Lintang Sutawika

Pittsburgh, Pennsylvania, United States

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Summary

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Rockstar

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Top School

Lintang Sutawika is a researcher-engineer entering a PhD at Carnegie Mellon focused on how pretraining data shapes language model capabilities like in-context learning. With 11 years of experience spanning founding an OCR startup acquired by Datasaur (where he became VP of AI) to contributing to EleutherAI’s interpretability work, he blends product leadership with deep technical research. He maintains and contributes to widely used open-source evaluation tooling (LM Evaluation Harness) and has contributed to EleutherAI’s pythia repo on learning dynamics and numerical reasoning benchmarks. Comfortable moving between production AI systems and probing model internals, he also brings a hardware and robotics background from early roles, giving him a practical edge in systems and data collection.

11 years of coding experience

7 years of employment as a software developer

Doctor of Philosophy - PhD, Language and Information Technologies, Doctor of Philosophy - PhD, Language and Information Technologies at Carnegie Mellon University School of Computer Science

Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of Indonesia

Indonesian, English

Stackoverflow

Stats

100reputation

8kreached

7answers

0questions

Github Skills (13)

data-visualizations10

pandas10

machine-learning10

data-visualization10

data-visualisation10

python10

data-analysis10

calculus6

pytorch6

pivot-tables6

deep-learning6

tensorflow6

dataframe6

Programming languages (5)

C++CHTMLJupyter NotebookPython

Github contributions (5)

EleutherAI/pythia

Jan 2023 - Feb 2023

The hub for EleutherAI's work on interpretability and learning dynamics

Role in this project:

Data Scientist

Contributions:1 review, 47 commits, 4 PRs in 29 days

Contributions summary:Lintang contributed significantly to the project by adding and modifying scripts for numerical reasoning tasks within the context of a machine-learning project. The commits included the creation of datasets and evaluation pipelines for assessing model performance on numerical reasoning benchmarks. Furthermore, the user made significant modifications to graphing functions for data visualization.

EleutherAI/architecture-objective

Oct 2022 - Nov 2022

Contributions:82 commits, 18 PRs, 48 pushes in 1 month

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