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bnafack/README.md

👋 Welcome to Baurice Nafack's GitHub!

About Me

I'm Baurice Nafack, a passionate machine learning and data engineer dedicated to solving research questions and real-life business problems. My approach is rooted in a data-centric and model-centric philosophy, always seeking innovative solutions to push the boundaries of what's possible.

What I Do

  • 💡 I thrive on the intersection of innovation and problem-solving.
  • 🔧 My expertise includes refining algorithms, optimizing data pipelines, and driving impactful results.
  • 🌐 I'm deeply engaged in Machine Learning Operations (MLOps), ensuring seamless deployment, monitoring, and maintenance of machine learning models.

Let's Collaborate!

Let's connect and collaborate on projects that harness the power of data and machine learning to make a tangible difference in the world. Together, let's turn ideas into reality!

Get in Touch

Side projects

• User Interface Development: Developed an intuitive user interface (UI) using the React framework to collect audio input from users within the UI.

• API Communication: Established seamless communication with the back-end through RESTful APIs to facilitate the translation process

.Speech-to-Text Model Integration: Integrated and deployed a fine-tuned speech-to-text model on Linode cloud computing infrastructure.

• Cloud Deployment through Kubernetes: Employed Kubernetes cluster on Linode for efficient deployment of the developed application and its components.

•Continuous Integration Setup: Implemented a robust continuous integration pipeline using Jenkins to streamline development, testing, and deployment processes. Set up an Intel Developer Cloud computer instance to build, test, and push the docker image on the Docker hub.

• Developed a multilingual speech data collection system to facilitate creation of an adaptive speech recognition system utilizing pre-trained models.

Tags

#MachineLearning #DataEngineering #MLOps #InnovationEnthusiast 🤖

Pinned Loading

  1. benchmark benchmark Public

    This section goal is to study the latency and bandwidth using Intel MPI and openmpi on HPC cluster using PingPong

    R

  2. covid_analysis covid_analysis Public

    In this project, the goal is to predict the number of intensive care units (terapia_intensiva) in Campania region, Italy from 02 to 15 February 2021.

    R

  3. MPI MPI Public

    C++

  4. ring ring Public

    The whole point of MPI (Message Passing Interface) is to make processes communicate. Point-to-point communication is divided into two operations: Send and Receive. Its most basic form is called blo…

    C++

  5. NBA_GAMES NBA_GAMES Public

    The project aims to predict the winner of a basketball game, the ranking of the NBA Playoffs, the winner of each conference, as well as the winner of the NBA.

    R 1