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I’m Ahmed Kamel Elsayed, a hands-on data scientist and AI engineer with experience in predictive modeling, NLP systems, and multi-agent AI. I build high-performance models and love collaborating with teams to deliver practical AI solutions. I blend theory and practice, turning data into actionable insights. I thrive on solving complex problems, deploying end-to-end ML pipelines, and communicating results clearly to both technical and non-technical stakeholders.…I’m Ahmed Kamel Elsayed, a hands-on data scientist and AI engineer with experience in predictive modeling, NLP systems, and multi-agent AI. I build high-performance models and love collaborating with teams to deliver practical AI solutions. I blend theory and practice, turning data into actionable insights. I thrive on solving complex problems, deploying end-to-end ML pipelines, and communicating results clearly to both technical and non-technical stakeholders.

Ahmed Kamel Elsayed

Data Scientist, AI Engineer, AI Developer, +2

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I’m Ahmed Kamel Elsayed, a hands-on data scientist and AI engineer with experience in predictive modeling, NLP systems, and multi-agent AI. I build high-performance models and love collaborating with teams to deliver practical AI solutions. I blend theory and practice, turning data into actionable insights. I thrive on solving complex problems, deploying end-to-end ML pipelines, and communicating results clearly to both technical and non-technical stakeholders.…I’m Ahmed Kamel Elsayed, a hands-on data scientist and AI engineer with experience in predictive modeling, NLP systems, and multi-agent AI. I build high-performance models and love collaborating with teams to deliver practical AI solutions. I blend theory and practice, turning data into actionable insights. I thrive on solving complex problems, deploying end-to-end ML pipelines, and communicating results clearly to both technical and non-technical stakeholders.

Available to hire

I’m Ahmed Kamel Elsayed, a hands-on data scientist and AI engineer with experience in predictive modeling, NLP systems, and multi-agent AI. I build high-performance models and love collaborating with teams to deliver practical AI solutions.

I blend theory and practice, turning data into actionable insights. I thrive on solving complex problems, deploying end-to-end ML pipelines, and communicating results clearly to both technical and non-technical stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI Engineer at Agent AI

August 1, 2025 - Present

AI Engineer focusing on predictive modeling and NLP within Data Science Middle East; built multi-agent AI systems, integrated RAG, and contributed to high-performance model development to support business goals.

AI Voice Assistant Developer at Airline AI

October 1, 2025 - December 1, 2025

Developed an airline AI voice assistant for real-time customer interaction using LiveKit; integrated RAG to query dynamic flight databases and provide instant, policy-compliant answers via a visual avatar interface.

Customer Service Agent at SUBO

July 1, 2025 - Present

Built AI-assisted customer service workflows with policy-compliant Q&A and real-time data access to improve response accuracy and turnaround.

Audio Classifier Developer at BirdCLEF (Kaggle Competition)

February 1, 2025 - May 1, 2025

Developed a bird sound classifier using EfficientNet-B0 with 3-channel Mel spectrograms; applied data augmentation and test-time augmentation; achieved 89.3% private score; removed human voice with Silero-VAD during preprocessing.

Toxicity Detection Project Lead at Personal Project

April 1, 2025 - Present

Implemented a multi-label classification model to detect toxicity by fine-tuning BERT; performed data augmentation via OpenAI API and addressed class imbalance with focal loss; optimized training with warm-up and scheduling.

Airbnb Booking System at Kaggle Dataset Project

March 1, 2025 - Present

Analyzed Airbnb dataset to predict booking destinations; performed data preprocessing and feature engineering; built an ensemble model (Random Forest, XGBoost, LightGBM) achieving 88.615% private score.

YouTube Fact-Checking Agent at Kaggle / YouTube

June 1, 2025 - Present

Developed a fact-checking RAG pipeline combining transcripts, claim extraction, and web verification; integrated context windows and hot-search verification to improve accuracy.