HELPDESK / TICKETING SYSTEM | LEAD & ARCHITECT | ELECTRON, VUE 3, VITE
EDUCATION: GitHub Repository
TARAS SHEVCHENKO NATIONAL Led a 6-person team to build a production-oriented corporate ticketing tool
UNIVERSITY OF KYIV with SLA tracking.
Master of Science in Computer Science Designed application architecture, Electron Main process, and IPC
(Generative AI) communication.
Sep 2026 – Present (Expected 2028) Implemented JSON/SQLite data storage logic in collaboration with the
backend team.
Bachelor of Science in Computer
Engineering
Sep 2022 – Jun 2026 LANGUAGE:
Ukrainian – Native
English – Intermediate / B1
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