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About Me

As a data and machine learning engineer at Ford Motor Company, I leverage cutting-edge artificial intelligence and machine learning technologies to drive innovation and transform data-driven decision-making processes. With over 10 years of experience in IT, specializing in Data Science and Data Engineering, I now focus on developing and implementing GenAI solutions that enhance product performance, optimize operations, and create new opportunities for growth.

I hold a Ph.D. in Computer Sciences from the University of Paris Saclay, France, which has equipped me with a strong theoretical foundation and research skills. My passion for knowledge sharing extends beyond my professional responsibilities, as I actively engage in teaching and writing about AI, Machine Learning, and their applications in the automotive industry.

Throughout my career, I have spearheaded numerous enterprise-level training programs. These initiatives have successfully empowered professionals from diverse backgrounds to understand and harness the power of AI tools and methodologies, fostering a culture of innovation and continuous learning within the organization.

Name: Ali Masri
Degree: Ph.D. in Computer Science
Experience: 10 Years
Phone: +1 734 757 38 42
Email: alimasri1991@gmail.com

10

Years of

Experience

9

Online

Publications

16

Online

Articles

Skills

Python

GenAI

Langgraph

Agent Development Kit

Arize

Apache Spark

Apache Airflow

Data Build Tool (dbt)

Terraform

Google Cloud Platform

Machine Learning

Deep Learning

Database Design and Implementation

Experience

AI Specialist

Ford Motor Company | Jun 2025 - Present

  • Design and develop intelligent AI agents for internal and customer-facing applications.
  • Design and develop a multi-agent system for Ford.com chat platforms, boosting customer service efficiency and improving response accuracy.
  • Spearhead the large-scale implementation of natural language-to-SQL query generation, enabling access to thousands of tables and democratizing data usage across the organization.
  • Create adaptive learning agents that optimize processes by self-adjusting to human interaction patterns and feedback loops.
  • Collaborate with cross-functional teams to integrate AI agents into existing Ford systems, ensuring seamless operations, scalability, and enterprise-wide adoption.
  • Lead enterprise-wide AI training initiatives, equipping engineering teams with the skills to design, build, and deploy autonomous systems effectively.
Lead Data Engineer

Ford Motor Company | March 2021 - May 2025

  • Lead the development of robust data engineering pipelines for the Strategy & Enterprise Analytics and Manufacturing Analytics teams.
  • Design, implement, and maintain databases and pipelines powering two high-impact data products.
  • Collaborate with cross-functional teams across national and international locations to deliver scalable data solutions.
  • Optimize existing pipelines by improving query performance, refining architectures, and enhancing algorithms.
  • Accelerated a production pipeline's execution time by 400%, significantly improving operational efficiency.
  • Mentor and onboard new team members, ensuring rapid integration into ongoing projects and technologies.
  • Provide technical guidance and support to team members on technology-related challenges.
  • Technologies used daily: Apache Spark, Python, HDFS, Hive, Alteryx, Oozie.
Lead Data Scientist

Cognitus/Intelligencia | Dec 2017 - Feb 2021

  • Assist companies, including international clients, teams, and governments, to adopt big data solutions by consulting the design and deployment of big data ecosystems for storage, streaming, processing, and visualization. (Hadoop ecosystem on-prem and cloud products)
  • Improve the speed and efficiency of legacy solutions by analyzing client requirements, designing, and building big data architectures and data processing pipelines to process large amounts of raw data in real-time and batch modes using SQL, Apache Spark, and Hive.
  • Design architecture and lead development of a distributed, scalable, and fully extensible smart surveillance solution by coordinating with the development team and stakeholders to drive execution. (Python, Postgres, RabbitMQ, Docker)
  • Spearhead the development of 4 machine learning solutions in computer vision and natural language processing domains. (Python, Docker)
  • Train 30+ customers on enterprise data science including courses on machine learning (scikit-learn and Spark ML), deep learning (Keras), distributed data processing (pyspark), and programming (JAVA and Python) to enable companies to build their own data science teams.
Doctoral Student

VEDECOM | Feb 2015 - Nov 2017

  • Researched transportation multimodality for smart cities and organized and integrated data by implementing 3 software solutions in Python and JAVA.
  • Increased ability to combine heterogeneous transportation data sources by proposing 3 integration solutions on schema level, instance level, and service level.
  • Improved multimodal trip planning by extending the Connection Scan Algorithm to support non-scheduled services.
  • Published 8 articles in international conferences and journals by utilizing excellent communication and writing skills.
Research and Development Intern

3iConsulting | Feb 2014 - Aug 2014

  • Researched integration of supply chain management systems and business process management solutions.
  • Improved scalability and efficiency of legacy solutions by implementing research on supply chain and business process management solutions to adopt a service-oriented architecture.

Education

Ph.D. in Computer Science

University of Paris Saclay | France

Masters in Data and Information Systems

The Lebanese University - Faculty of Sciences | Lebanon

Bachelor of Science (BS) in Computer Science

The Lebanese University - Faculty of Sciences | Lebanon

Certificates

Blog Posts

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