About

Engineering foundations. Scientific questions.

I am a machine learning researcher and software engineer interested in how inspectable methods and dependable systems can improve work with high-stakes data.

Trajectory

From production systems to learning under uncertainty.

01

Engineering foundation

Computer engineering at Sharif University of Technology and subsequent software roles made reliability, testing, and operational constraints part of how I frame a problem.

02

Machine-learning specialization

An MSc in Artificial Intelligence shifted the emphasis from building software alone to studying how learning systems behave under scarce data and consequential errors.

03

Biomedical research

Two 2026 studies examine an ECG kernel and an FCA-constrained clinical-risk model. Both ask how useful structure can be designed into the method.

04

Current work

The current thread connects data efficiency, generalization under shift, interpretability, uncertainty, evaluation, and the engineering needed to execute careful experiments.