aadit patel
Head of Machine Learning & Engineering at NotCo
head machine learning & engineering @ notco
applied machine learning leader core strength spearheading multidisciplinary technical group develop novel algorithm system real-world . fortunate career helped build deploy several autonomous & machine learning system across multitude domain : aerospace , online advertising , fintech , biotechnology . currently lead global group scientist engineer develop machine learning system formulate new plant-based food . goal reduce consumer meat consumption ultimately help lower agricultural greenhouse gas emission .
NotCo
https://www.linkedin.com/company/the-not-co-
Head of Machine Learning & Engineering
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 are hiring!
San Francisco, California, United States
https://media-exp1.licdn.com/dms/image/C4E0BAQFAemhPuWhxVQ/company-logo_100_100/0/1644847276477?e=1655942400&v=beta&t=KMl02m2pHMKGqEyYT_DSGgoTQ8od_GXO-Xkfr_si954
NotCo
https://www.linkedin.com/company/the-not-co-
Director of Machine Learning & Data Science
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 techniques to automate optimization of texture, flavor, color for a new product formulation.
 
Selected as one of the top 100 companies in the World Economic Forum's Technology Pioneers 2020 and the Top 100 Most Innovative Companies 2021 by Fast Company.
San Francisco, California, United States
https://media-exp1.licdn.com/dms/image/C4E0BAQFAemhPuWhxVQ/company-logo_100_100/0/1644847276477?e=1655942400&v=beta&t=KMl02m2pHMKGqEyYT_DSGgoTQ8od_GXO-Xkfr_si954
NotCo
https://www.linkedin.com/company/the-not-co-
Lead Data Scientist
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 Bay Area
https://media-exp1.licdn.com/dms/image/C4E0BAQFAemhPuWhxVQ/company-logo_100_100/0/1644847276477?e=1655942400&v=beta&t=KMl02m2pHMKGqEyYT_DSGgoTQ8od_GXO-Xkfr_si954
FLYR
https://www.linkedin.com/company/flyrinc
Lead Data Scientist - Core R&D
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 Bay Area
https://media-exp1.licdn.com/dms/image/C560BAQGPW_fXjglrzw/company-logo_100_100/0/1641911551637?e=1655942400&v=beta&t=rVEXfUEDgCihEOc9MtFMNjqax0Zlshlf3UMOZLIG7UE
FLYR
https://www.linkedin.com/company/flyrinc
Data Scientist
• 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.
San Francisco Bay Area
https://media-exp1.licdn.com/dms/image/C560BAQGPW_fXjglrzw/company-logo_100_100/0/1641911551637?e=1655942400&v=beta&t=rVEXfUEDgCihEOc9MtFMNjqax0Zlshlf3UMOZLIG7UE
Yahoo
https://www.linkedin.com/company/yahoo
Research Engineer
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++.
Sunnyvale, CA
https://media-exp1.licdn.com/dms/image/C560BAQE1H3S3iDNY6Q/company-logo_100_100/0/1569251131340?e=1655942400&v=beta&t=FEGSgWZVA1d-mgBF14IpfWGXDG2IeSKrqj_qBoMH998
The Boeing Company
https://www.linkedin.com/company/boeing
Guidance, Navigation & Control Software Engineer
• 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.
El Segundo, CA
https://media-exp1.licdn.com/dms/image/C4E0BAQHpXZDZYImrdA/company-logo_100_100/0/1542647676208?e=1655942400&v=beta&t=OMsknWU_nxvJ3sBY0OUIb9yskIphRMc3vYJ6KiiaGsk
UCLA ELFIN Cube Satellite Project
https://www.linkedin.com/company/ucla
Flight Software Engineering
•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.
Los Angeles, CA
https://media-exp1.licdn.com/dms/image/C4D0BAQE9Njw4w5UjtQ/company-logo_100_100/0/1625622502302?e=1655942400&v=beta&t=xtyPBZ2XK-Er9XfcJ3mTs-5BkaDEjTrgBiXHJBYi9Pw
Jet Propulsion Laboratory
https://www.linkedin.com/company/jet-propulsion-laboratory
Mission Engineer
• 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.
Pasadena, CA
https://media-exp1.licdn.com/dms/image/C4E0BAQFru17MYnHlaQ/company-logo_100_100/0/1519855861512?e=1655942400&v=beta&t=xuF4PGC85tR4labBNxB2iIqFWf0tRSgvNM9sN890TG8
Computer Science
Master of Science (M.S.)
University of California, Los Angeles
https://www.linkedin.com/school/ucla/
Focus on Artificial Intelligence, Machine Learning, Data Analysis, and Bayesian Statistical Models

Projects include:
-Inducing swarm-like behavior in intelligence agents through Q-Learning
-Sentiment Analysis on varying corpus
-Detecting cyberbullying on Twitter dataset utilizing Latent Semantic Analysis and Support Vector Machines
https://media-exp1.licdn.com/dms/image/C4D0BAQE9Njw4w5UjtQ/company-logo_100_100/0/1625622502302?e=1655942400&v=beta&t=xtyPBZ2XK-Er9XfcJ3mTs-5BkaDEjTrgBiXHJBYi9Pw
Aerospace, Aeronautical and Astronautical Engineering
B.S. Aerospace Engineering
University of California, Los Angeles
https://www.linkedin.com/school/ucla/
https://media-exp1.licdn.com/dms/image/C4D0BAQE9Njw4w5UjtQ/company-logo_100_100/0/1625622502302?e=1655942400&v=beta&t=xtyPBZ2XK-Er9XfcJ3mTs-5BkaDEjTrgBiXHJBYi9Pw
Controllable formula generation
US11164069B1
Techniques to mimic a target food item using artificial intelligence are disclosed. A formula generator learns from open source and proprietary databases of ingredients and recipes. The formula generator is trained using features of the ingredients and using recipes. Given a target food item, the formula generator determines a formula that matches the given target food item and a score for the formula. The formula generator may generate, based on user-provided control definitions, numerous formulas that match the given target food item and may select an optimal formula from the generated formulas based on score.
https://patentimages.storage.googleapis.com/a4/20/e7/ff8cfaf1c7244d/US11164069.pdf
Protein secondary structure prediction
US10962473B1
An artificial intelligence model receives a FTIR spectrum of a given ingredient to predict its protein secondary structure. The model includes three artificial modules, which generate three predicted values corresponding to structural categories (e.g., α-helix, β-sheet, and other) of the predicted secondary structure. Proteins may be compared for similarity based on predicted values corresponding to the structural categories of the predicted secondary structure.
https://patentimages.storage.googleapis.com/0b/7f/55/9ae0e1f92192a1/US10962473.pdf
Neural network method of generating food formulas
US10957424B1
Techniques to mimic a target food item using artificial intelligence are disclosed. A formula generator is trained using combinations of ingredients. A training set may include, for each combination of ingredients, proportions, and features of the ingredients in a respective combination of ingredients. Given a target food item, the formula generator determines a predicted formula that matches the given target food item. The predicted formula includes a set ingredients and a respective proportion of each ingredient in the set of ingredient.
https://patentimages.storage.googleapis.com/70/4d/50/8d0d73442e241c/US10957424.pdf
Latent space method of generating food formulas
US10915818B1
Techniques to mimic a target food item using artificial intelligence are disclosed. A formula generator learns from open source and proprietary databases of ingredients and recipes. The formula generator is trained using features of the ingredients and using recipes. Given a target food item, the formula generator determines a formula that matches the given target food item and a score for the formula. The formula generator may generate numerous formulas that match the given target food item and may select an optimal formula from the generated formulas based on score.
https://patentimages.storage.googleapis.com/d1/ec/56/bdc11b4afb2cc5/US10915818.pdf
Manning Publications - Human Pose Estimation with Deep Neural Networks
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Human Pose Estimation with Deep Neural Networks
Co-authorized an intermediate-level online course through Manning Publication for key point estimation via Deep Convolutional Networks. Students learn the basics of Convolutional Networks, as well as how to use transfer learning from larger models to fine-tune onto their dataset. We also demonstrate how to develop a real-time inference algorithm that can overlay human pose estimation from the students' web camera.
https://www.manning.com/liveproject/human-pose-estimation-with-deep-neural-networks
Private Pilot License (PPL), Instrument Rated
Federal Aviation Administration
https://cl.linkedin.com/in/vicente-oyanedel
Vicente Oyanedel Muñoz
Machine Learning Engineer at NotCo
Chile
https://www.linkedin.com/in/apollo-kaneko
Apollo Kaneko
Machine Learning Engineer at NotCo
Stanford, CA
https://cl.linkedin.com/in/francisco-clavero-herrera-8384825a
Francisco Clavero Herrera
Machine Learning Senior Engineer at NotCo
Santiago
https://www.linkedin.com/in/isadora-nun-79b02030
Isadora Nun
Senior Data Scientist at NotCo
San Francisco, CA
https://www.linkedin.com/in/karim-pichara-baksai-89903432
Karim Pichara
CTO and Co-Founder at NotCo
San Francisco, CA
https://cl.linkedin.com/in/hojin-kang-kim-820046170
Hojin Kang Kim
Machine Learning Engineer en NotCo
Provincia de Santiago
https://www.linkedin.com/in/nathan-o-hara-7b44a615b
Nathan O'Hara
Machine Learning Engineer at NotCo | Duke University Class of 2021
San Francisco, CA
https://www.linkedin.com/in/chauhanapoorva8
Apoorva Chauhan
Actively seeking opportunities in Engineering/Analytics
United States
https://cl.linkedin.com/in/rpalmaotero
Rodolfo Palma Otero
Software Engineer at NotCo
Chile
https://www.linkedin.com/in/rkcheruk
Rohit Cheruku
Recent graduate from University of California, Santa Cruz majoring in Computer Science. Actively looking for new graduate software engineering roles.
San Diego, CA
https://cl.linkedin.com/in/pablo-zamora-b5033b16
Pablo Zamora
Co-founder NotCo & Entrepreneur
Provincia de Santiago
https://www.linkedin.com/in/lucho-lopez-may-b196605
Lucho Lopez-May
Chief Executive Officer, North America at NotCo
New York City Metropolitan Area
https://www.linkedin.com/in/anna-b-casey
Anna Casey
Product Marketing Manager at Appcues
United States
https://www.linkedin.com/in/jashoda
Jashoda Kashyap
Employment Counsel at Impossible Foods
San Francisco, CA
https://www.linkedin.com/in/saadmatti
Saad Matti
Cyber Security Professional
Peoria, AZ
https://ch.linkedin.com/in/jankrepl
Jan Krepl
Python Developer | Machine Learning | Data Science
Geneva
https://ch.linkedin.com/in/graziano-mirata-21537428
Graziano Mirata
Head of Data Science at 2Xideas
Zurich
https://www.linkedin.com/in/paresh-chauhan-m-sc-214bb91a
Paresh Chauhan, M.Sc.
Supervises at TSS, Inc., Chartered Institute of Purchasing and Supply (CIPS), Six Sigma Black Belt and M.Sc.
United States
Claire (Ge) Cheng
      
          



            
              
        
              
  

    
        I was in the same team with Aadit at Yahoo, where we worked on a Yahoo Search user experience machine learning model together. Aadit was the lead for that project. He cooperated with the scientists' team and designed the whole workflow for the model. He is a great mentor who gave a lot of help to onboard new engineers and guide the project. Aadit himself is also a great engineer who implemented and optimized the data processing pipeline. Aadit is a well-rounded engineer and has strong skills in engineering, data science, and leadership. Our user experience model successfully improved multiple important metrics by 5%+ and was deployed to the whole Yahoo Search product. It's my pleasure to work with a talented engineer like Aadit. Bo-Yu Chiang
      
          



            
              
        
              
  

    
        I worked with Aadit on an important revenue-related project at Yahoo. He is an active learner and is dedicated to his work. Though this project used new technology, Aadit was able ramp up and learn new languages and systems quickly. He also automated some of the most important steps in this project which helped save the team a tremendous amount of time. His knowledge in machine learning is also amazing. His models have improved Yahoo’s user experience across all categories. He is the kind of superstar I want to work with at Yahoo!
We're now fully flexible with where we work, and yes we are hiring! DM me if you are interested.
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It’s not very often I have something to post here. Haha. But I do today.https://lnkd.in/diJ5X-94
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Liked by Aadit Patel
We are growing rapidly in new ways and markets. We are driven by change and purpose. We are ready to roll up our sleeves and do whatever it takes to…
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Liked by Aadit Patel
Aadit P.
https://www.linkedin.com/in/aaditrpatel
Brooklyn, NY
Aadit Patel
https://www.linkedin.com/in/aadit-patel
Grad Student at University of Southern California for Computer Science
Los Angeles, CA
Aadit Patel
https://www.linkedin.com/in/aadit-a-patel
MBA Candidate at The Wharton School (2022)
Philadelphia, PA
Aadit Patel
https://www.linkedin.com/in/aadit-patel-27b8aa134
Chemical Engineer from The Ohio State University
Powell, OH
https://media-exp1.licdn.com/dms/image/C4E07AQFjt4lFo8ZOzg/group-logo_image-shrink_92x92/0/1631003724842?e=1647691200&v=beta&t=c-na5_uIo8xLfwH2stpsq1ophWDU-1QH-eQ8FNI7wQo
Space Grant Alumni
https://www.linkedin.com/groups/4919417