Ali Mobini.
I build intelligent systems for the future
A passionate software engineer and researcher with expertise in IoT, embedded systems, backend development. I bridge the gap between hardware and software to create innovative solutions.
A passionate software engineer and researcher with expertise in IoT, embedded systems, backend development. I bridge the gap between hardware and software to create innovative solutions.
I am a fourth-year Applied Computer Science student at Saxion University with four years of professional experience in web applications, embedded systems, and IoT.
With a unique background spanning Computer Science, Computer Engineering, and Mechanical Engineering, I excel at solving complex interdisciplinary problems. Currently working as a Junior Researcher at AMI Research Group, where I develop GNSS-based safety systems and probabilistic decision-making algorithms.
I am proactive, systematic in my approach, and passionate about learning and sharing knowledge. I almost never say no when asked for help!
Here are my key technical skills:GeoSaFence Safety Alarm System: Researched and developed a geofence safety alarm system in collaboration with Witteveen+Bos, improving system efficiency by 30% using advanced filtering and decision-making algorithms.
Automated Accounting & Staff Monitoring System: Designed and developed a comprehensive .NET system with JWT/OAuth authentication and SQL backend.
Team Management & Technical Support: Managed and trained customer service team while providing technical support.
Currently pursuing my bachelor’s degree with focus on:
Completed 6 of 8 semesters towards Bachelor’s degree
Specialized in:
Completed 7 of 8 semesters towards Bachelor’s degree
Foundation in:
GNSS-based geofence safety system for excavators with RTK correction and probabilistic decision-making.
Key Features:
Led 6-member team designing autonomous RC car with LIDAR sensors, PID control, and advanced navigation.
Achievements:
Full-stack e-commerce platform with JWT authentication, dynamic cart management, and role-based admin controls.
Features:
IoT wearable device using ESP32 for real-time health monitoring with fall detection and biometric data collection.
Capabilities:
Probabilistic model improving decision reliability in GNSS-based geofence safety systems.
Distributed sensor network with cloud dashboard for real-time environmental analytics.
Precision robot with physics-based simulation and closed-loop control.
VHDL ALU with basic instructions and a UART with VGA generator for real-time text rendering.
Soft-core processor integration with custom FPGA peripherals and embedded C validation.
Custom Linux character device driver for reliable hardware–software communication.
From-scratch compiler implementing lexing, parsing, and code generation.
Embedded vision system combining logo detection and face-tracking robot.
End-to-end MLOps pipeline for environmental e-nose data modeling and deployment.