Sep 2026 — Present
Ph.D. · Artificial Intelligence
University of Tabriz
Computer Engineering, with a research direction in deep learning and medical image processing.
React, TypeScript & Next.js
Structure, state & data flows
Code review & mentoring
Web, Electron & Node.js
At Husan since August 2022, combining technical leadership with hands-on frontend engineering.
Project case studies
At Husan since
Co-authored publication
Medical imaging research
I work where product needs meet engineering decisions, with responsibility for both the foundation and the final frontend experience.
I work with product and backend teams to clarify requirements, review API contracts, and choose practical solutions before implementation.
Modular architecture, reusable forms, typed data layers, and clear permissions keep complex products consistent as requirements evolve.
Hands-on development, thoughtful code reviews, mentoring, and production monitoring connect architectural decisions to the final experience.
I lead frontend architecture at Husan, mentor developers, review code, and collaborate on requirements, API contracts, and system flows.
My production work spans healthcare, telemedicine, education, sales operations, connected devices, and AI-assisted experiences. I value clear boundaries, reusable foundations, and solutions that remain practical as a product grows.
Frontend Manager & Developer
I lead frontend technical decisions while remaining hands-on with implementation, from initial requirements to final delivery.
Sep 2026 — Present
University of Tabriz
Computer Engineering, with a research direction in deep learning and medical image processing.
Oct 2024 — Sep 2026
University of Tabriz
Self-supervised learning and pseudo-label refinement for medical image segmentation.
Oct 2020 — Sep 2023
University of Tabriz
A foundation in computer engineering and software development.
A closer look at the architecture, decisions, and frontend work behind products built for demanding real-world workflows.
A shared foundation for public healthcare
Alongside frontend engineering, my academic work explores how deep learning can make better use of limited medical-image annotations.
Google ScholarSelf-Supervised Learning with Pseudo Label Refinement for Medical Image Segmentation
My research explored SEAL, a self-supervised pretraining framework for 3D CT images. It combines anatomical deformation with contextual learning to preserve spatial information. Evaluation on BTCV showed improvements over training from scratch, including with limited labeled data.
A2RCMatch: dual-attention framework for reliable sample selection and consistency regularization in semi-supervised learning
Published in Information Sciences. I contributed to research on using dual attention, reliable sample selection, and consistency regularization to improve learning from a combination of labeled and unlabeled data.
Have a product challenge, a frontend architecture question, or an opportunity to collaborate? I’d be glad to hear from you.
developer.pouya.afraz@gmail.com ↗