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Schedule Interview NowMy name is Zakaria F. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: AI Agent Development, Chatbot, AI Consulting, LLM Prompt, ChatGPT, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I've worked on include: Chat With YouTube, Science MCQ QA LMs, RAG, Emotopia-Mood-Enhancer, Multi Label classification on lung diseases, etc.. I am based in Al Haram, Egypt. I've successfully completed 8 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
Main technologies
3 years
2 Years
2 Years
1 Year
Potentially possible
National Telecommunication Institute
An Agent that allows you to chat with youtube, provide insights etc.. .
This repository features a comprehensive, custom-designed pipeline built to tackle the Kaggle LLM Science Exam competition, where large language models (LLMs) are used to answer challenging science qu
Retrieval-Augmented Generation (RAG) is a technique that enhances the output of large language models (LLMs) by incorporating external knowledge sources. Here are the key points:
Emotopia-Mood-Enhancer is an AI-driven music recommendation system that suggests songs based on the user’s current emotional state. It uses computer vision and emotion recognition techniques to detect
This project aims to develop a machine learning model for multi-label classification of lung diseases using the CheXpert dataset. The model leverages advanced techniques in deep learning to accurately
Bachelor's degree in
2017-01-01-2022-01-01