Summary
Haider Alwasiti is a multidisciplinary machine learning researcher and engineer with 11 years of experience bridging deep learning, biomedical signal processing, electronics design, and mobile development. He combines a PhD-level background and medical training with hands-on impact—top 1% Kaggle Deep Learning rankings, 11 Android apps with ~500K downloads, and award-winning fundamental research from a national FRGS program. At Kardium he develops ML and signal-processing pipelines for electrophysiology (including a 93% proof-of-concept vein-detection tool), and his prior work at the University of Helsinki produced production-ready multimodal search and illegal wildlife trade detection systems using CLIP and learning-to-rank approaches. Comfortable moving from hardware diagnostics to cloud NLP and vector search, he excels at identifying data-quality and hardware issues and aligning models with real clinical workflows. Haider’s engineering philosophy favors modular, maintainable systems—treating complex solutions as collections of simple, composable parts—and he brings a rare blend of clinician perspective and systems-level ML expertise.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Universiti Teknologi PETRONAS
Instructor: Prof. Andrew Ng Stanford University Machine Learning, Instructor: Prof. Andrew Ng Stanford University Machine Learning at Stanford University on Coursera
NanoDegree Self Driving Car Engineer, NanoDegree Self Driving Car Engineer at Udacity
M.Sc. Biomedical Engineering, M.Sc. Biomedical Engineering at Universiti Putra Malaysia
Bachelor of Medicine and Surgery (MB.ChB.), Bachelor of Medicine and Surgery (MB.ChB.) at Al-Mustansiriyah University
Instructor: Prof. Jacob White MIT Introduction to Control System Design, Instructor: Prof. Jacob White MIT Introduction to Control System Design at MITx Courses
Arabic, English, Hungarian