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👋 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 🤖

Baurice Nafack's Projects

benchmark icon benchmark

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

command-bleutooth icon command-bleutooth

Ce programme permet de recuperer les string envoyer depuis un telephone androide ver l'arduino. Ainsi donc, a travers se programme, on lit les donnee recu par Microcontroleur arduino afin de les exploite

covid_analysis icon covid_analysis

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.

foundations_of_hpc_2021 icon foundations_of_hpc_2021

This repository collects the materials from the course "Foundations of HPC", 2021, at the Data Science and Scientific Computing Department, University of Trieste

generic_algorithm icon generic_algorithm

A van in a shop must be filled to transport household appliances, its load must be optimized by maximizing the value of what is transported for a given volume. We have a file with occupied space, price and quantity of certain products

leukemia-data-analysis icon leukemia-data-analysis

Use unsupervised machine learning techniques to explore the Leukemia dataset by focusing more on dimensional reduction and clustering to find similarities between samples or how they are related to each other.

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