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I'm an innovative and detail-oriented AI & Data Science graduate with hands-on experience in building intelligent systems using LLMs, RAG pipelines, and computer vision. I enjoy leading full-stack AI projects from design to deployment, including a chatbot-based medical assistant leveraging local Mistral LLM, Pinecone, and Firestore for personalized healthcare responses. I have developed real-time emotion detection systems with custom YOLO models and deployed them on cloud infrastructure like Azure. I'm passionate about practical AI solutions that improve user experience, automate workflows, and deliver real-world value. I am eager to contribute to forward-thinking teams in AI, machine learning, or software engineering roles.…I'm an innovative and detail-oriented AI & Data Science graduate with hands-on experience in building intelligent systems using LLMs, RAG pipelines, and computer vision. I enjoy leading full-stack AI projects from design to deployment, including a chatbot-based medical assistant leveraging local Mistral LLM, Pinecone, and Firestore for personalized healthcare responses. I have developed real-time emotion detection systems with custom YOLO models and deployed them on cloud infrastructure like Azure. I'm passionate about practical AI solutions that improve user experience, automate workflows, and deliver real-world value. I am eager to contribute to forward-thinking teams in AI, machine learning, or software engineering roles.

MOHAMMAD HISHAM HAMZA

Data Scientist, Full Stack Developer, AI Engineer, +3

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I'm an innovative and detail-oriented AI & Data Science graduate with hands-on experience in building intelligent systems using LLMs, RAG pipelines, and computer vision. I enjoy leading full-stack AI projects from design to deployment, including a chatbot-based medical assistant leveraging local Mistral LLM, Pinecone, and Firestore for personalized healthcare responses. I have developed real-time emotion detection systems with custom YOLO models and deployed them on cloud infrastructure like Azure. I'm passionate about practical AI solutions that improve user experience, automate workflows, and deliver real-world value. I am eager to contribute to forward-thinking teams in AI, machine learning, or software engineering roles.…I'm an innovative and detail-oriented AI & Data Science graduate with hands-on experience in building intelligent systems using LLMs, RAG pipelines, and computer vision. I enjoy leading full-stack AI projects from design to deployment, including a chatbot-based medical assistant leveraging local Mistral LLM, Pinecone, and Firestore for personalized healthcare responses. I have developed real-time emotion detection systems with custom YOLO models and deployed them on cloud infrastructure like Azure. I'm passionate about practical AI solutions that improve user experience, automate workflows, and deliver real-world value. I am eager to contribute to forward-thinking teams in AI, machine learning, or software engineering roles.

Available to hire

I’m an innovative and detail-oriented AI & Data Science graduate with hands-on experience in building intelligent systems using LLMs, RAG pipelines, and computer vision. I enjoy leading full-stack AI projects from design to deployment, including a chatbot-based medical assistant leveraging local Mistral LLM, Pinecone, and Firestore for personalized healthcare responses.

I have developed real-time emotion detection systems with custom YOLO models and deployed them on cloud infrastructure like Azure. I’m passionate about practical AI solutions that improve user experience, automate workflows, and deliver real-world value. I am eager to contribute to forward-thinking teams in AI, machine learning, or software engineering roles.

Skills

Experience Level

Expert

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Intermediate

Language

Arabic

Fluent

English

Advanced

Work Experience

Lead Developer at Graduation Project (AI-Powered Medical Assistant App)

May 1, 2025 - September 9, 2025

Developed a full-stack mobile health assistant app integrating a locally hosted Mistral Dolphin LLM with Retrieval-Augmented Generation (RAG) for accurate medical responses. Implemented a custom memory and chat logging system using Firestore and Pinecone vector DB, enabling personalized diagnosis and treatment plans for each user. Built an intelligent agent to actively retrieve user-specific medical data stored in Firestore and inject it into prompts to personalize interactions. Designed a secure backend pipeline with FastAPI and deployed the model on a local server with public access via Ngrok; delivered a Flutter-based mobile app as an APK, ensuring persistence of chat history and contextual continuity between patient sessions.

Lead Developer at Egypt-Japan University of Science and Technology (EJUST) - Graduation Project

May 1, 2025 - September 9, 2025

Graduation project: AI-Powered Medical Assistant App. Built a full-stack mobile health assistant app integrating a locally hosted Mistral Dolphin LLM with Retrieval-Augmented Generation (RAG) for accurate medical responses. Implemented a custom memory and chat logging system using Firestore and Pinecone vector DB to enable personalized diagnoses and treatment plans. Created an intelligent agent to retrieve user-specific medical data from Firestore and inject it into prompts for personalized interactions. Designed a secure backend pipeline with FastAPI and deployed the model on a local server with public access via Ngrok, with a Flutter-based mobile app deployed as an APK. Ensured chat history persistence, improved user experience, and maintained contextual continuity across patient sessions.

Computer Vision Developer at Independent Project

December 1, 2024 - September 9, 2025

Designed and trained a custom YOLO-based emotion recognition model to detect and classify facial emotions in real-time using employee webcam footage. Developed a web application with a React.js frontend, integrated with Azure-hosted Flask API to enable emotion detection and automated attendance logging for workplace productivity analysis. Built with cross-device support and a scalable backend hosted on Azure for model inference and data processing, tailored for organizational use cases including employee monitoring, stress tracking, and wellbeing reports.

Computer Vision Developer at Independent Project

December 1, 2024 - September 9, 2025

Emotion-Based Attendance Monitoring System: Designed and trained a custom YOLO-based emotion recognition model to detect and classify facial emotions in real-time from employee webcam footage. Developed a React.js frontend, integrated with Azure-hosted APIs, enabling seamless emotion detection and automated attendance logging for workplace productivity analysis. Built cross-device support (desktop and mobile browsers) with a scalable Azure backend for model inference and data processing. Tailored for organizational use cases including employee monitoring, stress tracking, and wellbeing reports.