Sarah Monod
Software Engineer @ Python Infrastructure & Data Processing

Sarah Monod
Summary

Software engineer with nine years at Bloomberg across Python infrastructure and data processing in New York and London. My work spans infrastructure used by 9,000+ engineers, day-one production support for new Python releases, and pipelines processing millions of time series.

Software Engineer

2017–Present · 9 years
New York & London

Python Infrastructure & Developer Experience New York

  • Coordinated hundreds of teams to remove five end-of-life interpreters company-wide, with upgrades every six months that improved developer experience and reduced security and regulatory risk.
  • Integrated a security-by-default authentication and authorization library into a C⁠+⁠+ extension serving 9,000+ engineers, with no user code changes.
  • Delivered day-one production support for upstream Python releases four years running.
  • Created a web application to automatically upgrade repositories to newer Python versions.
  • Maintained Memray, the go-to Python memory profiler (used in CPython’s memory benchmark suite), and PyStack, a Python and native stack inspector for running processes and core dumps.

Public Speaking, Teaching & Mentoring New York, PyCon US

  • Delivered technical talks and classes as a subject matter expert and teacher.
  • Taught engineers how to use AI agents and introductory machine learning (ML 101), including training their own models.
  • Organized an internal software engineering course and mentoring program.
  • Organized Bloomberg open-source sprints at PyCon US for four consecutive years.

Data Processing & Acquisition London

  • Designed and deployed reusable components processing millions of time series.
  • Turned an initial COVID data ingestion workflow into a production-grade pipeline in less than 10 days.

Engineering Skills

Engineering & Delivery Agile development, product ownership, collaborative design, automated testing, business value

Python internals CPython C API, Python–C/C⁠+⁠+ interoperability, native extensions

Systems Distributed systems, microservices, data pipelines

Data Comdb2, Kafka, MySQL, Oracle, document databases

Languages Python, C, C⁠+⁠+, Go

Earlier Experience

Coorpacademy · Data Science Intern 2016 · Paris
Built a TensorFlow recommendation engine and Spark streaming analytics pipeline.

Google · Reliability Engineering Intern 2015 · Dublin
Automated recovery from MySQL data drift in large-scale production.

Altran & SAP · Software Engineering Internships 2013–2014
Worked on semantic deep learning and scalable processing with HBase.

Education

Georgia Institute of Technology
MS, Computer Science · Machine Learning
2016–2017 · Dual degree

INSA Lyon
Engineering Degree, Computer Science
2013–2017 · Dual degree

Paris Descartes
Two-year Computer Science Degree · 2011–2013

Languages & Community

Native language French

Fluent languages
  • English
  • German
  • Spanish
Additional language study
  • Mandarin Chinese
  • Italian

Community teaching Taught children free weekly coding classes through Code Club at a local library.