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I'm Mohamed Nasr, an AI Engineer specializing in end-to-end ML pipelines, NLP, and Generative AI (RAG, Agentic AI, LangGraph). I have delivered production AI products powering real user needs, including a real estate ROI forecasting engine and agentic conversational tools, with strong emphasis on scalability and maintainability. I thrive in cross-functional teams and love turning complex data into actionable insights through robust, production-grade ML systems. I excel in cloud deployments on AWS and GCP with full CI/CD and MLOps practices, and I’m seeking AI Engineer roles focused on production-grade LLM systems where I can enable real-world impact at scale.…I'm Mohamed Nasr, an AI Engineer specializing in end-to-end ML pipelines, NLP, and Generative AI (RAG, Agentic AI, LangGraph). I have delivered production AI products powering real user needs, including a real estate ROI forecasting engine and agentic conversational tools, with strong emphasis on scalability and maintainability. I thrive in cross-functional teams and love turning complex data into actionable insights through robust, production-grade ML systems. I excel in cloud deployments on AWS and GCP with full CI/CD and MLOps practices, and I’m seeking AI Engineer roles focused on production-grade LLM systems where I can enable real-world impact at scale.

Mohamed Nasr

AI Engineer, Data Scientist, Data Analyst, +2

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I'm Mohamed Nasr, an AI Engineer specializing in end-to-end ML pipelines, NLP, and Generative AI (RAG, Agentic AI, LangGraph). I have delivered production AI products powering real user needs, including a real estate ROI forecasting engine and agentic conversational tools, with strong emphasis on scalability and maintainability. I thrive in cross-functional teams and love turning complex data into actionable insights through robust, production-grade ML systems. I excel in cloud deployments on AWS and GCP with full CI/CD and MLOps practices, and I’m seeking AI Engineer roles focused on production-grade LLM systems where I can enable real-world impact at scale.…I'm Mohamed Nasr, an AI Engineer specializing in end-to-end ML pipelines, NLP, and Generative AI (RAG, Agentic AI, LangGraph). I have delivered production AI products powering real user needs, including a real estate ROI forecasting engine and agentic conversational tools, with strong emphasis on scalability and maintainability. I thrive in cross-functional teams and love turning complex data into actionable insights through robust, production-grade ML systems. I excel in cloud deployments on AWS and GCP with full CI/CD and MLOps practices, and I’m seeking AI Engineer roles focused on production-grade LLM systems where I can enable real-world impact at scale.

Available to hire

I’m Mohamed Nasr, an AI Engineer specializing in end-to-end ML pipelines, NLP, and Generative AI (RAG, Agentic AI, LangGraph). I have delivered production AI products powering real user needs, including a real estate ROI forecasting engine and agentic conversational tools, with strong emphasis on scalability and maintainability. I thrive in cross-functional teams and love turning complex data into actionable insights through robust, production-grade ML systems.

I excel in cloud deployments on AWS and GCP with full CI/CD and MLOps practices, and I’m seeking AI Engineer roles focused on production-grade LLM systems where I can enable real-world impact at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Arabic

Fluent

English

Advanced

Work Experience

Data Scientist — Internship Trainee at YorkTowers, Georgia

July 1, 2025 - August 1, 2025

Analyzed real-estate datasets and built predictive models, translating raw data into actionable business insights for the analytics team.

AI Engineer at Dwelleo

July 1, 2025 - Present

Built a property ROI Calculation System combining a sale-price model and a rental model with time-series analysis and agentic AI, achieving 4% MAPE on sale forecasts and 3.36% MAPE on rent forecasts to drive investment decisions. Developed an agentic WhatsApp Bot using RAG to deliver context-aware automated responses, reaching 82% context precision and 87% recall while reducing manual customer-response workload. Engineered the retrieval core of an AI Voice Search feature with agentic AI and RAG, delivering 87% context precision at a 3s P99 latency for accurate, semantically rich voice-driven property discovery.

AI Engineer — Internship Trainee at Huawei ICT & NTI, Egypt

February 1, 2025 - June 1, 2025

Completed applied AI training across machine learning and deep learning, building hands-on projects on the Huawei AI stack (HCIA-AI V3.5) and earning AI Professional certification.