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Jorge-de-la-Flor/README.md

English | Español

Jorge de la Flor (aka FrostCore)

Python Rust C/C++ Embedded Systems HPC/HPEC Micro AI

Embedded Systems & Robotics Engineer

Rust & Python | Linux / Embedded Linux

Building cyber-physical systems from sensors to distributed machines

I build systems that live close to the data: microcontrollers, edge devices and integrations that connect hardware, software and business.

🧠 About me

  • Specialized in embedded systems, HPC/HPEC and Micro AI, with solutions in Python and Rust.
  • Background in International Business, which helps translate business needs into real technical systems.
  • I care about making things simpler, faster and more reliable for everyone.
  • I am always looking for ways to optimize each system a bit further.

🔬 Robotics & Systems Labs

These repositories explore fundamental engineering concepts commonly used in robotics and cyber-physical systems.

They focus on core engineering ideas rather than large production frameworks, illustrating the principles behind sensing, estimation, control, and distributed machine behaviour.

Core concepts explored

  • Perception and probabilistic sensing
  • Bayesian estimation and sensor fusion
  • Robot perception and environment representation
  • Feedback control and system dynamics
  • Embedded state-machine architectures
  • Distributed coordination of edge devices

Repositories

  • sensor-uncertainty-lab
    Experiments exploring probabilistic models of noisy sensor measurements.

  • bayesian-sensor-fusion
    Minimal implementations of Kalman filters, particle filters, and multi-sensor fusion.

  • robot-perception-lab
    Probabilistic perception techniques such as occupancy grids and localization.

  • control-systems-lab
    Feedback control experiments demonstrating PID controllers and system dynamics.

  • embedded-state-machine-systems
    Finite state machine architectures commonly used in embedded robotics systems.

  • edge-device-coordination
    Coordination patterns for distributed embedded nodes and edge devices.

🛠️ Tech stack

Area Primary use
🐍 Python Automation, backend APIs, tooling, data pipelines
🦀 Rust Systems, embedded, embedded-hal, safe low-level tooling
⚙️ C/C++ Arduino, ESP-IDF, STM32 (bare-metal / HAL), proprietary SDK integration
🔌 Embedded & IoT ESP32, STM32, Arduino; PlatformIO, ESP-IDF, STM32Cube; UART, I2C, SPI, MQTT
🐧 Linux Dev environments, automation, networking, edge integration
🗄️ Data & storage PostgreSQL, SQLite, ORM patterns, reporting
☁️ Cloud & APIs FastAPI / Flask APIs, integrations, webhooks, automation SaaS
  • Beyond the list of technologies, what matters to me is that every project has a clear purpose.

📫 Where to find me

  • 📧 Email: frostcore@jafa.dev
  • 💡 Open to collaboration on embedded systems, industrial automation, and innovative hardware–software integration.
  • 🌎 Available for remote consulting and technical advisory roles with international teams.

Pinned Loading

  1. sensor-uncertainty-lab sensor-uncertainty-lab Public

    Minimal experiments exploring probabilistic sensor noise modeling and state estimation in robotics systems.

    Python 1

  2. robot-perception-lab robot-perception-lab Public

    Experiments exploring probabilistic perception techniques used in robotics, including occupancy grids and localization concepts.

    Python 1

  3. bayesian-sensor-fusion bayesian-sensor-fusion Public

    Minimal implementations of Bayesian sensor fusion techniques including Kalman filters, particle filters, and multi-sensor estimation.

    Python 1

  4. control-systems-lab control-systems-lab Public

    Minimal simulations illustrating feedback control, PID regulation, and dynamic system behaviour in robotics and automation.

    Python 1

  5. embedded-state-machine-systems embedded-state-machine-systems Public

    Finite state machine architectures commonly used to structure behaviour in embedded robotics and cyber-physical systems.

    Python 1

  6. edge-device-coordination edge-device-coordination Public

    Experiments illustrating coordination patterns for distributed embedded nodes and edge computing systems.

    Python 1