PeopleofSuperintelligence

Builder

Hanna Moazam

Hanna Moazam is an AI builder whose work helps developers program language-model pipelines with DSPy. She studied computer science at Carnegie Mellon University in Qatar, served as a teaching assistant for a deep-learning course, and coauthored the 2023 paper that introduced DSPy. In 2024, DSPy reached ICLR, and she owns a Databricks cookbook for DSPy applications created in May 2025. As of October 2026, she is a Senior Solutions Architect at Databricks in London, specializing in data science, machine learning, governance and GenAI.

Timeline

  1. 2016–2020

    Computer science at CMU-Q

    At a CMU-Q event for admitted students in April 2016, she changes her major from information systems to computer science. She graduates with a computer science degree in 2020, leads Project Rwanda and serves as a student leader for Computing Club, Andrew Model United Nations and women’s basketball.

  2. 2019

    Teaching deep learning

    In Fall 2019, she serves as a teaching assistant for Carnegie Mellon’s 11-785 Introduction to Deep Learning course. The class covers deep neural networks and their applications to AI tasks.

  3. 2023

    The DSPy paper

    In 2023, she coauthors DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines, which introduces a programming model for composing language-model pipelines through declarative modules.

  4. 2024

    DSPy at ICLR 2024

    In 2024, DSPy appears at ICLR with Moazam among the project’s contributors.

  5. May 2025

    A Databricks DSPy cookbook

    Her Databricks DSPy cookbook is created in May 2025 and provides a starting template for applications using vector search, MLflow, Databricks Agent Framework and Mosaic Agent Eval.

  6. As of October 2026

    Senior Solutions Architect

    As of October 2026, she is a Senior Solutions Architect at Databricks in London, specializing in data science and machine learning and developing open source solutions for governance and GenAI.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

Photo: We have no published photo of Hanna Moazam yet. Send us a free-licensed photo.

  1. Hanna Moazam contributes to Carnegie Mellon community on three continents qatar.cmu.edu. Checked 19 October 2026.
  2. 11-785 Deep Learning cs.cmu.edu. Checked 19 October 2026.
  3. DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines arxiv.org. Checked 19 October 2026.
  4. DSPy – UC Berkeley Sky Computing Lab sky.cs.berkeley.edu. Checked 19 October 2026.
  5. databricks-dspy-cookbook | Ecosystem Directory | market.dev explore.market.dev. Checked 19 October 2026.
  6. Hanna Moazam | Databricks databricks.com. Checked 19 October 2026.