A self-motivated technology enthusiast, working on various Artificial Intelligence and Machine Learning projects. A good communicator, a self-learner & an effective leader who believes strongly in teamwork.
Working as a data scientist at ML1 with the same responsibilities, as ML1 is a company derived from the Programmers Force.
Working as a data Scientist with over 3 yeares of experience. I solve real-life problems through AI and machine learning models with minimum latency. I also manage my team of 5 developers.
Working as a data scientist at ML1 with the same responsibilities, as ML1 is a company derived from the Programmers Force.
Made models for 220+ countries which are currently being used to detect fraud.
Implemented neural networks and computer vision techniques to solve technical problems.
Did multiple experiments to improve the prediction of the models more accurately.
Solved problems through machine learning based on images, along with optimization of code.
Created a database for a specific problem of matching hashes of images.
Pre-processed data in Python, pandas, and NumPy.
Filtered the images accordingly to highlight features.
Used Google OCR to extract data from images and use it accordingly.
Used state of the art techniques on images for object detection like Mask R-CNN and YOLO v3.
Used machine learning algorithms for image forgery detection (U-Net binary semantic segmentation, Inception, Error Level Analysis, SRM Filtering with ELA, ResNet 101, MobileNet, etc.).
Automated process and pipeline for smooth operations.
Worked as a team lead and a manager.
Made models for 220+ countries which are currently being used to detect fraud.
Implemented Neural networks and Computer Vision techniques to solve technical problems.
Did some number of experiments to improve the prediction of the models more accurately.
Solve problems through machine learning based on the images, along with optimization of code.
Created a database for a specific problem of matching hashes of images.
Pre-Processing data in python, pandas, and NumPy.
Filtering the images accordingly to highlight features.
Used Google OCR to extract data from images and use it accordingly.
Used State of Art Techniques on images for object detection like MaskRCNN and Yolo v3.
Used Machine learning algorithms for image forgery detection (UNET binary semantic segmentation, Inception, Error Level Analysis, SRMFiltering with ELA, Resnet 101, Mobile Net, etc).
Automating process and pipeline for smooth operations.
A team lead and a manager.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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