Research Assistant at SchliepLAB | M.Sc. Student in Artificial Intelligence | Data Science, Analytics & Machine Learning
I work across data science, machine learning, and applied AI, with experience in both industry and academic research.
Before starting my M.Sc. in Artificial Intelligence at BTU Cottbus-Senftenberg, I spent four years as a Data Analyst at two mobile game studios, in both cases as the only data person. I designed the event tracking, set up the reporting, and ran the A/B tests that product decisions were based on.
I am currently a Research Assistant at SchliepLAB, where I build an extraction pipeline that pulls structured data out of a patent archive of more than two million pages, alongside computational tools for genomic and biomedical research. My thesis looks at how to compose pipelines like this at corpus scale: what filtering quietly discards, and where annotation effort is worth spending when compute is fixed.
2025–Present
Research Assistant
2025
Research Intern
2021–2023
Data Analyst
Rain Hero Games (remote)
2019–2021
Data Analyst
GenomeUtils (2025)
Open-source Python utilities for processing and analyzing genomic data. Contributed as part of my research work at SchliepLAB.
Evolution 101: Understanding Evolution (2016 - )
Translated and published a 50-part educational series on evolution for Persian-speaking readers. Developed the website using Python and Pelican.
Baghche Game (2019 - 2020)
Co-created an Android idle game and worked on product analytics, user behavior, and data-informed development.
ChatStory App (2017 - 2018)
Co-created an Android platform for publishing short stories in a chat-based format.
2023–Expected 2027
M.Sc. in Artificial Intelligence
2010–2015
B.Sc. in Computer Software Engineering
Islamic Azad University, Lahijan Branch