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Tshepo L. Molane | tlmolane

What I am about

  • 👨‍💻   I'm on a journey in technology. I am interested in the application of artifical intelligence, cryptography and cloud computing. I code primarily in python but I am quite flexible in working and learning new languages. My goal is to learn and innovate solutions for variety of problems that are both personally interesting and relevant for my vocational interests.
  • 💼   I work at a start-up called Raphta. I build computer vision based artificial intelligence for clients with a variety of use cases. I have experience in integrating python-based machine learning programs with hardware for IoT solutions. For more on my professional background, you can visit my linkedIn profile.

What I believe in

✅ Competence. ✅ Authenticity. ✅ Shared consensus. ✅ Learning with a beginners mindset. ✅ Privacy and trust focused value. ✅ Ethics in creating value using technology and A.I.
✅ Being guided by curiosity in order to create and build.

My Github

  • 🚀   This is where you will find my projects written in Python, Tensorflow and Java. This git is new so more work will be available for use and review! My current project is Volt. See my public repositories.

Connnect with me

Tshepo L. Molane's Projects

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

intelligentedgehol icon intelligentedgehol

The IntelligentEdgeHOL walks through the process of deploying an Azure IoT Edge module to an Nvidia Jetson Nano device to allow for detection of objects in YouTube videos, RTSP streams, or an attached web cam

intelligentedgehol-1 icon intelligentedgehol-1

The IntelligentEdgeHOL walks through the process of deploying an IoT Edge module to an Nvidia Jetson Nano device to allow for detection of objects in YouTube videos, RTSP streams, or an attached web cam

jetson icon jetson

Experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

spec icon spec

Spec and acceptance tests for the Fernet format.

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