AI Engineer with less than a year in Artificial Intelligence & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate and Full-Stack AI Engineer with strong hands-on experience in Artificial Intelligence, Machine Learning, and Computer Vision. Developed and deployed a real-time Amazon Go-style cashierless store system using YOLOv8, Deep SORT, FastAPI, and PostgreSQL, integrating AI models with web and mobile applications. Proficient in Python, SQL, TensorFlow, and Scikit learn, with solid backend and API development skills. Passionate about building production-ready AI solutions and seeking entry-level roles in AI, Computer Vision, or Full-Stack AI development
National University of Modern Languages (NUML)
Bachelor of Science · Computer Science
January 1, 2022 – January 1, 2026
Scienta Vision College
F.Sc · Pre-Engineering
January 1, 2019 – January 1, 2021
Allied School G-10/2 Campus
Matriculation · Computer Science
January 1, 2017 – January 1, 2019
NTL - NADRA Technologies Ltd.
Internship Corporate Affairs & Technical Department
July 1, 2025 – August 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Cashier-Less Store
January 1, 2026 – Present
Built a real-time cashier-less store system using YOLOv8 for product, hand, and face detection Trained 3 YOLOv8 models on a custom beverage dataset (9+ classes) with optimized inference performance Implemented IoU- and spatial-based interaction logic to detect product pickup actions (picked / not picked) Developed a FastAPI backend to return JSON responses containing face embeddings, product details, and user actions Integrated AI pipeline with React Native mobile app and C#/.NET Core backend using REST APIs Delivered a fully functional cashier-less store prototype enabling automated cart management and checkout
Cultural Fit Analysis
The candidate's academic project, 'Cashier-Less Store,' demonstrates initiative and a practical application of AI skills, aligning with a results-oriented culture. The internship at NADRA, while brief, shows an interest in understanding real-world deployment and compliance, which is valuable. The breadth of skills listed (programming languages, web dev, mobile dev, ML/AI, databases) suggests adaptability and a willingness to learn diverse technologies. However, the overall experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems and integrate various technologies. The internship at NADRA suggests exposure to professional IT operations and collaboration, which are positive indicators for operational fit. However, the resume does not provide explicit details on communication style, problem-solving approach, or teamwork dynamics beyond project descriptions.