Luigi Tedesco
Sr. Applied Scientist at Amazon
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolLuigi Tedesco is a senior applied scientist based in Seattle with 11 years of experience building production ML and data platforms, primarily at Amazon and AWS. He blends research-grade expertise with hands-on engineering—advancing SageMaker integrations and implementing S3-iterable datasets to streamline ML workflows in open-source tooling like aws-sdk-pandas. His background spans data science, R&D leadership, and startup co‑founding, giving him a rare mix of product intuition and systems-level execution. Trained in engineering and computer science across USP, ENSTA and Pierre and Marie Curie, he moves fluidly between embedded systems thinking and cloud-native ML. Colleagues rely on him to translate complex model pipelines into robust, scalable services that drive measurable business impact.
11 years of coding experience
9 years of employment as a software developer
Diplôme d'ingénieur (MSc. Eng.) Computer Science Signals and Embedded Systems, Diplôme d'ingénieur (MSc. Eng.) Computer Science Signals and Embedded Systems at ENSTABachelor of Engineering (BSc. Eng.) Electrical Engineering, Bachelor of Engineering (BSc. Eng.) Electrical Engineering at USP - Universidade de São PauloMaster's Degree Computer Science, Master's Degree Computer Science at Pierre and Marie Curie University
English, Portuguese, French
Github Skills (19)
pytorch10
python10
amazon-sagemaker10
aws10
amazon-s310
aws-s310
s3-bucket10
data-engineering9
pandas9
machine-learning9
aws-glue4
athena3
amazon-redshift3
ray3
parquet3
Programming languages (3)
Github contributions (5)
aws/aws-sdk-pandas
Dec 2019 - Aug 2020
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Role in this project:
ML Engineer
ML EngineerContributions:24 commits, 3 PRs, 21 pushes in 8 months
Contributions summary:Luigi contributed significantly to the `aws/aws-sdk-pandas` repository by developing and integrating a `sagemaker` module. This module allows for the retrieval of model outputs from Amazon SageMaker training jobs. Further contributions include enhancements to the core session object, and the implementation of a S3 iterable data set to support machine learning workflows.
amazon-sagemaker-notebookcsvpythonsqlserverpolars
luigift/appartidarias
Aug 2018 - Oct 2018
Appartidarias - Mulheres do Brasil
Contributions:1 PR, 38 pushes, 3 branches in 1 month
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