ML at Keras, Google | Prev. Applied Scientist at Amazon
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
June 19, 2026 – Present
tpu-inference
May 6, 2025 – Present
TPU inference for vLLM, with unified JAX and PyTorch support.
View Projectkeras-core
April 9, 2023 – Present
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
View Projecticd-coding-benchmark
November 24, 2021 – May 2, 2023
Automatic ICD coding benchmark based on the MIMIC dataset
View ProjectDRIFT
March 14, 2021 – October 16, 2025
DRIFT is a tool for Diachronic Analysis of Scientific Literature.
View Projectsuper-pixels
February 27, 2021 – August 12, 2022
Code for our paper: Superpixel-based Domain-Knowledge Infusion in Computer Vision (https://arxiv.org/abs/2105.09448)
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on the Keras ecosystem and deep learning, indicating a strong passion for this specific area. While this shows dedication, the lack of diversity in project types outside of deep learning and recommender systems might suggest a narrower range of interests or experience. The target role is 'Data Scientist', which aligns well with the technical skills demonstrated. However, the 'experienceLevel' is 0, which contradicts the current role at Google, making it difficult to fully assess cultural fit based on career progression.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on technical contributions and open-source development. Without psychometric or English test scores, it is difficult to assess communication, logical reasoning, work attitude, stress handling, or team collaboration. The candidate's current role at Google as a Data Scientist suggests a professional operational fit, but details are lacking.