Full-time computer science engineer with two years years of experience in data engineering and data science, passionate about understanding and extracting value from data.
Develop pypi packages to scrap data from social media platforms
(snapchat, gamespot, tumblr, reddit) using Python, Git and Selenium.
Create data pipelines to consume, clean, store and analyse raw data using
Docker, Airflow, Kafka, Postgres, MinIO and Deep Learning deployed
models with FastAPI.
Implement and deploy APIs and KPIs using Docker, Django and
FastAPI.
Propose MCDs and pipelines tot optimise and scale communication with
data base.
Develop many authentification and alerting solutions using Django and
Postgres.
Implement Unit tests and exception management systems
Wrote a scientific paper about Violence detection in videos using computer vision and deep learning for ICMLC 2023-Conference.
Developed pypi packages to scrap data from social media platforms (snapchat, gamespot, tumblr, reddit) using Python, Git and Selenium.
Created a data pipeline to consume, clean, store and analyse raw data using Docker, Airflow, Kafka, Postgres, MinIO and Deep Learning deployed models with FastAPI.
Implemented and deployed APIs and KPIs using Docker, Django and FastAPI.
Proposed MCDs and pipelines that optimised and scaled communication with data base.
Developed many authentification and alerting solutions using Django and Postgres.
Implemented Unit tests and exception management system.
Implemented a violent content detection system based on computer vision and deep learning using OpenCV, CNN, GRU.
Optimized the system using key frame extraction methods, batch inference and multi-processing.
Deployed the model using Docker and FastAPI.
Developed a smart RADAR based on Computer Vision and deep learning using OpenCV, MobileNetSSD, CNN, LSTM.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
