Arash Hajisafi
PhD Research Assistant at University of Southern California
Los Angeles, California, United States
Summary
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Top SchoolArash Hajisafi is a PhD candidate in Computer Science at USC with eight years of software and research experience focused on scalable machine learning and graph representation learning. At USC he spearheads the W4H wearable-health toolkit—an open-source, production-ready system that integrates live and historical wearable data, combining Spark, Kafka, Streamlit and Docker for scalable ingestion, analysis, and visualization. His research blends temporal GNNs and pretrained LLMs to improve EEG seizure classification and point-of-interest visit forecasting, demonstrating an uncommon mix of systems engineering and advanced model design. He has production experience building APIs, simulators, and data pipelines in Python and Flask, and has mentored undergraduates in research practices. Based in Los Angeles, he brings both top academic credentials and practical engineering chops, evidenced by high-accuracy models and a public toolkit that bridges research and real-world wearable data workflows.
7 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern CaliforniaAmirkabir University of TechnologyMathematics and Physics, Pre-University, 19.92 / 20, Mathematics and Physics, Pre-University, 19.92 / 20 at Khaje Nasir High School
English, Persian
Github Skills (10)
health5
wearables5
wearable-sensors5
spatial4
data-management3
geospatial3
data-visualization2
time-series2
open-source1
data-integration1
Programming languages (3)
Github contributions (5)
Arashhs/arashhs.github.io
Aug 2020 - Jan 2025
Contributions:79 pushes, 1 branch in 4 years 6 months
Arashhs/academic-kickstart
Aug 2020 - Jan 2025
đź“ť Easily create a beautiful website using Academic, Hugo, and Netlify
Contributions:64 pushes in 4 years 6 months
hugojamstacknetlifyhugo-themestatic-site-generator
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