Arash Sarabi

Arash Sarabi is a dedicated Ph.D. candidate in Computer Science at Arizona State University, maintaining a 4.0 GPA and ranking first in the department. His work centers on high-performance computing (HPC) and distributed systems, where he applies advanced analytics to solve real-world data challenges. With a strong foundation in Python and Spark, Arash excels at designing scalable data wrangling, preprocessing, and machine learning workflows. He also possesses deep expertise in SQL databases, data visualization, and containerized big data solutions.

Throughout his doctoral studies, Arash has contributed significantly to academic and industry-facing projects, showcasing a commitment to collaboration and innovation. He has led cross-functional research teams, coordinated efforts in HPC environments, and delivered presentations at prominent conferences such as IEEE INFOCOM and CNERT. Arash’s ability to bridge technical concepts with clear communication has consistently fostered positive outcomes for stakeholders—improving system throughput by up to 30% and accelerating data pipelines by about 40%.

Beyond his research pursuits, Arash has excelled as a Teaching Assistant for courses in Data Structures & Algorithms, Networking, and Foundations of Algorithms. His mentorship emphasizes rigorous problem-solving, enabling students to develop robust skills in data processing, SQL optimization, and Python-based analytics. A recognized leader, Arash has garnered awards such as the Best Demo and Poster at KNIT 7 and participated in organizing panels for leading industry workshops.

Driven by a passion for delivering data-driven solutions, Arash continually seeks opportunities to streamline processes, refine system architectures, and elevate team performance. With certifications in MikroTik networking, VMware virtualization, and software-defined networking, he brings both technical depth and a collaborative mindset to every endeavor.

• Graduate Teaching Assistant: 2022Fall-CSE434
• Graduate Teaching Assistant: 2023Summer-CSE578
• Graduate Teaching Assistant: 2023Spring-CSE434
• Graduate Teaching Assistant: 2022Fall-CSE434
• Graduate Teaching Assistant: 2022Fall-CSE551
• Graduate Teaching Assistant: 2022Spring-CSE434
• Instructor: 2021Fall-CSE434
• Instructor: 2021Fall-CSE551