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Nehal Naeem Haji
Aspiration Statement
Given the courses I have taken, as well as my research and work experience, the field that excites me the most is AI, particularly Computer Vision, Agentic AI, and MLOps.
Core Skills
- AWS
- Deep Learning
- MongoDB
- NextJS
- Python
Core Competencies
- Acts with Ownership
- Adaptability
- Collaborates Openly
- Effective Presentation Skills
- Encourages Innovation
- Problem Solving
- Strategic Thinking
- Takes Initiative
Preferred Career Paths
First priority: AI/ML Engineering
Second priority: Data Science
Third priority: Cloud Engineering
Academic Awards / Achievements
- Dean's List 2023, 2024, 2025
- High Achievement Scholarship 2023, 2025
- President's List 2023, 2024, 2025
Experience
Leadership / Meta-curricular
- Lead - Google Developer Group On Campus
- Hucon - Core Team Member
- Hucon - Vendors Team Lead
- Vice President, Entrepreneurship Club
- Academic Affairs Member & Batch Representative Cs, Habib University Student Government
Internship / Volunteer Work
- Cloud Intern, Atomic Computing (December 2025 – June 2026)
- Undergraduate Researcher, Habib University (October – December 2025)
- Analyst Intern, Liberty City Ventures (July 2025)
Publications / Creative Projects
- Research Paper – Research paper on Multi-Agent Reinforcement Learning submitted to ICML 2026
- Research Paper – Research paper on Predicting the Expansion of the Thar Desert using Deep Learning submitted to IGARSS 2026
Final Year Project
Project Title
HU Digital Twin
Description
A real-time 3D visualization of the Projects and Digital Instrumentation Lab that aids the security and facilities team with three aspects: emergency response, crowd management, and energy efficiency. It uses YOLO as well as Bytetrack and translates the coordinates of people detected in the real-time stream and displays them onto the 3D model to provide real-time visibility of the lab without having to scroll screens. It also sends automated alerts to assigned CSOs in the event of emergencies in case the lab(s) aren't vacated. Automated alerts are sent to the facilities team in case the HVAC system is running when there is no one inside the premises. A real-time crowd count is also provided to aid in crowd monitoring.
Project Pictures
