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Chiemi Kato

Senior Data Engineer at Supernal

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About

Chiemi Kato is a highly skilled Data Engineer with a passion for delivering scalable software tools and revolutionizing how data is used to drive cost and performance improvements. She has a background in machine learning, software engineering, and reliability, making her an expert in supervised and unsupervised learning, distributed computing, API's, data modeling, natural language processing, orchestration, and automation. Currently, Chiemi works as a Data Engineer for Tesla, where she is responsible for delivering back-end features and API's that focus on safety-critical issues and reliability. She also designs, develops, and maintains internal web applications and scalable data platforms used by vehicle quality engineers, design engineers, and production associates. Prior to her current role, Chiemi worked as a Data Engineer Intern for Tesla, where she developed a machine learning infrastructure tool to robustly track, map, and classify likelihood of internal cell short. She also created Tesla's first-ever thermal physics-based, cell imbalance detection algorithm used to characterize battery over-temperature events in the field. She wrote data processing scripts in Spark, Airflow, SQL, Pandas, and Scikit-Learn and created data visualizations in Plotly Dash, Bokeh, Apache Superset, and Tableau. Apart from her experience at Tesla, Chiemi also worked as a Machine Learning Research Assistant at Tao He's Laboratory (with Fong Lab, UCSF), where she collaborated with a team of bioinformatics students to use machine learning techniques to evaluate novel T-cell populations and their antigenic properties. She developed a predictive classification pipeline to map high-dimensional immunosequencing data to cancer type. Chiemi holds a Bachelor of Science in Applied Mathematics from San Francisco State University and an Associate Degree from City College of San Francisco. She is highly proficient in Python, SQL, Spark, Flask, Javascript, and has experience with Apache Airflow, Scikit, Pandas, and infra. With 2.78 years of relevant experience, Chiemi is a valuable asset to any team looking to build scalable data platforms and deliver impactful data-driven solutions.

Education

-

Companies

supernal

tesla

tao hes laboratory with fong lab ucsf

mari

Experience

5.1 Years

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Experience

Senior Data Engineer, Data Platform

supernal

2023 - Present

Data Engineer, Quality Data Science

tesla | Fremont, California, United States

2019 - 2023

Machine Learning Research Assistant

tao hes laboratory with fong lab ucsf | San Francisco, California

2019 - 2020

Data Science Intern

mari

2019 - 2019

Skills

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Algorithms

Amazon Web Services (AWS)

Apache Spark

Automation

Backend

Big Data

Data Engineering

Data Mining

Data Modeling

Data Pipelines

Data Science

Data Scientist

Design

Distributed Systems

Docker

Express.js

Flask

Front-end Development

Full-Stack Development

Hadoop

Javascript

Kafka

Machine Learning

Natural Language Processing (NLP)

Node.js

Performance Dashboards

Python

Python (Programming Language)

R

React.js

Research

Research Scientist

Scikit-Learn

Software Development

Software Engineering

Spark

SQL

Test Driven Development

Web

Web Applications

Contact Details

Email (Verified)

chiXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXXXX

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