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shoaibaliwains

Shoaib Ali

@shoaibaliwains
5.0(19)

Level 1

Electronic engineer, Expert in Arduino, ESP32, IOT and AI Projects

Pakistán
Inglés, Alemán, Francés, Español
Parte de la información aparece en idioma inglés.
Sobre mí
Full-Stack AI &IoT Developer & Embedded Systems Engineer With an M.Sc. in AI & Robotics, I bridge the gap between physical hardware and digital ecosystems to build end to end solutions. Expertise: • Hardware & Edge AI: Raspberry Pi, ESP32, Arduino, MicroPython. • IoT & Networks: MQTT, BLE, REST APIs. • Software: Python, Flask, React.js Dashboards. • Robotics: Autonomous Systems & Sensor Fusion. From microcontrollers to web interfaces, I deliver scalable and production ready architectures. Let's discuss your project!... Lee más

Habilidades

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shoaibaliwains
Shoaib Ali
USD 20/hora
desconectado • 
Tiempo medio de respuesta: 2 horas

Revisa mis servicios

Sistemas integrados e IoT
I will code arduino, esp32, iot and raspberry pi programming
5.0(16)
Sistemas integrados e IoT
I will develop custom esp32, arduino and iot based embedded systems
5.0(2)

¿Quieres trabajar por horas?

Dile a Shoaib Ali qué necesitas.

USD 20

/

hora

Porfolio

Experiencia laboral

Robotics & Autonomous Systems Developer

Venato AI • Freelance

Mar 2026 - Mar 20260 mos

Freelance Robotics & Autonomous Systems Developer Specialized in delivering real-world autonomous systems combining low-level hardware integration with intelligent software architecture providing complete, production-ready solutions from wiring to deployment. Key Project Autonomous Vessel Control System: Engineered a fully autonomous surface vessel control system built on a Raspberry Pi 4 paired with a BlueRobotics Navigator HAT for real world open water operation. Designed complete hardware architecture including dual thruster ESC control via PWM channels, RC receiver integration over SBUS/UART for manual override, and a RockBLOCK Iridium satellite module via USB to RS485 enabling remote telemetry even without cellular or Wi-Fi coverage. On the software side, developed a modular Python-based autonomous control stack with I2C and hardware Serial interfaces, and implemented a hardware watchdog timer for automatic system recovery in case of crashes a critical failsafe for unmanned vessels operating far from shore. Built a clean config.py-based settings system allowing easy parameter adjustments without touching core logic, and engineered graceful shutdown handling to safely disarm thrusters on termination. Delivered comprehensive setup documentation covering OS configuration, hardware interfaces, and deployment ensuring the client could operate and maintain the vessel independently. Key Technologies: Raspberry Pi 4, BlueRobotics Navigator HAT, Python, PWM, SBUS/UART, RockBLOCK Iridium, I2C, Hardware Watchdog, RS485, Embedded Linux

Fiverr

Fiverr

Freelance • 1 mo

Senior Embedded Systems Engineer

Oct 2025 - Oct 20250 mos

Freelance IoT Solutions ArchitectWorked as an independent developer specializing in IoT, embedded systems, and real-time data solutions delivering complete hardware to software products for clients requiring custom technical builds from the ground up.Key Project "Real-Time Bluetooth Foot Traffic System":Designed and developed a fully functional distributed IoT foot traffic monitoring system that bridges edge hardware with a central data aggregator. The system utilizes a network of sensors to continuously detect Bluetooth devices across different spatial zones, providing live occupancy counts every 10 seconds. On the backend, configured a central Raspberry Pi hub running a Mosquitto MQTT broker to manage incoming data streams. Built a robust Python aggregator script utilizing the paho-mqtt library that establishes the network connection, processes zone-specific device counts, and generates real-time status reports detailing total active devices. On the edge hardware side, programmed multiple Raspberry Pi Pico 2 W microcontrollers using MicroPython to act as distributed zone sensors. Integrated the micropython-umqtt.simple library via Thonny IDE, allowing each uniquely named Pico "pico_sensor_entrance" to transmit local Bluetooth detection data seamlessly to the central hub. Managed the complete project lifecycle independently including hardware setup, firmware flashing, backend network configuration, cross-layer integration, and final deployment. Delivered comprehensive setup documentation covering every step from OS installation to running the complete network, ensuring the client could operate, deploy, and scale the sensor system confidently without technical assistance. Key Technologies Used: Raspberry Pi, Raspberry Pi Pico 2 W, Python, MicroPython, MQTT Protocol (Mosquitto, paho-mqtt), Bluetooth/BLE, Thonny IDE.

Full-Stack IoT & Embedded Systems Developer

Mar 2025 - Apr 20251 mo

Freelance Full-Stack IoT & Embedded Systems Developer Worked as an independent developer specializing in IoT, embedded systems, and real-time data solutions delivering complete hardware to software products for clients requiring custom technical builds from the ground up. Key Project "Revvy" Vehicle Telemetry Dashboard: Designed and developed "Revvy", a fully functional Raspberry Pi-based smart vehicle telemetry system that bridges embedded hardware with a modern web interface. The system connects to a car's OBD2 port via a Bluetooth ELM327 adapter, continuously polling live vehicle diagnostics including engine RPM, vehicle speed, and fuel level in real time. On the backend, built a robust Python/Flask REST API server that establishes and manages the Bluetooth OBD2 connection, queries vehicle data using the Python OBD library, and exposes clean API endpoints to serve live metrics to the frontend. The server was configured to run directly on the Raspberry Pi, making the entire system self contained and portable. On the frontend, developed a responsive React.js dashboard that fetches live data from the Flask API every second using Axios, displaying real-time vehicle metrics in a clean and intuitive interface. The dashboard was designed with scalability in mind, making it straightforward to add additional gauges, alerts, or animation layers using libraries like Framer Motion or Lottie in future iterations. Managed the complete project lifecycle independently including hardware setup, Bluetooth pairing, backend API development, frontend dashboard creation, cross-layer integration, and final deployment on the Raspberry Pi. Delivered comprehensive setup documentation covering every step from OS installation to running the full stack, ensuring the client could operate, maintain, and expand the system confidently without technical assistance. Key Technologies Used: Raspberry Pi, Python, Flask, OBD2/ELM327, React.js, Axios, Node.js, REST API, Bluetooth Integration

19 Reseñas
5.0

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Desglose de calificaciones
  • Nivel de comunicación del Freelancer
    4.9
  • Calidad de la entrega
    5
  • Valor de la entrega
    5
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