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AI Engineer with less than a year in Machine Learning, Computer Vision, and UAV Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence graduate (BSCS) with expertise in Machine Learning, Computer Vision, Autonomous UAV Systems, React Native development, and Python programming. Experienced in building AI-powered drone navigation systems, object detection models, and mobile applications using React Native and SQLite.
PMAS Arid Agriculture University, Rawalpindi
BSCS · Artificial Intelligence
N/A – January 26, 2026
Dione.Software
Data & AI Intern
January 1, 2024 – June 1, 2024
India
AI-Based Autonomous UAV for Intelligent Navigation and Landing Zone Detection
June 25, 2026 – Present
Designed and implemented an autonomous drone system capable of real-time landing zone detection. Applied computer vision algorithms for terrain analysis and obstacle detection. Integrated coordinate-based waypoint navigation system. Optimized real-time image processing for flight stability and intelligent decision-making.
React Native Mobile Application Development
June 25, 2026 – Present
Developed mobile applications using React Native, TypeScript, and SQLite. Implemented CRUD operations, API integration, image picker, navigation, and local database management. Built responsive UI components and data-driven mobile solutions.
IBM Data Analyst Certification
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on practical applications of AI, which aligns with an innovative culture. The internship experience, though short, shows an ability to integrate into a professional environment. However, the limited professional experience and academic focus suggest a need for mentorship and integration into a fast-paced, senior-level engineering culture. The diversity of projects (UAVs, mobile apps) indicates a broad interest, but the depth required for a senior AI Engineer role is not yet evident. The candidate is still pursuing their bachelor's degree, which might impact immediate cultural fit for a senior role requiring extensive independent contribution and leadership.
Soft Skills & Operational Fit
The candidate's resume indicates a structured approach to project development and a foundational understanding of AI/ML pipelines. The internship experience suggests an ability to work within a team and contribute to real-world projects. However, without specific psychometric or English test scores, it's difficult to fully assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what's implied by project descriptions.