Background

About Me

I am the Chief AI and Data Officer at ID Privacy, Inc., where I architect and lead the development of a multi-tenant agentic AI platform for real-time voice, SMS, and email orchestration, intent-driven visitor attribution, and enterprise analytics. I completed my Ph.D. in Computer Science at UC Davis, where my research focused on enhancing online privacy using advanced machine learning and data analytics techniques.

0 years research0 papers

Gold medalist

CV Resume

Recognition

Awards & Honors

Research Recognition

2024

Best Artifact Award

ACM CCS 2024

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

2025

Top Reviewer

AISec @ CCS 2025

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

Academic Honors

2018

Gold Medalist

FAST-NUCES

2021-2025

Dean's List

University of California, Davis

Recognized for academic excellence during Ph.D. studies

Expertise

Research Areas

Online PrivacyMachine LearningWeb TrackingLarge Language ModelsBot Detection

Technical Skills

Languages

PythonSQLTypeScriptC++JavaJavaScript

ML & AI

PyTorchKerasScikit-LearnTensorFlowSciPyUnslothLangChainFastAPINext.jsReact

Cloud

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

Web Scraping

SeleniumPlaywrightScrapyPuppeteerOpenWPM

Academic

Education

Ph.D. in Computer Science

Dean's List

September 2021 – December 2025

University of California, Davis

GPA: 3.81/4.0Advisor: Prof. Zubair Shafiq

B.S. in Computer Science

Gold Medal

August 2014 – May 2018

FAST-NUCES

Lahore, PakistanGPA: 3.73/4.0

Career

Experience

ResearchIndustry

Chief AI and Data Officer

Current

ID Privacy, Inc.

January 2026 – Present2 mos

Remote

GCPTerraformKubernetesHelmPostgreSQLRedisNext.jsReactTypeScriptFastAPILLMRAGpgvectorStripeTwilioPythonAI Strategy

●Leading AI strategy and data science as a founding executive, architecting a multi-tenant agentic AI platform spanning orchestration, analytics, billing, CRM, knowledge retrieval, and multi-channel communication (voice, SMS, email), achieving 73% appointment booking rate and 70% conversion rate across 10,000+ customer interactions.
●Designed and built the full cloud infrastructure on GCP using Terraform (GKE, Cloud SQL, Artifact Registry, VPC networking) with Helm-based Kubernetes orchestration across three environments, automated CI/CD via GitHub Actions on self-hosted runners, and event-driven processing with Redis Streams.
●Built a first-party pixel tracking and real-time website visitor attribution system that feeds into agentic outreach workflows, leveraging expertise from my published research on first-party cookie tracking (CookieGraph, CCS 2023), cross-site link decoration attribution (PURL, USENIX Security 2024), and bot detection via fingerprint analysis (FP-Inconsistent, IMC 2024) to build privacy-conscious commercial intent data collection and fulfillment pipelines across 45,000+ topics.
●Engineered RAG pipelines with pgvector embeddings, a natural language-to-SQL engine using ReAct agents, and privacy-preserving AI computation modules (homomorphic encryption, secure multi-party computation, differential privacy).
●Built integrations with Twilio, Retell AI, ElevenLabs, GoHighLevel, Salesforce, HubSpot, CDK Drive, VIN Solutions, and Reynolds & Reynolds, enabling multi-channel AI agent orchestration with task-centric cadence automation.

AI Research Scientist (Intern)

ID Privacy, Inc.

March 2024 – December 20251 yr 9 mos

Remote

GCPTerraformDatabricksFastAPIDockerLLMRAGFAISSLangChainPython

●Designed and prototyped the initial agentic AI platform architecture on GCP, establishing the microservices foundation (FastAPI, Docker, Kubernetes) that scaled into the production system.
●Engineered RAG and custom ETL pipelines using Terraform and LangChain for large-scale data ingestion, document vectorization (FAISS), and secure AI agent deployment with knowledge base retrieval.

Graduate Student Researcher

University of California, Davis

September 2021 – December 20254 yrs 3 mos

CAAdvisor: Prof. Zubair Shafiq

PythonPyTorchOpenWPMPuppeteerPlaywrightSQL

●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.

Research Assistant

Lahore University of Management Sciences

November 2019 – August 20211 yr 9 mos

Lahore, PakistanAdvisor: Prof. Fareed Zaffar

PythonPyTorchNLPTransformers

●Explored state-of-the-art Natural Language Generation and Understanding techniques.
●Developed automated methods to attribute synthetic text to its source language model.

Software Engineer

NorthBay Solutions

April 2019 – November 20197 mos

Lahore, Pakistan

JavaAWSApache SparkNifi

●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 2018 – April 20196 mos

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 2018 – September 20182 mos

Lahore, Pakistan

PythonScikit-LearnWord2VecNLP

●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 2016 – April 20181 yr 5 mos

Lahore, Pakistan

●Authored and published 450+ articles.
●Organized interviews for the TechJuice 25 under 25.

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