Chiemi Kato
Senior Data Engineer at Supernal
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
Experience
Machine Learning Research Assistant
tao hes laboratory with fong lab ucsf | San Francisco, California
2019 - 2020
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)
chiXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
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