Developed a Retrieval Augmented Generation (RAG) system using LangChain and ChromaDB to enable semantic search over unstructured corporate data. Orchestrated data versioning pipelines using DVC synced with AWS S3, and implemented MLflow to track prompt engineering experiments and embedding performance. Built a fully automated deployment pipeline using GitHub Actions and Docker; commits trigger automated Pytest suites and seamless deployment to AWS EC2. Engineered high-performance Async APIs using FastAPI to handle concurrent document ingestion, chunking, and vector retrieval.
AI Engineer
Full-time available
Bio
Amr M. is an AI Engineer with several years of experience specializing in MLOps and Cloud-Native AI. Amr utilizes technologies such as Python, FastAPI, TensorFlow, PyTorch, and Scikit-learn to build scalable ML pipelines, REST APIs, and enterprise-level conversational agents. He implements CI/CD with GitHub Actions and Docker, and manages cloud infrastructure using AWS services like EC2, S3, and RDS. His work emphasizes secure deployment, experiment tracking, and performance optimization. At Elevvo, Amr built and…
Expertise
PythonFast APISQLAWSPyTorchNumPy
Video Intro
Assessments
Projects
BeanBuddy: Cloud-Native Transactional AI
Architected a stateful conversational agent using Dialogflow ES and FastAPI, handling complex transactional workflows (ordering, modifications). Migrated persistence layers to a production-grade MySQL database on AWS RDS, managing schema design and session integrity. Deployed infrastructure on AWS EC2 (Linux), managing persistent background processes using Screen and implementing Ngrok tunneling for secure SSL communication.
Experience
AI Engineer Intern
Elevvo· AI/MLJul 2025 — Sep 2025- Built and tuned 6+ ML models (Regression, Classification, CNNs) using SMOTE and hyperparameter optimization, improving accuracy by 10–25%.
- Designed reproducible ML pipelines for preprocessing and feature engineering, integrating MLflow for experiment tracking and versioning.
- Improved model performance by up to 30% using SVD and Transfer Learning.
Education
Bachelor of Computer Science
Ain Shams UniversityEgypt2021 — 2025High School Diploma
Tiba International SchoolEgypt2001 — 2001
AI Engineer
Full-time available
Amr is available for hire
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Bio
Amr M. is an AI Engineer with several years of experience specializing in MLOps and Cloud-Native AI. Amr utilizes technologies such as Python, FastAPI, TensorFlow, PyTorch, and Scikit-learn to build scalable ML pipelines, REST APIs, and enterprise-level conversational agents. He implements CI/CD with GitHub Actions and Docker, and manages cloud infrastructure using AWS services like EC2, S3, and RDS. His work emphasizes secure deployment, experiment tracking, and performance optimization. At Elevvo, Amr built and…
- Projects completed2
- Hourly rate
- 0-2 years experience
- Cairo, Egypt
- Member since May 2026
Industries
AI/ML
Expertise
PythonFast APISQLAWSPyTorchNumPy
Video Intro
Assessments
Projects
Developed a Retrieval Augmented Generation (RAG) system using LangChain and ChromaDB to enable semantic search over unstructured corporate data. Orchestrated data versioning pipelines using DVC synced with AWS S3, and implemented MLflow to track prompt engineering experiments and embedding performance. Built a fully automated deployment pipeline using GitHub Actions and Docker; commits trigger automated Pytest suites and seamless deployment to AWS EC2. Engineered high-performance Async APIs using FastAPI to handle concurrent document ingestion, chunking, and vector retrieval.
BeanBuddy: Cloud-Native Transactional AI
Architected a stateful conversational agent using Dialogflow ES and FastAPI, handling complex transactional workflows (ordering, modifications). Migrated persistence layers to a production-grade MySQL database on AWS RDS, managing schema design and session integrity. Deployed infrastructure on AWS EC2 (Linux), managing persistent background processes using Screen and implementing Ngrok tunneling for secure SSL communication.
Experience
AI Engineer Intern
Elevvo· AI/MLJul 2025 — Sep 2025- Built and tuned 6+ ML models (Regression, Classification, CNNs) using SMOTE and hyperparameter optimization, improving accuracy by 10–25%.
- Designed reproducible ML pipelines for preprocessing and feature engineering, integrating MLflow for experiment tracking and versioning.
- Improved model performance by up to 30% using SVD and Transfer Learning.
Education
Bachelor of Computer Science
Ain Shams UniversityEgypt2021 — 2025High School Diploma
Tiba International SchoolEgypt2001 — 2001
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