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Aman Dhesi

Turn your unstructured data to structured @ Village Computing

New York, New York

Invests in

Stages:

  • Min Investment:

    $0.00
  • Max Investment:

    $0.00
  • Target Investment:

    $0.00

Education

Work Experience

Village Computing

2023

  • Co-Founder

    2023

    We're helping companies perform unstructured to structured data transformation faster, cheaper and more accurately with LLMs. Usually, this is data extraction or classification, but our techniques are applicable to many types of structured data problems. In the process we're developing open-source software to help other developers do the same. Backed by a16z, First Round, Gokul Rajaram, Dylan Field, and others.

Myself

2020

  • Investor

    2020

    A mix of personal, syndicate, and secondary investments Farcaster, OnDeck, Highlight.xyz, Metamap, Meow.co, Sleek (acq SnackPass), Composer, Bandit ML (acq), Scale AI

2022 - 2023

  • Co-founder/CTO

    2022 - 2023

    Building tools to make crypto/web3 more secure and usable. Backed by a16z crypto, First Round Capital and others.

2021 - 2022

  • Exploring, Writing, Building

    2021 - 2022

    Reading, learning, exploring, hacking, following my curiosity and writing about it at www.amandhesi.net

2019 - 2021

  • Tech Lead, Machine Learning

    2019 - 2021

    DoorDash acquired Caviar from Square in November 2019. Jul 20 - present: Building DoorDash's ads/promotions products and team. Did a little bit of everything: ML-based ranking and forecasting models, email automation systems, product strategy. Nov 19 - Jul 20: Built DoorDash's marketing automation platform from scratch. The system automatically manages/optimizes DoorDash's $XXX M marketing budget. See blog post for more details.

2017 - 2019

  • Machine Learning Engineer

    2018 - 2019

    Led Machine Learning at Caviar, a food delivery service owned by Square. Owned and improved core components of Caviar's logistics systems - dispatch algorithm, ETA predictions, and our first-ever food prep time predictions. Reduced average delivery times by several minutes.

  • Product Manager, ML

    2017 - 2018

    Growth and ML for Square Capital

2014 - 2016

  • Growth PM, Messenger

    2015 - 2016

    Helped make Messenger the fastest growing app of 2015 through a combination of acquisition and retention efforts.

  • Founding PM, Blood Donations

    2015 - 2016

    Started the Facebook Blood Donations product during a company hackathon. Along with an awesome team, designed, built, and conducted user research in our spare time. Today, it is a flagship product of Facebook's social good team.

  • Product Manager

    2014 - 2016

    Conceptualized, designed and launched the prototype for a user safety feature to prevent malicious profile impersonation. Built internal tools to crowd-source language translation data to improve Facebook's translation technology that serves xxxM MAU.

Glotify

2013 - 2014

  • Co-founder & CTO

    2013 - 2014

    Crowd-sourced language translation startup founded on campus.

2013 - 2013

  • Data Science Engineering Intern

    2013 - 2013

2013 - 2013

  • Engineering Fellow

    2013 - 2013