Elizaveta Saigina

About Elizaveta Saigina

Math is the queen of science\"A belief that propelled my journey from a foundation in applied mathematics and physics to spearheading AI innovation. With a Master’s in Information Science and Technology from Skoltech, focusing on Data Science, I ventured into the AI realm, blending technical expertise with real-world solutions. My tenure at Haut.AI, where I developed transformative ML models for the beauty industry, underscored my ability to turn complex data science concepts into actionable business insights.Embarking on entrepreneurship, I co-founded Wardrobers, leveraging AI for sustainable fashion, demonstrating my prowess in leading, innovating, and navigating the startup ecosystem. This endeavor highlights my commitment to ethical technology use, marrying data science with practical applications for societal benefit. My current pursuit of a Master’s in International Business at Hult International Business School sharpens my product management and leadership skills, preparing me for impactful roles at the intersection of technology and business.As I seek opportunities in the U.S, particularly in AI and machine learning, I bring a unique blend of deep technical knowledge and entrepreneurial acumen. My background equips me to transform AI innovations into tangible products and services, aiming to contribute to projects that not only advance the field but do so ethically and sustainably. Languages: English, Russian, German (beginner), Spanish (beginner).Professional Technical Skills: • AI & Machine Learning: Python (PyTorch, Catalyst, PyTorch Lightning, Timm, Segmentation_models, OpenCV, Keras, ONNX, Openvino, Statsmodels, Scikit-learn, Seaborn, Matplotlib, Plotly, Tensorboard, SHAP).• Cloud & DevOps: Azure ML, Docker, Kubernetes, Git, GitLab CI, Sentry, Yaml, JSON, Black, Flake8, Wemake.• Data Management, Engineering & Visualization: SQL, CVAT, Toloka, Tableau.• Web Development & APIs: FastAPI, Pydantic, JavaScript, API Documentation.• Software Engineering & Project Management: Jira, Git Documentation, Confluence.Additional Technical Skills: Microsoft Office (Excel, Word, PowerPoint, Outlook), Adobe (Photoshop, Illustrator, XD), Figma.Certifications: Machine Learning by Stanford University (Coursera), Mathematics for Machine Learning by Imperial College (Coursera), Advanced Computer Vision (Virtual in Russia) Course.

Experience

1. Computer Vision Engineer

   Mars

   Oct 2024 — Present

Education

• Moscow Institute of Physics and Technology (State University) (MIPT)

  Bachelor of Science - BS, Applied Mathematics and Physics

• Hult International Business School

  Master of Science - MS, International Business

• Skolkovo Institute of Science and Technology

  Master of Science - MS, Information Science and Technology