Summary
Amr M. is a highly skilled Machine Learning Engineer with a strong specialization in MLOps and Cloud-Native AI, possessing proven experience in bringing models from research to production environments. He demonstrates advanced proficiency with Docker, GitHub Actions for CI/CD, DVC, MLflow, and AWS services including EC2, S3, and RDS. Amr excels in AI and Generative AI technologies, such as Retrieval Augmented Generation systems with LangChain and ChromaDB, and has hands-on experience with computer vision and natural language processing. His backend engineering skills are underscored by extensive use of Python, FastAPI, REST APIs, SQL, and testing frameworks like Pytest. Additionally, he has engineered production-grade ML systems leveraging frameworks and libraries including TensorFlow, PyTorch, Scikit-learn, Pandas, and Numpy. Amr's experience includes building scalable ML pipelines, deploying enterprise-level conversational agents using Dialogflow ES, and managing cloud infrastructure on Linux environments. He is proficient in prompt engineering, experiment tracking, feature engineering, and versioning, and is recognized for his ability to communicate complex technical concepts clearly in English. Amr holds a Bachelor of Computer Science from Ain Shams University, maintains a collaborative approach, and shows a consistent track record of improving both model accuracy and system performance.
Meet Amr M.
Assessment Scores
Great on Count Subarrays with Sum Equal to K, Difficulty Easy
Great on Classification Model Inaccuracy, Difficulty Easy
Great on Diagnose and Fix RAG Pipeline Retrieval Issues, Difficulty Medium
Experience
Elevvo
AI/ML
AI Engineer Intern
Intern
Jul 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.
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.
Education
Bachelor of Computer Science
2021 - 2025
Ain Shams University
Egypt
High School Diploma
2001 - 2001
Tiba International School
Egypt
