Aadit Patel Email & Phone Number

Santiago, Chile, CL

Santiago, Chile, CL

Leading a global team of engineers and scientists to build Giuseppe - AI enabled platform for scientists and formulators to create better sustainable products for consumers.Platform includes underlying Generative AI (LLM, RAG) and probabilistic modeling systems.

Santiago, Chile, CL

I lead a global team of ML/SW engineers, designers, product managers, and scientists to build the Giuseppe Platform, an AI-enabled system to optimize the texture, nutrition, flavor, and functionality of any plant-based food to increase consumer adoption towards a more sustainable diet.Voted 100 Most Innovative Companies 2021 by Fast Company, and yes - we.

Santiago, Chile, CL

I lead the Machine Learning Engineering & Data Science group within The Not Company ("NotCo") across the San Francisco and Santiago offices. Our group researches and develops machine learning algorithms to formulate novel food products entirely from plants, such as NotMayo, NotMilk, and NotBurger. Our systems utilize sequential & automated decision-making.

Santiago, Chile, CL

I work on a Formula Generation system to discover novel food products made entirely from plants. Tech stack includes: PyTorch, NumPy, Docker, and Kubernetes.

San Francisco, California, US

Led a group to research and develop new methods of demand forecasting and pricing optimization for U.S. domestic and international airlines (JetBlue, AirAsia, Emirates). Research and prototype models focused primarily on applying Batch Reinforcement Learning and Deep Q-Learning to real-world dynamic pricing problems.

San Francisco, California, US

• Implemented and deployed dynamic pricing optimizer for multiple large domestic airlines.
• Trained probabilistic regression demand models via TensorFlow Probability and deployed within the airline revenue management system.
• Developed an in-house revenue simulation framework, allowing for scenario-based testing of the end-to-end dynamic pricing system.

Sunnyvale, CA, US

I lead machine learning and big data initiatives for real-time Yahoo! Search traffic allocation. Offline models are trained with Spark/Hadoop and run-time models are dispatched in C++.I helped created the initial version of a machine-learning based ad-dispatching system, which dynamically dispatched search traffic either the Google or Bing Ad Network to.

Arlington, VA, US

• Designed, optimized, and implemented thruster-firing algorithms for satellite flight software in C++.
• Performed unit testing on several flight algorithms to help debug the satellite control system.
• Optimized algorithm performance for flight hardware and the satellite’s real-time operating system.
• Modeled software design with UML, performed thorough code reviews, and wrote extensive documentation on software architecture.

Los Angeles, CA, US

• Programmed microcontrollers in C to convert raw sun sensor data into usable angular solar position information.
• Developed and presented a suitable Concept of Operations for determining solar position relative to the satellite.

Pasadena, CA, US

• Performed trade studies to create mission options for the Stardust spacecraft in the event of gyroscope failure.
• Developed astrodynamic and orbit determination software in object-oriented Python.
• Produced technical timelines for Stardust’s encounter to Comet Tempel 1.

Master Of Science (M.S.), Computer Science

B.S. Aerospace Engineering, Aerospace, Aeronautical And Astronautical Engineering