Background
Experience
Research and product experience across agentic AI, computer vision, NLP, and machine learning education.
Industry
- Develop machine-learning and AI functionality for production systems, with a focus on computer vision and agentic workflows.
- Integrated an object-detection model into a CI/CD pipeline and improved overall accuracy by 9%.
- Researched vision-only methods for constructing hierarchical representations of macOS interfaces.
- Co-authored Screen2AX and developed open-source tooling for macOS accessibility-tree extraction.
- Contributed to computer-use agent research and internal paper discussions.
Academic
- Worked on computer-use agents, satellite-image analysis, OCR, and generative computer-vision projects.
- Collaborated with Balbek Bureau on AI-assisted reconstruction of war-damaged buildings.
- Taught seminars and supported students in Discrete Mathematics, Probability & Statistics, Linear Algebra, and Mathematical Methods of Machine Learning.
- Prepared assignments, graded work, ran consultations, and mentored course projects.