Together

Let's develop and deploy your futur
WebApp Ideas

Contact Me

About Me

Hello! My name is Saber Hemaidia from France and I enjoy developing and deploying database solutions into production. With my 5 years experience from the energy to automotive industry, I specialize in managing large datasets to develop seamless data-driven applications.

My recent projects focus on delivering user-friendly APIs and web applications using Flask, Django, or FastAPI, designed to empower end-users to access, understand, and effectively leverage data. These solutions are deployed on data lakes, data warehouses, or cloud platforms such as AWS and Azure.

Technical Skills

  • Python
  • Pyspark
  • MySQL
  • Django
  • FastAPI
  • Tensorflow
  • Docker
  • AWS/Azure
  • CI/CD
  • Gitlab
  • Airflow
  • Jenkins

Portfolio

Most recent work

Enedis Open Data

Extracted transformed and updated electrical consumption data of french residents using Python, Gitlab, Hadoop..., from Enedis Hadoop datalake to our PosgreSQL server
Analyzing consumption-saving efforts across sectors like residential, industrial and commercial, as well at the regional level using PowerBI and machine learning models.

Face 2 Avatar

Developped and deployed on AWS cloud a Facial feature classification API with Flask to create avatar with users' profile pictures using
U-Net segmentation and CNN image classification with Tensorflow, Python and OpenCV.

Autonomous Driving algorithms

Collecting data from the differrent sensors of the car to code Autonomous Driving Car's features.

Stereo Camera calibration

Collecting images from different angles to estimate object length

Services

Fully deploy machine learning models to production

Data
Analysis

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Visualize and interpret datasets

  • Data collection.

  • Reformate and reshape data.

  • Image pre-processing with OpenCV.

  • Data visualization with PowerBI.

  • Creation and review of graphs for marketing and business decisions.

Machine
Learning

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Using the latest AI models.

  • Predictive Machine Learning development with Scikit-Learn, Tensorflow, XG-Boost...

  • Image classification using CNN, LLM and transformers models.

  • Image segmentation of your images using U-Net.

  • Deploying, monitoring, and scaling machine learning models into production using Docker, Kubernetes, AWS, CI/CD.

Web App Deployment

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Making your ML models prediction user friendly.

  • Your PostgreSQL or NoSQL database hosted on AWS or Azure

  • Friendly User and customable WebApp Interface on your demands.

  • Django/Flask API deployement using Docker Compose.

  • Performance and cost optimization of your WebApp.

Contact Me

Let's discuss about your futur project.

Call Me

+33 760 536 604

Email

saber.hemaidia@gmail.com

Location

France - Paris

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