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.
Hi, my name is
About Me
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:- Python
- C/C++
- Java
- C# / .NET Core
- Machine Learning
- Docker & Cloud
- Linux & System Programming
- IoT & Embedded Systems
Experience
Junior Researcher
-
AMI Research Group, Saxion University
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.
- Implemented GNSS data streaming with RTK correction achieving ~20cm accuracy
- Developed probabilistic decision-making framework reducing false alarms by 30%
- Built embedded Linux services with automatic recovery and fault isolation
- Presented: “A Probabilistic Approach for a Robust Safety Warning System” at ICT.OPEN 2025
Software Developer
-
MTN Irancell Arak Service Center
Automated Accounting & Staff Monitoring System: Designed and developed a comprehensive .NET system with JWT/OAuth authentication and SQL backend.
- Increased operational efficiency by 25% through Python automation scripts
- Achieved 100% accuracy in financial reporting
- Developed integrated Android application for real-time access
- Implemented robust security measures and role-based access control
Team Management & Technical Support: Managed and trained customer service team while providing technical support.
- Improved team efficiency and reduced response time by 30%
- Achieved 91% customer satisfaction rating
- Implemented data security best practices and system training programs
Education
Sep 2022 - Aug 2026
Bachelor of Applied Computer Science
Saxion University of Applied Sciences
GPA:
9.0/10 (Propedeuse summa cum laude)
Currently pursuing my bachelor’s degree with focus on:
- Digital Systems & FPGA Programming
- IoT and Embedded Systems
- Machine Learning & AI
Sep 2019 - Jul 2022
Bachelor Computer Engineering (incomplete)
Azad University (IAU)
Completed 6 of 8 semesters towards Bachelor’s degree
Specialized in:
- Software Engineering & System Architecture
- Research Methodology
- Computer Architecture
- Signal Processing
Sep 2015 - Aug 2019
Bachelor Mechanical Engineering (incomplete)
Azad University (IAU)
Completed 7 of 8 semesters towards Bachelor’s degree
Foundation in:
- Engineering Mathematics & Physics
- Control Systems
- CAD/CAM Design
- Project Management
Featured Projects
Python
Linux
GNSS/RTK
Embedded
GeoSaFence Embedded System
GNSS-based geofence safety system for excavators with RTK correction and probabilistic decision-making.
Key Features:
- ~20cm positional accuracy with RTK
- 30% reduction in false alarms
- Modular Linux service architecture
- Real-time TCP/WebSocket streaming
C/C++
LIDAR
PID Control
Microcontrollers
Autonomous RC Car
Led 6-member team designing autonomous RC car with LIDAR sensors, PID control, and advanced navigation.
Achievements:
- 98% path accuracy
- Obstacle avoidance & line tracking
- Adaptive hill-climbing capabilities
- Real-time sensor fusion
.NET Core
SQL Server
JWT
MVVM
E-commerce Platform
Full-stack e-commerce platform with JWT authentication, dynamic cart management, and role-based admin controls.
Features:
- .NET Core backend with SQL database
- Stress-tested with 500+ transactions
- MVVM design pattern
- Comprehensive security measures
ESP32
IoT
C/C++
Sensors
Smart Health Monitoring Wearable
IoT wearable device using ESP32 for real-time health monitoring with fall detection and biometric data collection.
Capabilities:
- 90% fall detection accuracy
- Heart rate & temperature monitoring
- OTA firmware updates
- Real-time data transmission
Python
Kalman Filter
Bayesian
GNSS/RTK
GeoSaFe Probabilistic Decision Framework
Probabilistic model improving decision reliability in GNSS-based geofence safety systems.
- Kalman filtering for GNSS smoothing and uncertainty modeling
- Bayesian-inspired likelihood and confidence estimation (PDF/CDF)
- ~30% reduction in false alarms; ~20cm accuracy with RTK
Python
MQTT
Azure IoT Hub
Sensors
Weather Station IoT Ecosystem
Distributed sensor network with cloud dashboard for real-time environmental analytics.
- Python backend with MQTT messaging
- Azure IoT Hub integration and live visualization
- Multiple sensor nodes and historical analytics
C++
Python
ROS2
Control Systems
ANSYS
High-Precision Magnet Placement Robot
Precision robot with physics-based simulation and closed-loop control.
- C++/Python control stack with ROS2
- 0.025mm positional accuracy via feedback control
- ANSYS-assisted modeling and trajectory planning
VHDL
FPGA
UART
VGA
FPGA-based ALU & VGA Display
VHDL ALU with basic instructions and a UART with VGA generator for real-time text rendering.
- Designed and synthesized ALU instructions in VHDL
- Implemented UART protocol and 1080p/60Hz VGA timing
- Timing analysis and debugging with Quartus toolchain
NIOS II
FPGA
Embedded C
NIOS II Embedded Processing Unit
Soft-core processor integration with custom FPGA peripherals and embedded C validation.
- NIOS II system integration and peripheral mapping
- Embedded C programs for hardware validation and I/O testing
Linux Kernel
C
Device Drivers
I2C/SPI
Linux Kernel Driver for Embedded Sensors
Custom Linux character device driver for reliable hardware–software communication.
- I2C/SPI user-kernel interface, concurrency-safe design
- Systematic debugging with GDB and stress testing
Compilers
ANTLR/LEX/YACC
C/C++
Procedural Programming Language Compiler
From-scratch compiler implementing lexing, parsing, and code generation.
- Built with ANTLR/LEX/YACC toolchain
- Control structures, arithmetic ops; 10–20% faster runtime vs baseline
Computer Vision
MobileNetV2
Python
Robotics
GUI
Eye-Tracking Robot & Logo Detection
Embedded vision system combining logo detection and face-tracking robot.
- MobileNetV2 transfer learning with synthetic data pipeline
- 91.2% logo detection, 98.7% face recognition; real-time servo tracking
- Web dashboard and desktop GUI for control/visualization
Python
Docker
Airflow
MLflow
Grafana
InfluxDB
XGBoost
MLOps Pipeline for e-nose Predictions
End-to-end MLOps pipeline for environmental e-nose data modeling and deployment.
- Python, Docker, Airflow, MLflow, Grafana, InfluxDB
- Ingestion, preprocessing, training (XGBoost/Chronos), CI/CD deployment
- Achieved RMSE 0.15; 40% faster model deployment time
Achievements & Publications
Propedeuse Summa Cum Laude
Achieved highest academic distinction (GPA 9.0/10) at Saxion University
98% Autonomous RC Car Accuracy
Led team project achieving 98% path accuracy with obstacle avoidance and line tracking
4+ Years Professional Experience
Gained diverse experience across web development, Android, embedded systems, and IoT
Get in Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!