About Us

Mohamed Ismail

Founder

Automation Engineer & IoT Engineer

I design and develop end-to-end automation, IoT, AI, and predictive control systems. With experience building 5+ large-scale IoT solutions and 204+ integrated automation platforms, I manage the complete technical lifecycle from system architecture and full-stack development to cloud deployment and data management.

Key Projects

Enterprise AI Automation Platform: Architected a business automation ecosystem with AI agents, predictive workflows, operational dashboards, order management, automated customer communications, AI-powered inventory monitoring, financial intelligence analytics, social media automation, ad campaign tracking, and voice-controlled business intelligence.
Smart City & Predictive Safety Network: Designed a municipal automation infrastructure featuring AI-powered emergency detection, automated dispatch to emergency services, smart streetlighting systems, and energy-harvesting kinetic speed bump technology for sustainable urban operations.

What You'll Gain

Master AI Automation
Design Advanced Technology Systems
Architect Databases & Memory Management
Apply Advanced Analytics Techniques
Build Web Applications & IDEs

Embedded Systems Engineer & Integration Test Engineer

Embedded Software Engineer with extensive experience in integration testing and advanced hardware/software debugging for safety-critical automotive systems. I have worked on projects for elite German luxury manufacturers and leading multi-brand global automotive conglomerates, executing comprehensive integration testing to validate their software components.

Key Projects

ADAS Front Camera Integration Project: Drove end-to-end system validation and integration testing for the Front Camera ECU, specializing in verifying safety-critical modules across HLD, FOSA, and Non-FOSA software components to ensure functional safety and architectural compliance for a leading German Automotive OEM.
High-Speed Networking & Communication Project: Executed advanced hardware/software debugging and integration testing for a premium Front Camera system, focusing on the verification of critical vehicle signals and time-sensitive data communication over CAN and Automotive Ethernet networks.
360° Surround View Camera Fusion Project: Led the integration validation and testing for a high-end 360-degree camera system, verifying high-throughput camera data streams, signal integrity, and cross-functional sensor data fusion across a major European vehicle platform.
Safety-Critical OS & Performance Validation Project: Specialized in testing safety-critical OS and hardware modules for a Scandinavian Automotive platform, executing precise measurements and validation for system performance bottlenecks including CPU load, strict timing constraints, task scheduling, and Watchdog functionality.
MCAL & Safety-Critical Validation Project: Developed and executed robust integration test suites for MCAL safety-critical modules on a major European Tier-1 project, validating Watchdog, internal temperature monitoring, E2E communication over CAN/LIN, secure booting sequences, ECC, and MPU configuration.

What You'll Gain

Master Integration Testing & System Validation
Design Fault-Tolerant Systems with Zero-Error Tolerance
Build Resilient Architectures with Advanced Error Handling

System Validation Engineer

Drive end-to-end system validation and integration testing for "Telematics projects". Specialize in verifying safety-critical automotive modules

Key Projects

Telematics Project: Validated the critical integration of the Airbag Control Unit with telematics modules to ensure automated triggering of emergency calls (eCall/Assist Call), verified cellular modem and GNSS/GPS positioning reliability, and executed UDS diagnostics for cross-functional defect resolution.

What You'll Gain

Master End-to-End System Validation from the User's Perspective

Embedded Linux Engineer & Machine Learning Engineer

Architect and develop autonomous systems, computer vision solutions, and AI-integrated embedded platforms across automotive, medical, defense, and robotics industries. Built 60+ AI-powered edge vision systems delivering real-time inference, sensor fusion, and high-performance deployment from machine learning models to low-level hardware.

Key Projects

Humanoid Robotics Platform: Engineered a human-like robotic system with real-time facial and object recognition, contextual behavioral responses, synchronized gesture control, and AI-powered voice cloning for natural human interaction.
Autonomous Driving & Edge-AI Vehicle System: Developed an end-to-end autonomous vehicle platform featuring sensor fusion, traffic sign recognition, lane tracking, adaptive steering, GPS-based navigation, and real-time obstacle detection with automatic emergency braking.

What You'll Gain

Develop & Deploy Computer Vision Applications for Security and Business Automation
Train and Fine-Tune Custom Machine Learning Models
Master Foundations of Robotics and Anthropomorphic Systems
Automate Inventory Management and Low-Value Tasks Using Robotics
Leverage AI Agents, Large Language Models (LLMs), and Agentic Workflows

Electronic Engineer & Hardware Engineer

Designed 193+ electronic circuits and 117+ hardware systems, with expertise in PCB development, component selection, hardware validation, and advanced debugging. Proficient in precision testing using oscilloscopes and multimeters to ensure reliable microcontroller and embedded system performance.

Key Projects

Smart Sensor Data Acquisition Board: Designed and prototyped a custom PCB to interface multiple analog sensors with a central microcontroller. Handled the complete hardware lifecycle from component selection to schematic design and used oscilloscopes and multimeters to debug power lines, verify signal levels, and guarantee stable data communication.