AI/ML engineer & researcher
I work across medical AI, computer vision, deep learning and reinforcement learning — building the models, then the software around them so the work is actually usable.
Open to research collaboration and new engineering work
A medical computer-vision platform for hematology analysis from microscope imagery. The system combines detection, segmentation, and classification into a single diagnostic workflow rather than treating the model as a standalone experiment.
Frame the real problem before touching a model — data, constraints, who uses the result.
Train, evaluate and iterate on the model itself, not just the first version that runs.
Check it against reality, not just a validation split — edge cases included.
Wrap it in an interface and infrastructure someone can actually use day to day.
I'm an AI/ML engineer, researcher and full-stack developer, working between data, modeling, evaluation, interfaces and deployment.
My academic background is in electronics of embedded systems, with research spanning medical imaging, computer vision, deep learning and reinforcement learning.