Sarfaraz Baig

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Sarfaraz Baig

Graduate of 2026
BS Computer Science

Aspiration Statement

Computer Science major interested in insights from data and building practical software systems. Creative pursuits in prop-making and storytelling shape how I think about design, detail, and user experience.

Core Skills

  • Numpy
  • Pandas
  • Python
  • Pytorch
  • React

Preferred Career Paths

First priority: Data Science

Second priority: Product Development

Third priority: Cybersecurity

Experience

Leadership / Meta-curricular

  • Hblxhu Campus Catalyst - Student Ambassador
  • Hucon - Cosplay Participant
  • Kvtc - Website Developer
  • Treasurer, Dream Stage

Internship / Volunteer Work

  • Information Technology Intern, K-Electric (June – August 2025)
  • Undergraduate Research Assistant, Habib University (May – August 2025)

Final Year Project

Project Title

FarmEvo Wildfire Monitoring System (FEWMS)

Description

The FarmEvo Wildfire Monitoring System is designed to help identify and monitor wildfire damage using satellite imagery and machine learning. Wildfires can spread quickly and are difficult to track across large regions, making timely detection important for environmental monitoring and disaster response. This project focuses on developing an automated system that analyzes satellite data to detect burnt land and changes in vegetation health. Using deep learning models and remote sensing data from Sentinel satellites, the system can identify affected areas and provide insights that may support faster assessment and response. The goal is to demonstrate how artificial intelligence and satellite data can be combined to improve large-scale environmental monitoring and support more informed decision-making.

Project Pictures