AI/ML Engineer with a background in data science and hands-on experience building AI agent systems, deploying ML pipelines, and applying statistical modeling to real-world problems. I combine technical implementation with cross-domain experience spanning healthcare, data science, and IT infrastructure.
M.S. Data Science Eastern University, PA |
AI Agent Systems Multi-step reasoning & structured output |
AWS AI & ML Scholar SageMaker · Bedrock · GenAI |
Cross-Domain Data Science · Healthcare · IT |
Open to Opportunities AI/ML · Data Science · MLOps |
Full-Stack Engineering Python · TypeScript · DevOps |
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Technology Matrix Group, USA · |
- ▸ Administered hybrid IT infrastructure across on-premise NAS and cloud environments, improving reliability and data accessibility
- ▸ Automated recurring workflows and supported software lifecycle management, security compliance, and system stability
- ▸ Applied Linux server administration and Docker-based tooling for internal operations and deployment workflows
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Production AI agent platform featuring a composable middleware chain for multi-step reasoning, LLM API integration, structured output pipelines, and real-time streaming.
📌 2024 – Present · 🟢 Active |
End-to-end web platform with authentication, REST APIs, real-time SSE newsfeeds, media handling, and self-hosted VPS deployment with security hardening.
📌 2023 – Present · 🔵 Live |
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AI-powered study companion designed for intelligent summarization, quiz generation, and personalized study plans.
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Fast and intuitive planning application for organizing tasks, setting goals, and managing schedules efficiently.
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Secure form proxy solution for handling submissions safely, protecting user data, and reducing spam through server-side validation and processing.
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A comprehensive portfolio of 15 production-ready AI/ML projects with 474+ tests, 54 Streamlit dashboard pages, 15 REST APIs, and GPU-accelerated inference.
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RAG-based document Q&A with chunking strategies, semantic search, and API.
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AI-powered resume screening with skill matching, scoring, and NER extraction.
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Multi-agent orchestration with pipeline workflows and shared memory.
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AI data analyst with auto profiling, anomaly detection, and chart suggestions.
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Diffusion model with U-Net, noise scheduling, and CUDA acceleration.
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Multi-model text classification with TF-IDF, transformer, and ensemble.
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LLM fine-tuning with LoRA/PEFT adapters and configurable hyperparameters.
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Real-time voice assistant with Whisper STT and TTS synthesis.
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🏷️ NER SystemNamed Entity Recognition with BIO tagging and BiLSTM-CRF model.
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Text autocomplete with n-gram and neural language models.
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Churn prediction with random forest and classification metrics.
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House price prediction with gradient boosting and regression.
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Fraud detection with anomaly scoring and data drift monitoring.
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Hybrid recommendation with collaborative and content-based filtering.
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MLOps pipeline with experiment tracking, model registry, and drift detection.
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| Degree | Institution | Period | |
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| 🎓 | M.S. in Data Science | Eastern University, Pennsylvania, USA | Fall 2025 – Present |
| 🦷 | Bachelor's Degree in Dentistry | Cairo University | 2013 – 2019 |
| Certification | Issuer | Year | |
|---|---|---|---|
| ☁️ | AWS AI & ML Scholars | Udacity / Amazon Web Services | 2025 |
| 🧠 | AWS Educate: Machine Learning Foundations | Amazon Web Services | 2025 |
| ✨ | AWS Educate: Introduction to Generative AI | Amazon Web Services | 2025 |
