Анастасія

ANASTASIIA ZHUKOVA
Python AI Engineer
Backend Systems • Machine Learning • AI
Automation
[open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section)
ABOUT ME EXPERIENCE
Backend / Integration Engineer
focused on AI-driven automation and Backend / AI Integration Engineer October 2025 – Present
data systems. IT company — LLC «ANNUNZIATA» Kyiv, Ukraine
Experienced in backend integrations, Developed Python backend integrations for e-commerce marketplaces, fintech
AI-powered workflows, and building APIs and legal data systems

reliable, scalable solutions for real- Designed scalable AI pipeline architectures for integrating LLM-based
automation into backend production systems
world applications.
Implemented REST API integrations, data pipelines, monitoring and automated
EDUCATION
reporting
Student in Computer Science
Orchestrated automation and AI workflows using n8n and Azure cloud services
Loyola Marymount University
August 2024 to Present Machine Learning Engineer - HAR October 2024 – August 2025
Loyola Marymount University & Hexoskin — Los Angeles, CA
High school diploma with honors
Los Angeles Senior High School Built an end-to-end ML system for Human Activity Recognition using wearable
accelerometer data
June 2024
Developed an ENMO-based engine converting accelerometer streams into MET
High school diploma (gold medal)
and calorie expenditure estimates
Lyceum Obolon-Kyiv
Designed ML pipelines for activity recognition and physical activity prediction
September 2012 to June 2023 using multi-modal wearable sensor data

SKILLS Implemented Python pipelines for time-series preprocessing, signal alignment and
sensor fusion
Python, Java, PHP, .NET (C#), FastAPI,
Trained models to estimate activity intensity, calorie burn and predicted physical
Django, REST APIs, API integrations.
performance capacity
PostgreSQL, MongoDB, SQL, data
Deployed ML analytics pipelines integrated into the Hexoskin wearable platform
pipelines. and application via backend APIs
Machine Learning, Deep Learning,
AI / Machine Learning Engineer May 2023 – Present
Generative AI, Human Activity
Freecurve Labs/CMU — Remote
Recognition, RAG systems, AI
automation. Developed Boltzmann Generator models using invertible neural networks for

LangChain, Azure AI services, LLM-based molecular simulations in drug discovery and molecular modeling
Built Python ML pipelines for data preprocessing, model training, latent space
workflows.
sampling and evaluation
Azure, AWS, CI/CD pipelines, cloud-
Implemented probabilistic generative models for molecular configuration
based workflows.
sampling in drug discovery pipelines
JavaScript, HTML, CSS, React (basic).
Automated experimentation workflows and deployed ML pipelines on AWS cloud
NumPy, Pandas, scikit-learn, time-series infrastructure with API-based integration for scalable training and evaluation
processing, sensor data analysis.
Python & Web Development Intern May 2022 – August 2022
Git, API testing, n8n orchestration,
Infopulse — Kyiv, Ukraine
monitoring and automation pipelines.
Developed web and backend components using HTML, CSS, JavaScript, Python,
LANGUAGES and PHP.

Ukrainian (native) Implemented frontend–backend integrations, API communication, and data
processing.
Russian (native)
Built automation scripts to streamline internal workflows.
English (fluent)
Maintained and extended existing PHP-based functionality.
German (advanced)
Improved UI/UX, responsiveness, and application performance.
Spanish (advanced) Used Git for version control and team collaboration.