Parsa Abbasi

Research Associate

Paderborn, North Rhine-Westphalia, Germany
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Summary

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Senior
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Top School
Parsa Abbasi is a research-focused machine learning engineer and doctoral candidate at Paderborn University with eight years of experience spanning graph neural networks, NLP, and applied data science. He develops explainable ML methods for knowledge graphs under Dr. Stefan Heindorf and previously improved relational GNN architectures by reducing parameters and addressing static attention issues. As a data scientist and course author at Quera, he designed scalable online ML coursework, enhanced automated grading, and answered 450+ student queries while maintaining a 4.9/5 rating. His early work includes a peer-reviewed Persian sentiment analysis system using novel text augmentation techniques, and practical experience building MPI-based distributed systems. Comfortable bridging research and teaching, he blends rigorous academic inquiry with hands-on engineering to produce efficient, interpretable models for real-world graph and language tasks.
code8 years of coding experience
job3 years of employment as a software developer
bookBachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Guilan University
bookMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Iran University of Science and Technology
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universität Paderborn - Paderborn University
languagesPersian, English
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Stackoverflow

Stats
300reputation
7kreached
8answers
0questions
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Github Skills (60)

corpus10
classification10
persian10
polarity10
beautifulsoup10
sentiment-analysis10
keras10
lstm10
dictionary10
sentiment10
data-augmentation10
balloon9
bootcamp9
naive-bayes9
architectures9

Programming languages (4)

CHTMLJupyter NotebookPython

Github contributions (5)

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Sentiment analysis using ML and DL models on Persian texts
Contributions:1 release, 3 commits, 18 PRs in 10 months
nlppersianmachine-learningsentimentnltk
Web scraper implementations for a variety of websites.
Contributions:50 commits, 48 PRs, 45 pushes in 21 days
implementationsdata-analysispythonscrapybs4
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Parsa Abbasi - Research Associate