Teddy Koker

Data Scientist

https://talent.gravityer.com/teddy-koker

PhD student at MIT

MIT

Key Strengths

Strong foundational knowledge in Python for machine learning and deep learning.
Extensive personal projects demonstrating practical application of advanced AI/ML concepts (e.g., differentiable sorting, deep learning for audio, generative models).
Experience with PyTorch, indicating proficiency in a leading deep learning framework.
Exposure to performance optimization (Cuda, C++) in ML contexts.
Demonstrated interest in research-oriented projects (e.g., Nequix, evidential learning).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards independent research and development, particularly in advanced AI/ML topics. The current role at MIT as a Data Scientist aligns well with the target role. However, the projects are predominantly personal and research-focused, which might indicate a preference for academic or highly innovative environments. The breadth of technologies outside of core ML/Python is limited, which could impact fit in roles requiring broader engineering skills.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

nequix

August 17, 2025 – Present

[ICML'26] Phonon fine-tuning (PFT) and [NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget

View Project

closedai

March 25, 2023 – May 11, 2023

Drop in replacement for OpenAI, but with Open models.

View Project

evidential-learning-pytorch

September 20, 2022 – September 27, 2022

Evidential Deep Learning in PyTorch

View Project

cryptopunks-gan

February 28, 2022 – February 28, 2022

Simple SN-GAN to generate CryptoPunks

View Project

torchsort

March 19, 2021 – Present

Fast, differentiable sorting and ranking in PyTorch

View Project

tinyloader

December 13, 2020 – March 24, 2025

tinyloader — GitHub repository

View Project

image-gpt

June 20, 2020 – October 3, 2023

PyTorch Implementation of OpenAI's Image GPT

View Project

pedalnet

April 5, 2020 – July 6, 2023

Deep Learning for Guitar Effect Emulation

View Project

blog

April 19, 2019 – Present

Source code for my personal blog

View Project

survivorship-free-spy

April 15, 2019 – March 6, 2024

survivorship-free-spy — GitHub repository

View Project

Key Strengths

Strong foundational knowledge in Python for machine learning and deep learning.
Extensive personal projects demonstrating practical application of advanced AI/ML concepts (e.g., differentiable sorting, deep learning for audio, generative models).
Experience with PyTorch, indicating proficiency in a leading deep learning framework.
Exposure to performance optimization (Cuda, C++) in ML contexts.
Demonstrated interest in research-oriented projects (e.g., Nequix, evidential learning).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Teddy Koker

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit