Skip to content
View RodrigoAlexander7's full-sized avatar
👽
👽

Organizations

@ConceptualArt

Block or report RodrigoAlexander7

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RodrigoAlexander7/README.md

Hi, I'm Rodrigo Alexander

IoT Cloud Engineer | Systems Architect | Backend Developer

I bridge the gap between physical hardware and cloud ecosystems—engineering deterministic embedded systems, low-power telemetry networks, and high-concurrency backends.


About Me

  • IoT & Systems Engineer specializing in constraint-driven environments, edge computing, and real-time data ingestion.
  • Robust foundation in Backend & Cloud Architecture (Hexagonal, Clean Architecture, DDD) using FastAPI, ASP.NET, and Spring Boot.
  • Hands-on experience with microcontrollers (ESP32, ESP32-S3), embedded Linux (Raspberry Pi), and RF protocols (LoRa, XBee).
  • Integrating Applied AI (RAG, Local LLMs like Gemini Nano) to build smart, data-driven hardware/software products.

Featured Engineering Case Study

A complete aerospace telemetry and imaging system designed to handle real-time data ingestion under strict bandwidth constraints.

  • Bandwidth Optimization: Implemented a non-blocking fragmentation algorithm to interleave stereo JPEG fragments into a 5 Hz sensor telemetry stream over a narrow 433 MHz LoRa link.
  • Deterministic Firmware (C++17): Designed a Finite State Machine (FSM) on a Raspberry Pi Zero 2W governed by sensor fusion thresholds (IMU + Altimeter) to isolate critical mission logic.
  • Reliable Data Ingestion: Developed a custom framing protocol (RTS) via USB Serial to prevent data corruption between the ESP32-S3 gateway and an asynchronous Python WebSocket server.
  • DevOps for Edge: Built a reproducible cross-compilation pipeline using Docker to target ARM architectures from x86 host machines.

Tech Stack

IoT & Embedded Systems

C/C++ · ESP32 / ESP32-S3 · Raspberry Pi · LoRa (SX1278) · XBee · MQTT · WebSockets · Custom Serial Protocols · FreeRTOS Concepts

Backend & Architecture

Python · TypeScript · Java · C# · FastAPI · NestJS · Spring Boot · .NET · Hexagonal Architecture · Clean Architecture

Cloud, DevOps & Databases

Azure (IoT Hub, IoT Edge) · AWS · Google Cloud · Docker · Linux (Bash) · PostgreSQL · MongoDB · Time-Series Data


Other Core Projects

  • Law Copilot: Intelligent legal assistant utilizing advanced RAG architectures and FastAPI over Google Cloud.
  • AI Learning Assistant: Educational platform integrating cloud APIs and local LLM execution using Gemini Nano.

Let's Connect!

Pinned Loading

  1. onisat-cansat-2026 onisat-cansat-2026 Public

    C++ 1

  2. Google-Built-in-AI-Challenge-2025 Google-Built-in-AI-Challenge-2025 Public

    TypeScript 4

  3. nasa-space-apps-challenge-2025 nasa-space-apps-challenge-2025 Public

    Hackaton Nasa Space Apps Challenge: Backend, try the complete app here! https://celestia-graph.vercel.app/

    Jupyter Notebook 1

  4. law-copilot law-copilot Public

    Python 1