# Corentin Caer > Senior Software Engineer @ Sigma Location: San Francisco, California, United States Profile: https://flows.cv/corentincaer We're building a platform that empowers anyone to build powerful applications and workflows directly on top of their company's data. Imagine creating your own version of tools like Anaplan or Expensify, without needing to write code, all within Sigma. I work on Actions: Sigma's low-code solution for defining the workflows that drive data apps, making it easy to turn raw data into operational tools. ## Work Experience ### Senior Software Engineer @ Sigma Jan 2025 – Present | San Francisco, CA Building Sigma's AI copilot for workbooks (AI Builder) — an agent that uses natural language to create dashboards and applications. I helped design the core agent harness and helped build the evaluation infrastructure now used across all of Sigma's AI features. I also led the App Logic team, building Actions — a low-code solution that transforms static BI dashboards into interactive workflows with background execution and AI integrations. ### Software Engineer @ Sigma Jan 2023 – Jan 2025 | San Francisco, California, United States • Early engineer on the App Logic team, shipped Actions • Built enterprise features: audit logging, authentication, OAuth integrations ### Codepoint Fellow @ Sutter Hill Ventures Jan 2023 – Jan 2024 | San Francisco, California, United States Technical fellowship at SHV ### CS 341 Course Assistant @ University of Illinois Urbana-Champaign Jan 2022 – Jan 2023 | Urbana-Champaign Area • Held office hours and assisted students in debugging programs written in C using GDB and Valgrind • Guided students in implementing low-level POSIX features such as a filesystem, shell, and malloc • Maintained the CS 341 autograder used within the CS department to automatically grade assignments ### SWE Intern @ Microsoft Jan 2022 – Jan 2022 | Bellevue, Washington, United States • Deployed ML models to predict potential hardware and software failures in real time for over 23,000 internet devices that power the Azure network, aiming to increase overall reliability • Incrementally trained XGBoost models on over 40GB of data daily by implementing batch training methods to prevent model drift and increase overall performance • Generated new features by leveraging feature engineering and scheduled SQL functions to increase model performance to over 90% accuracy ### SDE Intern @ Amazon Jan 2021 – Jan 2021 | Seattle, Washington, United States • Increased reliability of Amazon’s fraud platform by deploying a new service to manage the run time of a ML platform saving roughly $4,000,000 a year • Developed Lambda functions using Java and Dagger to collect roughly 100,000 orders every five minutes and detect fraudulent orders using internal ML platforms • Deployed the service into production across four Amazon regions and thirteen countries ### SWE Intern @ Apply Digital Jan 2020 – Jan 2020 • Developed a REST API using AWS Lambda to notarize Canadian documentation remotely • Developed a Chrome Extension using React and AWS Cognito to allow lawyers to notarize client documentation over video calls • Implemented new designs for the corporate website using SvelteKit and the Svelte animation library ### Research Intern @ Cornell University Jan 2017 – Jan 2017 | Ithaca, New York Area • Analyzed the construction of beehives by processing timelapse footage with OpenCV and Python to understand the structures that bees use to build their hives • Built custom camera rigs to periodically photograph 5 hives by scheduling capture jobs through Python scripts and carefully placed lighting to capture high resolution photos without disturbing the bees • Collaborated with non-technical researchers to optimize the time at which the photos of the hives were taken ### Research Intern @ Max Planck Institute for Intelligent Systems Jan 2016 – Jan 2016 | Stuttgart Area, Germany • Built microcomputers by assembling electrical circuits and writing C code to control robotic legs inspired by the mechanics of spider legs • Performed roughly 300 experiments by testing the performance of the robot with various parameters to establish the potential performance of the robot • Contributed to a paper by calculating statistics about the experiments ## Education ### Bachelor of Science - BS in Physics University of Illinois Urbana-Champaign ### High School Diploma Horace Mann School ## Contact & Social - LinkedIn: https://linkedin.com/in/tinocaer - Portfolio: https://tinocaer.com --- Source: https://flows.cv/corentincaer JSON Resume: https://flows.cv/corentincaer/resume.json Last updated: 2026-03-31