I build production web/mobile applications and AI-powered systems, combining software engineering experience with Computer Science teaching and applied research.
📍 Surat, Gujarat, India 🇮🇳
Backend: Laravel • PHP • Node.js • Express.js • REST APIs
Frontend: React • Next.js • TypeScript • JavaScript • Angular
Mobile: Flutter • Android
Data & DevOps: MySQL • MongoDB • Redis • Docker • Nginx
AI & CV: Python • PyTorch • OpenCV • YOLO • RetinaFace • InsightFace
Digital platform for college operations built with Laravel 12, Filament 5, REST APIs, RBAC, Sanctum and FCM, designed to integrate with a Flutter mobile application.
⚡ QuizLive
Real-time classroom examination platform using Next.js, TypeScript, Express, Socket.io and MongoDB with QR joining, timed questions and live leaderboards.
📅 HeerMe
Full-stack academic productivity platform built with React, Express and MongoDB, featuring reminders, attendance analytics, academic scheduling and automated document generation.
Computer Vision project exploring face detection and recognition pipelines using Python and modern deep-learning models.
My research interests focus on:
Computer Vision • Face Detection • Face Recognition • Object Detection • Video Intelligence • Deep Learning
I work with technologies including YOLO, RetinaFace, InsightFace, ArcFace, FaceNet, MTCNN, OpenCV and PyTorch, with experimentation on datasets such as WIDER FACE, CelebA, LFW and COCO.
I teach Computer Science at the college level, covering modern web development, mobile development, databases, APIs, AI/ML and Computer Vision.
Teaching and engineering complement each other: understand the fundamentals, build practical systems, document decisions, and keep learning.
🌐 Website: nehalpatel.in 💻 GitHub: github.com/NehalPatel 📍 Surat, Gujarat, India