Amro Aljundi
Ph.D. Student at University of Virginia
Charlottesville, Virginia, United States
Summary
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Senior🎓
Top SchoolAmro Aljundi is a Ph.D. student at the University of Virginia specializing in high-performance computing and parallel programming with a focus on graph-based machine learning. With nine years of industry and academic experience, he brings practical engineering chops from roles including IoT proofs-of-concept and front-end development to rigorous research in scalable graph algorithms. He holds an MS in Computer Science and Engineering from Sabancı University and a BS in Computer Engineering, and continues to teach as a graduate TA, bridging pedagogy and research. Known for combining HPC techniques with graph ML, he pragmatically targets performance bottlenecks that matter in real-world datasets rather than only theoretical gains.
9 years of coding experience
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at American University of SharjahDoctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Sabanci UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
Github Skills (44)
sparse10
graph-algorithms10
reduction10
random-walk10
graph10
cluster-computing10
graph-analysis10
nvidia10
graphml10
cuda10
sparse-data10
memgraph10
dataframes9
graph-framework9
mpi9
Programming languages (10)
Github contributions (5)
sparcityeu/SparseBase
Nov 2021 - Dec 2022
Sparse data processing library with a generic, HPC-centric design, supports feature extraction, IO, reordering and partitioning.
Contributions:101 reviews, 512 commits, 61 PRs in 1 year 1 month
sparse-datampidataframesdata-processingcluster-computing
SU-HPC/GOSH
Aug 2020 - Jan 2022
Contributions:5 commits, 13 pushes in 1 year 5 months
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