8000 CuriousDolphin (Ivan Murabito) · GitHub
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building magic things
🌈
building magic things
  • Italy

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@FocoosAI

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CuriousDolphin/README.md

👋 Hi! I'm Ivan Murabito, aka CuriousDolphin 🐬

I have no special skills, I just have a big hammer. 🔨

🔍 About Me

I am an AI Software Engineer specializing in Computer Vision applications 🤖.

My work spans Machine Learning 📚, MLOps 🔄, Cloud Engineering ⛅️ and Fullstack Development 🌐.

I've had the pleasure to contribute to the growth of: FocoosAI, OverIT.ai, Enerbrain.

👀 My Interests

  • 🤖 Computer Vision
  • 🌱 Sustainability
  • 👐 Open Source
  • 🕹️ Edge AI and IoT
  • 🎥 Video Live Streaming
  • 🏍️ Motorcycles
  • 🚁 Drones
  • 🏠 Home Automation
  • 🎮 Gaming

🛠️ My Tech Stack

💻 Languages
Python

🚀 API Frameworks
FastAPI

🧠 Model Serving
Ray NVIDIA Triton

📦 Deployment
Docker Kubernetes GitHub Actions ArgoCD Helm

📈 Monitoring
Grafana Sentry Weights & Biases

📚 AI/ML Libraries
OpenCV PyTorch Transformers ONNX Runtime

🌐 Frontend/Mobile
Angular Flutter Gradio Streamlit

🔐 Authn/Authz
OPA (Open Policy Agent) Auth0


📊 GitHub Stats


🧘 The Zen of Python 🐍

The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
86A1 Although never is often better than right now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!


📫 Get in Touch


🚀 Feel free to explore my repositories, fork projects, or reach out if you'd like to collaborate on AI, Computer Vision, MLOps, or Open Source projects!

Pinned Loading

  1. YoloGP YoloGP Public

    🤖 autodistillation groundingSAM ->yolov8 🏍️

    Jupyter Notebook

  2. deepL_compression_box deepL_compression_box Public

    An object dection models toolkit: Quantization, Pruning and modular Inference, enriched with metrics

    Python 2

  3. nfc_st25_flutter_plugin nfc_st25_flutter_plugin Public

    A flutter plugin that allow ipc communication with ST25-Family dynamic nfc

    Java 2

  4. yolov5-knowledge-distillation yolov5-knowledge-distillation Public

    Forked from ultralytics/yolov5

    YOLOv5 Knowledge distillation

    Python 2 1

  5. jetson_hass_grafana jetson_hass_grafana Public

    Jetson nano + Home Assistant + Grafana + Prometheus = <3

    Python

  6. nvidia-dind-actions-runners nvidia-dind-actions-runners Public

    6 1

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