Isabella Tromba
Founder at Tangram
United States
Summary
🤩
Rockstar🎓
Top SchoolIsabella Tromba is a founder and machine learning engineer with 11 years of experience building practical ML and software systems, currently leading Tangram. She combines hands-on engineering from early roles at Slack, Apple, and MIT Media Lab with research experience in physics and biology from UCSC and MIT, giving her a rare cross-disciplinary perspective on applied ML and imaging. At Tangram she focuses on turning model research into production-ready tooling and has contributed to open-source ML infrastructure work such as ModelFox, improving benchmark reliability and evaluation for tree models. Her background includes building medical image-processing pipelines and Monte Carlo simulation tools, demonstrating comfort across low-level systems and high-level model deployment. Colleagues describe her as a founder who ships robust, measurable systems and prefers standardizing and refactoring code to make complex experiments repeatable. She holds dual degrees in Computer Science and Mathematics and an MEng in Computer Science from MIT.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Massachusetts Institute of Technology
German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
machine-learning10
benchmarking10
benchmark10
rust10
automl10
python9
crate9
rust-crates9
rust-lang9
xgboost8
go4
el4
golang4
elixir4
javascript3
Programming languages (5)
Github contributions (5)
modelfoxdotdev/modelfox
Apr 2021 - May 2022
ModelFox makes it easy to train, deploy, and monitor machine learning models.
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 86 commits, 2 PRs in 1 year 1 month
Contributions summary:Isabella primarily focused on enhancing and maintaining the tree benchmarks within the ModelFox repository. Their work involved fixing paths for benchmark artifacts, cleaning up and refactoring benchmark code across multiple datasets such as Higgs, Flights, Allstate, and others. Furthermore, the user updated the benchmarks to utilize gnu time and refactored and standardized code for testing and evaluation within the linear and tree benchmark frameworks.
rust-librarymonitorpythonjsrust-crate
isabella/this-week-in-rust
Nov 2021 - Aug 2022
Data for this-week-in-rust.org
Contributions:10 pushes in 8 months
rusteguiduplicatesrust-languagerust-lang
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