Experience & Education

Freelance services in AI, automation, data processing and custom software development.

• Designed Python-based automation and data-processing solutions.
• Developed AI and computer-vision prototypes — including a presence-detection system distinguishing known users from new entrants (CNN, YOLO).
• Built custom software tools based on client requirements.
• Integrated databases, APIs and business processes.
• Tested, documented and maintained developed solutions.
• Worked directly with clients to define requirements and translate business needs into technical solutions.

Autonomous end-to-end R&D project: data preparation, model experimentation, evaluation, post-processing, visualization and result export.

• Prepared and processed 3D MRI data: normalization, interpolation, resampling, filtering and data augmentation.
• Evaluated 2D and 3D U-Net architectures before developing a YOLOv8-based instance-segmentation pipeline.
• Trained and evaluated detection/segmentation models on MRI data from multiple patients.
• ~90% precision and 86% recall achieved on segmentation masks and bounding boxes on the evaluation dataset.
• Built post-processing methods to compute follicle dimensions, volume, location and count, with a rule for flagging potential cysts based on diameter.
• Built a Python interface to visualize results and export CSV reports and annotated videos.
• Collaborated with clinicians to define medical requirements and validate results.
• Reduced analysis time from roughly 10 minutes manual to ~10 seconds automated.

IT support for members and management of digital tools; contributed to development and maintenance of the association's website backend; ran information sessions on AI and cybersecurity.

Immersion in medical services, the operating room and the lab — observed hospital workflows, imaging processes (MRI, ultrasound, radiology) and lab analyses (hematology, biochemistry, microbiology).

Regular visits to a retirement home, sharing memories and conversation during holidays and everyday moments with residents.