We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Mohamed B. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Python, FastAPI, C++, Docker, TensorFlow, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I've worked on include: Autonomous AI Business Intelligence Agent, AI Orchestrator — Autonomous Agentic System Design, Modular RAG System, Autonomous Image Generation Agent, Autonomous Indoor Robot, etc.. I am based in Tanta, Egypt. I've successfully completed 7 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
Main technologies
0 years
1 Year
1 Year
1 Year
Potentially possible
Techy
I engineered this production-ready system to bridge Generative AI with SQL databases using the Model Context Protocol (MCP). Key Capabilities: Text-to-SQL: Converts natural language to accurate SQL
A modular system that explores how autonomous GenAI agents can coordinate complex workflows through a decoupled microservice architecture. Built with FastAPI, Docker, and async streaming (SSE), the pr
Engineered a scalable, API-driven microservice for an advanced question-answering system using a Retrieval-Augmented Generation (RAG) architecture. I built the complete data pipeline, from document
Developed an autonomous AI agent to automate the creation of commercial fashion imagery. Using LangGraph, I built a robust workflow where the agent enhances prompts, generates images via the Gemini
Architected and deployed a complete navigation and control stack for an autonomous indoor robot using ROS2. I implemented a SLAM solution with the Nav2 stack, enabling the robot to perform real-time
Bachelor's degree in
2019-01-01-2024-01-01