Machine Learning Engineer
I design and code ML/AI Systems, and I love what I do.
Hi, I'm Kamal Mansour. Nice to meet you.
I'm a software engineer at Ford Motor Company, specializing in web development with HTML5, Node.js, and JavaScript. I hold a bachelor's degree in computer science from Wayne State University and am currently pursuing a master's in AI at the University of Michigan. My focus lies in machine learning, computer vision, and NLP, aiming to contribute to Ford’s innovation in smart mobility while advancing ethical AI applications. I thrive in collaborative environments where technology meets problem-solving.
Machine Learning
ML Techniques:
- Predictive modeling, Deep learning, XGBoost, Ensemble Methods
Frameworks:
- TensorFlow
- PyTorch
Programming Languages
Languages I Speak:
- Python, Java, JavaScript, TypeScript, PostgreSQL, SQL, Golang,
Frameworks and Tools
- React
- Backstage
- Docker
- Podman
- WSL
- Linux
Soft Skills
Experiences I draw from:
- Communication, Team Collaboration, Agile Methodologies, Github, GCP, Azure, AWS
My Experience
Software Engineer
Ford Motor Company
2025 - Present
Led the design and development of a Golang-based backend system that monitored anomalous spending and escalated issues to team leads. Leveraged Redis Queues to efficiently track resolution and escalation processes, and collaborated with cross-functional teams to create and implement necessary APIs. This solution delivered an estimated annual savings of approximately $2 million for Ford. Received recognition from upper management.
Junior Software Engineer
Ford Motor Company
2023 - 2024
Led the development of a Solution Catalog, which centralized templates and enhanced onboarding efficiency by 40%. Engineered the automation of API publication to Apigee via Azure WIF, conserving 20% of developer time.
Entry-Level Software Engineer
Ford Motor Company
2022 - 2023
Developed and launched three scalable web applications using React, Java Spring Boot, and PostgreSQL, setting new benchmarks in production standards. Implemented CI/CD pipelines with Jenkins, cutting deployment times by 70%.
Featured Projects
• Designed and implemented a backend for a simple banking system using Golang with PostgreSQL as the database.
• Utilized SQLC for type-safe query generation and performed database migrations using Go-Migrate.
• Developed and deployed a responsive, high-performance portfolio website using Next.js on AWS.
