Pegah Alipoormolabashi
Graduate Research Assistant
Town of Brookhaven, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPegah Alipoormolabashi is a research-oriented software engineer and PhD candidate in computer science with a decade of experience across NLP research, data engineering, and teaching. Currently a Graduate Research Assistant at Stony Brook University, she combines academic rigor with practical skills gained at UCLA and ISI, and earlier industry work as an NLP engineer and Python developer. Her open-source contributions include data validation and quality improvements to AllenAI’s widely used natural-instructions repository, showcasing attention to dataset integrity and large-scale data processing. She has a strong teaching background in NLP and advanced programming, and a proven ability to clean and reshape complex datasets (e.g., fixing unicode and imbalanced labels) to make models and benchmarks more reliable. Based in Brookhaven, NY, she brings a methodical, research-first approach to building reproducible NLP pipelines and tooling.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Software Engineering, Bachelor of Science - BS, Computer Software Engineering at Sharif University of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stony Brook University
Github Skills (8)
data-validation10
python10
data-processing10
json9
nlp8
natural-language-processing8
algorithm7
algorithms7
Programming languages (4)
Github contributions (5)
allenai/natural-instructions
Jul 2021 - Apr 2022
Expanding natural instructions
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:40 reviews, 89 commits, 63 PRs in 8 months
Contributions summary:Pegah primarily focused on data validation and improving the data quality within the repository. They made multiple commits that addressed imbalanced labels and incorrect data in the task files, specifically in `src/test_all.py`. They also wrote scripts to fix unicode characters and update the data definition, demonstrating the ability to manipulate and process large datasets, as well as the ability to modify existing data structures.
instructionsexpandingnatural
Palipoor/SAD96972_G6
Mar 2018 - Aug 2018
Contributions:140 pushes, 27 branches in 5 months
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