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AI Engineer with less than a year in Machine Learning & Software Development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Software Engineering student with hands-on experience in AI, machine learning, and software development. Seeking opportunities to contribute to impactful projects while continuously learning emerging technologies and growing professionally.
COMSATS University Islamabad
BS · Software Engineering
August 1, 2022 – June 30, 2026
Army Public School & College, Attock
Intermediate · Pre-Engineering
June 1, 2020 – May 31, 2022
Army Public School & College, Attock
SSC · Matriculation
June 1, 2018 – May 31, 2020
DeepDetect: Safeguarding Digital Identities
June 29, 2026 – Present
Developed a deep learning based deepfake detection system for identifying identity and expression swap deepfakes in political speeches and digital media. Utilized computer vision and neural networks trained on benchmark deepfake datasets. Deployed as a mobile application for real-time usage.
Cotton Leaf Disease Detection and Advisory System
June 29, 2026 – Present
Built an AI-powered solution using Computer Vision, Large Language Models (LLMs), and Agentic AI to detect cotton leaf diseases and provide automated treatment recommendations through API integration.
AI-Based Plagiarism Checker
June 29, 2026 – Present
Implemented an AI-driven plagiarism detection system using the Strategy Design Pattern to analyze text similarity and originality.
Trip Management System
June 29, 2026 – Present
Developed a responsive web application frontend using HTML, CSS, JavaScript, Laravel, and Bootstrap to manage trip bookings and schedules.
Bakery Inventory Management System
June 29, 2026 – Present
Designed a secure desktop application with product tracking, stock management, report generation, and user authentication.
Mood Quotes Mobile Application
June 29, 2026 – Present
Developed a cross-platform mobile app that displays inspirational quotes based on user-selected moods.
Hostel Management System
June 29, 2026 – Present
Designed an object-oriented application to manage hostel rooms, students, and allocations efficiently.
Diabetes Prediction System
June 29, 2026 – Present
Built a machine learning model using Python to predict diabetes likelihood based on health indicators.
E-Commerce Management System
June 29, 2026 – Present
Designed and implemented a relational database using SQL Server for managing users, products, orders, payments, and inventory.
Full-Stack AI Bootcamp: ML to LLMs
GIKI
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of interests, from deep learning and LLMs to web development and database management. The focus on AI-related projects (DeepDetect, Cotton Leaf Disease Detection, AI-Based Plagiarism Checker, Diabetes Prediction) aligns well with an 'AI Engineer' target role. The participation in a bootcamp and securing a position in a project competition indicate a proactive and competitive spirit. However, the lack of professional experience means cultural fit cannot be fully assessed beyond academic engagement.
Soft Skills & Operational Fit
The candidate lists soft skills such as Team Collaboration, Problem Solving, Time Management, Adaptability, Communication, and Critical Thinking. While these are valuable, there is no direct evidence from the provided data (e.g., project descriptions or test results) to assess their operational fit or how these skills are applied in a professional context. The candidate is currently a student with no professional experience.