For detailed information, please see my CV here.
Education
University of California, Davis
(September 2021 - Present)
Ph.D. in Computer Science
Advisor: Prof. Zubair Shafiq
National University of Computer and Emerging Sciences
(August 2014 - May 2018)
Bachelors in Computer Science
Work Experience
University of California, Davis
(September 2021 - Present)
Graduate Student Researcher
Advisor: Prof. Zubair Shafiq
- Research to evaluate existing privacy-preserving technologies and development of new techniques to counter advancements in online tracking.
- Analysis of existing technology policies and how they impact online privacy.
Lahore University of Management Sciences
(November 2019 - August 2021)
Research Assistant
Advisor: Prof. Fareed Zaffar
- Worked in collaboration with academics to explore state-of-the-art Natural Language Generation and Understanding.
- Worked on exploring automated methods to attribute synthetic text to its source language model.
- Collaborated on projects related to news event detection and Urdu language text corpus.
NorthBay Solutions
(April 2019 - November 2019)
Software Engineer
- Worked on an internal Big Data Research Project with Kylo, Nifi, Apache Spark, and Amazon Web Services.
- Designed Java API endpoints for Data Lake management in Amazon Web Services.
Systems Limited
(July 2018 - September 2018)
Associate Software Engineer
- Worked on a Machine Learning and Data Science R&D project for an American bank using Random Forests, SVM, Word2Vec, and Doc2Vec.
TechJuice
(October 2018 - April 2019)
Editor
- Managed a writer panel of 15, spread across multiple cities.
- Improved editorial quality and trained new writers.
Content Writer
(November 2016 - April 2018)
- Authored and published 450+ articles.
- Organized interviews for the TechJuice 25 under 25.
Talks and Media Coverage
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IMDEA Networks: Presented a talk on safeguarding user data from storage and exfiltration by trackers.
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The Register: Covered online tracking through link decoration and detection of these link decorations.
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Ad-Filtering Dev Summit 2023: Presented work on automatically detecting tracking link decorations.
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DataSkeptic Podcast: Discussed first-party cookie-based tracking and countermeasures.
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Ad-Filtering Dev Summit 2022: Presented an overview of the COOKIEGRAPH paper.
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EACL 2021: Presentation on attribution of text generated by language models.