Hello, I'm Muhammed Nabeel Nasar
Software Developer · AI & ML
MCA graduate specializing in Artificial Intelligence and Machine Learning, with practical experience across Python, Flutter, REST APIs, and computer vision. Seeking entry-level opportunities in Software Development, AI/ML, or Flutter development across India and the UAE.
Professional Summary
Recent MCA graduate specializing in Artificial Intelligence and Machine Learning, with hands-on experience in Python, Flutter, MySQL, REST APIs, and cloud-deployed applications[cite: 1]. Completed a Flutter Developer internship at EBS Global and built end-to-end AI, computer vision, and AWS-deployed projects[cite: 1], including a facial recognition system with approximately 94% accuracy[cite: 1].
My technical core spans Python, Dart, JavaScript, Flutter, Django, OpenCV, Dlib, and cloud/database tooling. Key project highlights include House AI (a full-stack Flutter, Flask, and Gemini AI mobile application featuring 3D/AR visualization deployed on AWS[cite: 1]) and Eyris the eYE (achieving ~94% facial recognition accuracy[cite: 1]). I also presented AI/ML research on fuzzy deep learning at the ICAISM 2025 international conference[cite: 1], and I am actively seeking entry-level Software Developer, Software Engineer, or AI Engineer roles in the UAE with immediate availability.
Professional Experience
Completed a 2-month internship focused on Flutter-based mobile application development and practical software development workflows, including API integration, debugging, and testing.
AI-powered security and identification system designed to search for and identify missing individuals in real time using computer vision.
- Real-Time Recognition: automated image processing and feature extraction using OpenCV and Dlib.
- Scalable Matching: analyzes video feeds and matches facial signatures against missing-persons records.
- Backend Logic: Python workflows managing image data and real-time search queries.
Smart architectural application generating tailored 3D house layouts and interactive models using integrated machine learning logic.
- Cross-Platform Interface: responsive Flutter frontend for real-time 3D visualization.
- ML Architecture: Python/Flask backend running custom ML algorithms.
- API Integration: secure RESTful APIs for real-time sync.