Ahmed Salem

As an AI Engineer at AI-Stack, I contributed to the development of production-ready AI and NLP solutions for Arabic and English users, focusing on conversational systems, document intelligence, and speech processing. Developed Ershad-AI, an Arabic chat assistant supporting Gulf dialects, handling over 1,000 daily user interactions. Built and optimized NLP pipelines for text classification, sentiment analysis, and semantic search using GPT-4, FAISS, and OpenAI embeddings. Integrated speech recognition (Whisper) and text-to-speech (ElevenLabs) models for natural voice conversations. Implemented JWT authentication, API logging, and rate limiting for system reliability and scalability. Collaborated with backend developers to deploy APIs in a cloud-ready environment.

As a Business Intelligence Analyst Intern at the Information Technology Institute (ITI), I worked on end-to-end BI and data analytics solutions, transforming raw data into actionable insights that supported strategic decisions across business functions. Designed and developed interactive Power BI dashboards to visualize KPIs such as sales trends, operational efficiency, and financial performance. Built ETL pipelines using SQL and Power Query to clean and transform data from multiple sources. Applied data modeling and DAX calculations to ensure accurate and optimized reporting. Collaborated with cross-functional teams to define KPIs and automate reporting workflows. Key Projects & Achievements: ✅ Created a Sales Performance Dashboard that reduced manual reporting time by 30%. ✅ Enhanced ETL efficiency through automation, improving pipeline performance by 15%. ✅ Developed a Hospital Analytics System as a graduation project, integrating patient, medical, and operational data to generate predictive insights and improve healthcare decision-making using Power BI, SQL, and Machine Learning techniques.

As part of the Digital Egypt Youth Program, I completed an intensive 4-month internship focused on Artificial Intelligence (AI) at the National Telecommunication Institute (NTI). 🔹 Total Training Hours: 540 Throughout the program, I gained hands-on experience in: Machine Learning & Deep Learning fundamentals Data preprocessing and model building using Python Working with real datasets to apply classification, regression, and clustering algorithms Building AI solutions in collaboration with peers and mentors This experience enhanced my technical capabilities and problem-solving skills in AI, preparing me for practical roles in data and AI-related fields.