Freelance boumsik khaled

Tested multiple deep learning models using TensorFlow and
unsupervised machine learning models using Keras.
Conducted data cleaning and preprocessing for the project's data.
Developed an algorithm to transform predictions into rules format
ready for integration into Drools.
Created a front-end with Angular and a backend with Spring Boot
using the hexagonal architecture for the web pages.
Deployed the machine learning model using Python-Flask.
Utilized MLOPS and SCRUM to structure the workflow.
Created a back-end using Flask for a current working project with
Flask Blueprint, SQL Alchemy, and a logger.
Worked on a large scale system leading the segmentation detection
classification technologies in terms of performance and efficiency
Worked on the creation of a new advanced form of YOLOV8,
replacing ULTRALYTICS functionalities which is the most popular
open source project.
Created Python scripts for the transformation and integration of the
YOLO format.
Trained multiple machine learning models using TensorFlow, NumPy,
and Pandas.
Developed scripts for the automatic integration of the YOLO format
with Label Studio.
Actively involved in helping integrate the use of machine learning into
the company.
Supervised an authentication project using object detection NLP and
image augmentation
Supervised a reverser engineering project using llama2 as a base
model
Creating a queueing system using RabbitMQ to optimize the usage of
our large machine learning based system