Ankit Awasthi

Ankit Awasthi

Director of Engineering at Twilio

Role
Director of Engineering at Twilio
Location
New York, NY, US
LinkedIn followers
500 followers

About Ankit Awasthi

Hands on engineering leader specializing in artificial intelligence and machine learning, with extensive experience building and scaling high-performance teams and systems across Applied AI Research, ML Ops and Product Engineering. Currently leading CustomerAI initiatives at Twilio, where I drive the development of predictive and generative AI products that transform how businesses engage with their customers enabling 1:1 personalization at scale.Throughout my career, I\'ve successfully delivered 0 to 1 AI platforms and products across diverse domains from software to high frequency trading. I\'m passionate about bridging the gap between AI research and real-world applications, consistently focusing on creating practical, useful and scalable platforms and products that deliver tangible business value.

Experience

  1. Director of Engineering

    Twilio

    Jun 2022 — Present · New York, NY, US

    Built and scaled the AI team at Twilio Segment and led the 0 to 1 launch of major Customer AI features at Twilio- Predictions : An automl framework that lets you predict the likelihood of any tracked behavior, churn and LTV of the users using all of your first party data. Led to some amazing customer wins across email marketing and reduced acquisition with third party advertising and regularly featured in Twilio\'s earnings calls- Recommendations : A recommendation platform that can scalably build personalized recommendations across different customers with highly varying data schema- Generative Audiences : Creating audience segmentation using natural language prompts. Led to 3x reduction in time to value for customers when creating complex audiences- Built the ML platform from scratch powering all of these features at enterprise scale.

Education

  • Indian Institute of Technology, Kanpur

    Bachelor of Technology (B.Tech.), Computer Science

    2008 — 2012

Skills

  • Algorithms
  • Data Structures
  • Java
  • Machine Learning
  • Perl
  • Matlab
  • Python
  • C++
  • C

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