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Achievements

Achievement: StarstruckAchievement: Pull Shark

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@AHSB-Co

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Xilover/README.md

title Ryan Morales

Chief Technology Officer, AHSB Co.

As the CTO of AHSB Co., I oversee the strategic and technical direction of our company, focusing on cutting-edge solutions in the fields of AI, IoT, and edge computing. With a strong background in embedded systems, wireless communication, and mobile app development, I am passionate about developing ultra-efficient, scalable, and secure technologies.

My expertise includes working with real-time operating systems (RTOS), FPGA development, and low-power IoT devices, integrating industry-leading platforms such as AWS IoT and Azure IoT. I specialize in designing systems that utilize wireless technologies like Bluetooth 5.0, LoRaWAN, LTE/NB-IoT, Zigbee, UWB, and SDR. Additionally, I am adept at developing mobile solutions using Flutter, React Native, and Android for seamless user experiences.

At AHSB Co., I lead a dedicated team in pushing the boundaries of edge computing, leveraging advanced techniques such as digital signal processing (DSP), computer vision, TensorFlow Lite, and edge AI to provide real-time insights and solutions.

  1. Embedded Systems

    • ESP32, STM32, nRF, FPGA
    • Bare-metal programming
    • RTOS (Real-Time Operating Systems)

  2. Mobile Development

    • Flutter
    • React Native
    • Android

  3. IoT and Wireless Technologies

    • Bluetooth 5.0
    • Wi-Fi
    • LoRaWAN
    • LTE/NB-IoT
    • Zigbee
    • UWB (Ultra-Wideband)
    • SDR (Software-Defined Radio)
    • AWS IoT, Azure IoT

  4. User Interface Development

    • LVGL (Light and Versatile Graphics Library)
    • React, Angular

  5. Edge Computing

    • Digital signal processing (DSP)
    • Computer vision
    • TensorFlow Lite
    • Edge AI

  6. FPGA Development

    • High-speed embedded systems
    • Custom hardware design

  7. Cloud and Backend Systems

    • Integration with AWS IoT and Azure IoT
    • ASP.NET Core, Django, Express

Pinned Loading

  1. IoT-and-Edge-Computing IoT-and-Edge-Computing Public

    Hands-on learning experience in IoT, edge computing, and embedded systems using a variety of platforms such as microcontrollers (nRF, STM32, ESP32), FPGAs (Xilinx), and SoCs (Raspberry Pi, Zynq).

    C 8

  2. Heterogeneous-Computing Heterogeneous-Computing Public

    Comprehensive open-source curriculum for mastering heterogeneous computing architectures and optimization.

    C 6

  3. tensorflow tensorflow Public

    Forked from tensorflow/tensorflow

    An Open Source Machine Learning Framework for Everyone

    C++ 11 1

  4. opencv opencv Public

    Forked from opencv/opencv

    Open Source Computer Vision Library

    C++ 6

  5. Xilinx/PYNQ Xilinx/PYNQ Public

    Python Productivity for ZYNQ

    Jupyter Notebook 2k 813

  6. Kria-PYNQ Kria-PYNQ Public

    Forked from Xilinx/Kria-PYNQ

    PYNQ support and examples for Kria SOMs

    Jupyter Notebook 7