
Ali Faisal Khan
Based in: Mardan, PakistanCurrently: AI Engineer, EY (Ernst & Young)
Experience
AI Engineer
Summary
What I did
- Focused on Data & AI initiatives.
Agentic AI Engineer
Research Intern
Summary
Results
- Evaluated YOLOv8-Nano on 1,466 images for traffic-light detection under challenging conditions, achieving 80.4% mAP@0.5.
- Developed a webcam-based interface using transfer learning with EfficientNetV2S to recognize 28 American Sign Language classes.
- Compared exact and approximate N-Queens solvers across board sizes of 10–200, evaluating runtime, memory, and success rates.
Skills
Technical
Projects
meDDI - AI Prescription Analytics
AI-Powered Resume Builder & Job Automation
End-to-End DevOps Automation
Healthcare Document Intelligence Pipeline
Traffic Light Detection Research
American Sign Language Recognition
N-Queens Solver Evaluation
Education
BS Computer Science
Thesis. meDDI - AI Prescription Analytics
Recognition
Awards
Gold Medalist
Awarded for academic excellence in BS Computer Science
Dean's Honor Roll
Achieved for all 8 semesters
Faculty Rank 1
Ranked 1st in the faculty
Batch Rank 4
Ranked 4th in the entire batch
Patents & publications
Benchmarking YOLOv8-Nano for Traffic Light Detection Under Challenging Conditions
IEEE FIT Conference
Real-Time American Sign Language Recognition Using EfficientNetV2S: A Transfer Learning Approach with Webcam-Based Interface
IEEE ICET Conference
Ali's twin is AI, it can make mistakes.
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