Anna

Anna Mamchych
ML Engineer
[open contact info](look above in the "contact info" section) | LinkedIn | GitHub | Portfolio |
PROFILE
Junior Machine Learning Engineer with hands-on experience building and deploying CNN-based models for medical image classification. Developed end-to-end ML pipelines, including
data preprocessing, model training, and on-device deployment using TensorFlow Lite.Strong foundation in statistics and data analysis, with practical experience in Python, SQL, and
Docker. Interested in building production-ready ML systems and deploying models into real-world applications.
EXPERIENCE
Mobile ML Developer
Adam Mickiewicz University
10/2025 – 01/2026
Academic Team Project
• Developed a mobile application using Flutter and Dart with integrated TensorFlow Lite image classification model.
• Implemented on-device machine learning inference for real-time image-based object recognition.
• Collaborated within a 4-member Agile team using Scrum - managed tasks via Jira, maintained version control with Git, actively participating in code reviews and sprint
workflows.
• Delivered project presentations to academic staff and industry stakeholders, clearly communicating technical concepts and results.
Machine Learning Researcher
Adam Mickiewicz University & ID-UB
04/2025 – 11/2025
Grant-funded project
• Conducted machine learning research within the Excellence Initiative – Research University grant program.
• Collected, cleaned, and preprocessed CT imaging data; created and published an annotated dataset on Kaggle (140+ img).
• Trained and evaluated multiple CNN-based models for rare brain pathology detection, achieving >90% accuracy.
• Built data processing and image analysis pipelines in Python using OpenCV and NumPy.
Programming Trainer (Children & Youth)
Coding Giants
03/2025 – Present
• Delivered programming courses for children and teenagers, covering Python, ML/AI fundamentals, C++, C#, HTML, and Scratch.
• Designed and adapted educational materials to different skill levels, improving student engagement and comprehension.
IT Department Intern
PEPCO
06/2023 – 08/2023
• Processed, transformed, and analyzed business data to support operational decision-making.
• Utilized advanced Excel features (functions, Pivot Tables) and ERP systems for data management and reporting.
• Developed interactive dashboards and reports using Power BI.
PROJECTS
• Mobile app with Machine Learning “Wasted”
The main idea of the project was to create an application that would help determine which bin to throw garbage in. As well as spread awareness of the importance of
proper garbage sorting and caring for the environment.The program allows to take a photo and, using a trained classifier, identify which trash can to throw the object in. In
addition, the application provides information about trash cans, what you can/cannot throw in them. There is also a quiz available to help you test your knowledge.
• Fahr’s disease detection with Deep Learning
This project aimed to investigate the effectiveness of various CNNs in detecting a rare brain pathology - Fahr's disease, using CT images. As part of the study, a new unique
dataset was created, which will soon be available on Kaggle. The research was funded by grant as part of the "Excellence Initiative - Research University" project and in
collaboration with Professor of Adam Mickiewicz University in Poznań.
• Statistical analysis of the impact of the introduction of the "Safe Credit 2%" program on apartment prices in Poland with Python
This project aimed to show how the government's "Safe Credit 2%" programme has affected housing prices in Poland. The analysis used data on housing prices from 2010
to 2022 in the 5 largest cities of Poland, taken from the GUS website, as well as data for 2023 on housing prices from Kaggle. The research used multiple regression analysis and
repeated measures analysis.
SKILLS
Python (Numpy, Pandas, Scikit-learn, Requests, Flask, OpenCV, TensorFlow, PyTorch, REST API); R, C++, SQL (PostgreSQL), NoSQL (MongoDB, Neo4j), Docker
EDUCATION
MSc in Data Science (Data Analysis and Processing) The Adam Mickiewicz University of Poznan 2021 – present
BSc in Statistics and Data Analysis The Adam Mickiewicz University of Poznan 2021 – 2024
BSc in System Analysis and Management (Data Science) Foreign University 2020 – 2024
COURSES
Deep Learning for Bioscientists The University of Nottingham
Convolutional Neural Networks for Medical Images Diagnosis Udemy
Applications of AI for Anomaly Detection; Getting Started with Deep Learning NVIDIA
ADDITIONAL ACTIVITIES
Speaker at:
LIV International Biometrical Colloquium Conference - "Comparing Machine Learning Methods in Detecting Fahr's Disease"
Polish National Conference of Mathematics Students "Oblicze" - "Gradient, but it's not about colors - gradient methods beyond mathematics"
Poznań Festival of Science and Art - "With Great Power Comes Great Responsibility! Artificial Intelligence in Creativity"
Vice President of KNM – Koło Naukowe Matematyków (Scientific Circle of Mathematicians), member of AI Star Scientific Circle.
Member of the Data Analysis and Processing Curriculum Committee
Volunteer at “I Love Marketing & Technology” Conference - Supporting the conference organization and coordinating the event
ACHIEVEMENTS
Study@Research XI Edition - Laureate of the Excellence initiative- Research University (ID-UB) grant program.
Women in Tech Camp - Participant of a 4-day camp for the most talented STEM students from Polish universities.
New Technologies for Women - Laureate of the NTDD grant program prize sponsored by Intel and Perspektywy.
LANGUAGES
Polish – Fluent | English – Advanced | Italian – Beginner
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