Ahmed S.

نبذة

Machine Learning | Deep Learning Engineer with a robust academic background and hands-on project

experience. Proficient in machine learning, computer vision, and backend development, with expertise in web

scraping and automation, Eager to contribute skills and innovative mindset to teams or projects in machine

learning | deep learning domains.

Freelancer

Spearheaded backend development, integrating AI technologies like Optical Character Recognition(OCR) and

Object Detection for text and object extraction from images and documents.

Engineered APIs on Heroku and DigitalOcean for seamless deployment of machine learning models, enhancing

efficiency.

Orchestrated the project lifecycle from conception to deployment, including web scraping, to fulfill client

requirements.

Projects

College Student Chatbot 03/2024

Developed a Django REST backend for a college chatbot using Python, Django REST Framework, Nginx, and

deployed on Hostinger VPS for optimal performance.

•

Visual Speech Recognition App 01/2024

Crafted and deployed a Flask REST backend for an Android app enabling visual speech recognition. Managed

lifecycle from concept to API deployment on DigitalOcean for reliability.

•

QandA Math Solver App 05/2023

Created the backend for an Android app tailored for solving mathematical equations.

Implemented Optical Character Recognition (OCR) to accurately extract equations from images.

Integrated the backend with ChatGPT to process and solve the extracted equations.

Managed the full lifecycle from backend development to deployment

Explored and applied advanced techniques in visual data processing.

Pioneered innovative computer vision solutions such as image recognition and object detection.

Collaborated with cross-functional teams to integrate computer vision capabilities into existing systems.

Culture and Science City

Graduation Project: Medical Bot (MDBOT)

Developed an AI medical bot using machine learning and computer vision for general and dental health.

executed personalized symptom analysis and real-time dental issue detection, earning recognition for

innovation and effectiveness.