Shaoor Munir

About Me

I am currently pursuing my Ph.D. in Computer Science at the University of California, Davis, under the guidance of Professor Zubair Shafiq. My research is focused on enhancing online privacy for users worldwide by employing advanced machine learning and data analytics techniques.

6+ years research8 publications7 positionsGold Medalist
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Awards & Honors

research

Best Artifact Award

ACM CCS 2024

2024

For "Blocking Tracking JavaScript at the Function Granularity" - recognized for exceptional research artifact quality

academic

Gold Medalist

FAST-NUCES

2018

Awarded for achieving the highest GPA in the Computer Science graduating class

recognition

Top Reviewer

AISec @ CCS 2025

2025

Recognized for exceptional review quality at the ACM Workshop on Artificial Intelligence and Security

academic

Dean's List

University of California, Davis

2021-2025

Recognized for academic excellence during Ph.D. studies

Research Areas

Online PrivacyMachine LearningWeb TrackingLarge Language ModelsBot Detection

Technical Skills

Proficiency:

Languages

Python
SQL
C++
Java
JavaScript

ML & AI Frameworks

PyTorch
Keras
Scikit-Learn
TensorFlow
SciPy
Unsloth
LangChain

Cloud & Infrastructure

AWS (Athena, Glue)
GCP (Cloud Run, Vertex AI)
Databricks (DLTs, MLFlow, AgentBricks)

Web Scraping & Automation

Selenium
Playwright
Scrapy
Puppeteer
OpenWPM

Education

Ph.D. in Computer Science

Dean's List
September 2021December 2025 (Expected)

University of California, Davis

Davis, CAGPA: 3.81/4.0Advisor: Prof. Zubair Shafiq

B.S. in Computer Science

Gold Medalist
August 2014May 2018

FAST-NUCES

Lahore, PakistanGPA: 3.73/4.0

Career Timeline

Experience

ResearchIndustry

AI Research Scientist (Intern)

IDPrivacy, Inc.

March 2024Present
Remote
  • Led design and implementation of a self-serve agentic AI platform on GCP with end-to-end encryption, achieving 73% appointment booking rate and 70% conversion rate across 10,000+ customer interactions.
  • Engineered RAG, TAG, and custom ETL pipelines using Terraform for large-scale data ingestion and secure AI agent deployment.
  • Designed automated wholesale vehicle valuation system using LSTM + fine-tuned LLM on Databricks, achieving 98% accuracy across 50,000+ vehicle models.

Graduate Student Researcher

University of California, Davis

September 2021Present
Davis, CAAdvisor: Prof. Zubair Shafiq
  • Developed machine learning pipelines to detect misuse of first-party tracking cookies, link decorations, and intrusive JavaScript APIs with state-of-the-art accuracy.
  • Designed experiments to detect evasive bots on the web and proposed algorithms to increase detection rates of commercial bot detection services.
  • Built and maintained large-scale data collection pipelines using OpenWPM, Puppeteer, and Playwright to analyze web tracking at scale.

Research Assistant

Lahore University of Management Sciences

November 2019August 2021
Lahore, PakistanAdvisor: Prof. Fareed Zaffar
  • Explored state-of-the-art Natural Language Generation and Understanding techniques.
  • Developed automated methods to attribute synthetic text to its source language model.
  • Collaborated on projects related to news event detection and Urdu language text corpus.

Software Engineer

NorthBay Solutions

April 2019November 2019
Lahore, Pakistan
  • 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.

Editor

TechJuice

October 2018April 2019
Lahore, Pakistan
  • Managed a writer panel of 15, spread across multiple cities.
  • Improved editorial quality and trained new writers.

Associate Software Engineer

Systems Limited

July 2018September 2018
Lahore, Pakistan
  • Worked on a Machine Learning and Data Science R&D project for an American bank using Random Forests, SVM, Word2Vec, and Doc2Vec.

Content Writer

TechJuice

November 2016April 2018
Lahore, Pakistan
  • Authored and published 450+ articles.
  • Organized interviews for the TechJuice 25 under 25.
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