Jothi brings local and international proven client engagement expertise. In these fifty-plus engagements, Jothi demonstrated hands-on enterprise architecture, solution design, program leadership, and project delivery skills. Jothi has deep industry domain and business processes knowledge in health, oil & gas, energy, retail, and public services.

"Amazing work, Sir! let us know if you need any help, Mahmoud, and I will be happy to support you at Flydubai..."

Mohamed Ezzat
Amazon Web Services
Dubai
United Arab Emirates

FIFTY PLUS CLIENT ENGAGEMENTS

DMV: VANITY LICENSE PLATES: DATA SCIENCE AND RPA APPLICATION DEVELOPMENT

Role: Product Manager

  • Since March of 2022, I have been engaged with the California motor vehicle Department on an environmental license plate (ELP) project. As a product manager, I am developing a deep learning model to validate the classification of personalized license plates. In this project, I collaborate with Google, AWS, and DMV team to deliver this mission-critical and complex project on multi-cloud infrastructure.
  • The ELP application is a natural language processing application (NLP), and it's empowered by robotic process automation (RPA) through UiPath.

FLYDUBAI: REVENUE & FINANCIAL MODEL FOR BOOKING PREDICTION AND FORECASTING

Role: Chief Applied AI Architect

  • The Flydubai revenue optimization project started in September 2021 and aimed to develop an enterprise AI platform for a digital transformation. As a chief AI architect, I am responsible for the "end-to-end" enterprise AI platform design and delivery on the AWS cloud platform. The primary business objective of the project is to optimize revenue and reduce the operating cost by not operating flights if the number of bookings doesn't meet the defined margin guideline.
  • In the project, I implemented several deep learning models on the AWS cloud using the TensorFlow framework to predict the number of bookings within 30, 60, and 90 days to determine whether to operate a flight on a given schedule. The data science application uses external factors such as weather, location, and competitors.

High Level Scope: Enterprise AI Platform

The future state Enterprise AI Platform will serve as a single platform for the client data science, analytics, and transactional needs. It will transform the client into a complete digital operating model. Here are the critical components of the future state Enterprise AI Platform; this is not final, and it may change based on the detailed requirements and design.