Outdoor image
matching
Computer vision deployed on NVIDIA Jetson
I researched and implemented image matching methods for outdoor environments, evaluated them on real-world data, and deployed the pipelines on Jetson Nano and Orin Nano.
Hi, I'm
I develop computer vision and AI systems, from outdoor image matching on Jetson devices to medical imaging and signal analysis.
View selected projects↓
Computer vision deployed on NVIDIA Jetson
I researched and implemented image matching methods for outdoor environments, evaluated them on real-world data, and deployed the pipelines on Jetson Nano and Orin Nano.
Real-time identification with application integration
I developed a server-based face recognition system for an attendance application. The work focused on real-time recognition and connecting the vision pipeline to the application.
Research across brain scans and cardiac signals
I worked on hemorrhage detection and volume estimation in CT scans, normality classification in brain MRI, and ECG P-wave analysis. The projects involved research, evaluation, and implementation using Iranian medical data.
Identity verification through audio features
I am developing a voice authentication project that explores audio processing and feature extraction for user verification. The project is currently in development.
Priority-aware pathfinding in a hospital simulator
I built a navigation simulator using A* and Dijkstra to plan routes with task priorities. OpenCV processes the hospital map, while a Tkinter interface supports the simulation.
Classical machine learning with mobile deployment
I benchmarked classical models, assessed their robustness, and exported a Random Forest model for on-device inference in Flutter using SkLite. The project is a research proof of concept.
Four areas that connect my work, from researching a method to deploying a working model.
COMPUTER VISION & IMAGE PROCESSING
Implementing image processing and recognition methods for outdoor scenes, faces, and medical images.
I am a Computer Science graduate from Razi University with experience in computer vision, medical AI, and edge deployment.
At CAITech, I researched existing methods, adapted them to project requirements, and implemented and evaluated models on real-world data. My interests include image matching, medical image analysis, ECG signals, and efficient AI deployment.
Download my résumé↓AI / Computer Vision Engineer
2025–2026 · Kermanshah, IranB.Sc. in Computer Science
2020–2025 · Kermanshah, Iran