The process: Design, Innovate and Develop. Merging software intelligence with hardware reality.
Developing an AI smart assitant that listens for commands and responds with grounded information. Voice data is processed through the microcontroller and sent to Gemini API for Speech To Text processing. The response is then transmitted to another AI API for Text To Speech processing.
CORE HARDWARE
CORE SOFTWARE
3D printed cars designed in 1:18 scale with Arduino microcontrollers, operated with Bluetooth technology. A secondary automated self-driving mode of control is built-in with assistance from RFID hardware and infrared sensors.
3D designed and printed cars created in 1:32 scale utilizing Arduino microcontrollers, operated with Bluetooth technology. A secondary automoted self-driving mode is added using infrared sensors and color sensor technology.
NetSuite ERP Administrator for business operations with primary responsibilities being to manage the configuration, maintenance, and optimization of the platform to ensure every department - from accounting to supply chain runs smoothly. Beyond technical upkeep, also acting as a bridge between the software and the people using it.
Salesforce System Administrator is the "mission control" for a company's sales and service operations. Going well beyond tech support, and acting as the bridge between complex business requirements and the technology that makes those goals happen. Key responsibility of building tool to facilitate end user adoption and success.
Analysis of physical compute modules and industrial processing units utilized on most projects.
Deterministic Latency: Lack of OS jitter ensures pulses at exact 20μs intervals for motor control.
I/O Mastery: Integrated ADCs and ISRs for high-precision sensor sampling.
Efficiency: Capable of running for years on a small battery or solar cell.
Managed OS: Run Git, Docker, and SSH directly on the device for cloud-ready Edge tasks.
Concurrency: Multi-core ARM processor allows simultaneous databases and web servers.
Vision: Dedicated CSI/HDMI ports for OpenCV tasks that overwhelm simple MCUs.
Tooling Speed: High clock speeds reduce 10-minute Pi builds to 10-second desktop builds.
GPU Acceleration: Capability for CUDA machine learning and DirectX rendering.
I/O Ecosystem: NVMe storage and multi-monitor setups for rapid developer I/O.
Fault Tolerance: ECC RAM and RAID prevent silent data corruption and hardware failure.
Throughput: 64+ core counts designed for thousands of simultaneous network requests.
Remote Access: IPMI/iDRAC allows BIOS-level management even if the OS is frozen.
Moving AI from the cloud to the device. By running models locally on MCUs and SBCs, we eliminate latency and ensure privacy for real-time sensor processing.
Quantizing deep learning models to fit within the kilobyte-range RAM of microcontrollers, bridging high-level logic with bare-metal hardware.
Utilizing specialized silicon (NPUs and TPUs) to handle the matrix math of AI, allowing low-power hardware to perform complex computer vision tasks.
Comparative analysis deconstructing the stack: Interface between virtualized software, development environments and physical hardware controllers.