Zafir Ansari Email & Phone Number

Greater Seattle Area

Developing AI-powered systems for DNS threat detection, leveraging big data analytics and machine learning to identify patterns and enhance network security at scale.

• Initiating fine-tuning of models to purge misinformation and inherent biases from expansive generative AI outputs
• Measured and analyzed personal information leakage from websites, leveraging pandas for statistical analysis and data preprocessing to derive actionable insights
• Created an end to end Python pipeline from collecting large amounts of unstructured data, preprocessing it, and designing a tool to detect PII leakages in an automated fashion, improving the time of analysis by 300%
• Delivered actionable insights to a leading IT enterprise, driving enhanced business strategies and informeddecision-making; presented findings at a conference with a forthcoming submission to IEEE (Intended)
• Designed a Tableau dashboard providing key insights instrumental in raising funding for a global-scale initiative

Evanston, Illinois, United States

Chicago, Illinois, United States

• Developed high-impact real-time DNS tunnel detection tool for over 13000 customers, using a CNN Autoencoder and Random Forest classifier. Leveraged Apache Spark for efficient dataset formation and feature extraction
• Achieved a 99.8% F1 score, processing petabytes of daily logs, leading to potentially millions of dollars in savings; deployed the tool into the production environment; Research submission accepted at a ML Conference
• Engineered an ETL data pipeline for live streaming data in an AWS-hosted Delta Lake table while also translating findings into tangible business benefits and creating unit tests for reliability

Worked on multiple research projects with LUMS faculty, professors from UVA, and NYUAD, as well as entrepreneurs from the bay area.Research areas:1) Data Science2) Internet measurement3) Intrusion detection and forensic analysis4) Enterprise-level Security and Privacy, and data analysis (Machine Learning)

Computational Problem Solving

Operating Systems

San Francisco Bay Area

• Designed a data analysis service that aims to discover, classify, and prioritize key events across an enterprise
• Led a team of five to create an analytics platform on AWS (S3, EC2) with Kibana, achieving a 200% boost in analysis efficiency and amplifying key business KPIs
• Developed Random Forest model to proactively predict key events with a 93% accuracy, communicating weekly updates to senior leadership and promptly reporting critical service issues

Artificial Intelligence

Introduction to Programming

Developed a novel technique to counter the loss of accuracy due to damaged leaves in a tree species recognition model, to help automate the forest industry through machine learning

Master Of Science - Ms, Computer Science, 3.93(Cgpa)

Awarded fellowship for Artificial Intelligence Research

Bachelor Of Science - Bs, Computer Science, 3.82(Cgpa)

Top 3% of my batch | Graduated with High Distinction | Dean's List: 6/6 semesters Advisor: Dr. Fareed Zaffar (LUMS), Wajih Ul Hassan.

A-Levels, Physics, Chemistry, Mathematics, Biology, 4 A*/A