About
Kyle Lin is a Battery Data Analyst at Element Energy, where he applies his multidisciplinary expertise in Computer Science and Materials Science to solve complex challenges in the energy sector.
His work encompasses data analysis, data engineering, and the development of software and algorithms, all aimed at advancing next-generation battery management systems on a GWh scale. Kyle's mission is to leverage Machine Learning and AI to optimize battery performance while minimizing safety risks.
Kyle earned a Master’s degree in Materials Science from Stanford University, where he conducted research on solid-state batteries under Professor William Chueh. During his time at Stanford, he also developed strong skills in programming and software development, further enhancing his ability to innovate at the intersection of materials science and technology.
Software, Data, and Materials Engineer
"Every problem is an opportunity."
- Education: MS in Materials Science, Stanford University
- Location: San Francisco Bay Area
- Email: ptlin84@alumni.stanford.edu
- Mobile: +1 (650) 485-9187
Outside of work, I enjoy reading📚, playing guitar🎸, swimming🏊, cooking🍳, and riding motorcycles🏍.
Skills
Software Development
| Category | Skills |
|---|---|
| Languages | Python, C/C++, JavaScript, Bash, SQL |
| Data Engineering | Database (MongoDB, SQLite, Redis), Warehouse (BigQuery), Pipeline (Luigi), Visualization (Plotly) |
| Python Tools | pandas, NumPy, polars, Typer, pytest, scikit-learn, PyTorch, Sphinx |
| Web Dev Tools | Flask, Plotly Dash, HTML, CSS, React, Node.js, FastAPI, Gunicorn, Nginx |
| DevOps Tools | Docker, CI/CD, Git, Bitbucket, Linux |
Materials Engineering
| Category | Skills |
|---|---|
| Processes | Welding, Thermal-Mechanical Processing |
| Microstructural Analysis | OM, SEM, EDS, EBSD, EPMA |
| Mechanical Properties | Tensile Testing, Hardness, Microhardness |
| Characterization | DSC, DTA, DIL, XRD, XPS, Electrochemistry |
| Automated Manufacutring | Laser Displacement Sensors, Metrology, Data Communications |
Resume
Summary
Kyle Lin
Cross-disciplinary engineer with expertises in software development, data engineering, and materials engineering. Proficient in leveraging diverse skills to solve complex problems and drive innovation.
Education
Master of Science
Materials Science and Engineering
Materials Science and Engineering
Stanford University, Stanford, CA
2021 - 2023
- President of Stanford Taiwanese Student Association
- Researcher in Professor William Chueh's group
- Winner of Treehacks, Stanford's biggest yearly hackathon
Bachelor of Science
Materials Science and Engineering
+
Bachelor of Arts
Economics
National Tsing Hua Unviersity, Hsinchu, Taiwan
2014 - 2018
-
Completed double majors in 4 years
-
Research assistant at High Performance Alloys Lab
-
Member of Blue Sky Juvenile Caring Club
Research Experience
Graduate Researcher
Professor William Chueh Group, Stanford University
2021 - 2023
-
Studied the effect of surface contaminant removal processes on LLZO solid electrolyte to enhance interfacial ion conductivity
-
Built 15+ coin/pouch cells in glovebox and performed EIS and cycling tests to evaluate cell performance
Research Assistant
High-Entropy Materials Center, National Tsing Hua University
2017 - 2020
-
Led 4 projects, coauthored 6 publications (180+ citations), 1 patent, and presented in 3 academic conferences
-
Led the collaboration with Tohoku University, Japan on the research of friction-stir welded high-entropy alloys
-
Designed and executed experiments and analyses, including alloy fabrication, processing, microstructural analysis, and mechanical analysis (microhardness and tensile tests)
Professional Experience
Battery Data Analyst
Element Energy, Menlo Park, CA
2023 - Present
-
Led and developed a Python web app for format-agnostic data visualization and algorithm execution, reducing average dataset visualization time from 5 minutes using code to 10 seconds without code
-
Developed a data dashboard from scratch using Plotly Dash and MongoDB Atlas, handling gigabytes of time-series battery data and incorporating dynamic data resampling to enhance rendering speed by over 10x
-
Streamlined data pipelines using cron, Luigi, Typer, and Docker
-
Managed the deployment of 5+ web apps using Bash scripts to build Docker images and serve apps in local network
Engineer Intern
QuantumScape Corporation, San Jose, CA
Summer 2022
-
Engineered automated data processing in Python, resulting in an 80% reduction in manual work by querying SQL database for electrical data of 300+ battery cells and classifying them with pandas and scikit-learn
Technical Support Engineer
Keyence Corporation, Taipei, Taiwan
2020 - 2021
-
Supported customers on the use of 8 models of laser displacement sensors in production lines, including specifications communications, sensor configurations, and ensuring optimal data processing and output
-
Spearheaded 2-month technical training for 3 new hire sales engineers on principles and applications of laser sensors
Product Development Engineer
Successful Advanced Materials, Hsinchu, Taiwan
2019 - 2020
-
Developed and patented metal matrix composite powders for high-hardness coatings in injection molding machines
-
Prototyped electromagnetic acoustic transducers for injection molding process monitoring
Process Engineer Intern
Taiwan Semiconductor Manufacturing Company (TSMC), Hsinchu, Taiwan
Summer 2019
-
Conducted experiments and proposed a mechanism that leads to target poisoning and process instability in a PVD tool
-
Improved in-line Ta/TaN thin-film deposition process productivity by 400% after tweaking the process recipe
Materials Science and Engineering
+
Bachelor of Arts
Economics
National Tsing Hua Unviersity, Hsinchu, Taiwan
2014 - 2018
-
Completed double majors in 4 years
-
Research assistant at High Performance Alloys Lab
-
Member of Blue Sky Juvenile Caring Club
Research Experience
Graduate Researcher
Professor William Chueh Group, Stanford University
2021 - 2023
-
Studied the effect of surface contaminant removal processes on LLZO solid electrolyte to enhance interfacial ion conductivity
-
Built 15+ coin/pouch cells in glovebox and performed EIS and cycling tests to evaluate cell performance
Research Assistant
High-Entropy Materials Center, National Tsing Hua University
2017 - 2020
-
Led 4 projects, coauthored 6 publications (180+ citations), 1 patent, and presented in 3 academic conferences
-
Led the collaboration with Tohoku University, Japan on the research of friction-stir welded high-entropy alloys
-
Designed and executed experiments and analyses, including alloy fabrication, processing, microstructural analysis, and mechanical analysis (microhardness and tensile tests)
Economics
National Tsing Hua Unviersity, Hsinchu, Taiwan
2014 - 2018
- Completed double majors in 4 years
- Research assistant at High Performance Alloys Lab
- Member of Blue Sky Juvenile Caring Club
Graduate Researcher
Professor William Chueh Group, Stanford University
2021 - 2023
- Studied the effect of surface contaminant removal processes on LLZO solid electrolyte to enhance interfacial ion conductivity
- Built 15+ coin/pouch cells in glovebox and performed EIS and cycling tests to evaluate cell performance
Research Assistant
High-Entropy Materials Center, National Tsing Hua University
2017 - 2020
- Led 4 projects, coauthored 6 publications (180+ citations), 1 patent, and presented in 3 academic conferences
- Led the collaboration with Tohoku University, Japan on the research of friction-stir welded high-entropy alloys
- Designed and executed experiments and analyses, including alloy fabrication, processing, microstructural analysis, and mechanical analysis (microhardness and tensile tests)
Professional Experience
Battery Data Analyst
Element Energy, Menlo Park, CA
2023 - Present
- Led and developed a Python web app for format-agnostic data visualization and algorithm execution, reducing average dataset visualization time from 5 minutes using code to 10 seconds without code
- Developed a data dashboard from scratch using Plotly Dash and MongoDB Atlas, handling gigabytes of time-series battery data and incorporating dynamic data resampling to enhance rendering speed by over 10x
- Streamlined data pipelines using cron, Luigi, Typer, and Docker
- Managed the deployment of 5+ web apps using Bash scripts to build Docker images and serve apps in local network
Engineer Intern
QuantumScape Corporation, San Jose, CA
Summer 2022
- Engineered automated data processing in Python, resulting in an 80% reduction in manual work by querying SQL database for electrical data of 300+ battery cells and classifying them with pandas and scikit-learn
Technical Support Engineer
Keyence Corporation, Taipei, Taiwan
2020 - 2021
- Supported customers on the use of 8 models of laser displacement sensors in production lines, including specifications communications, sensor configurations, and ensuring optimal data processing and output
- Spearheaded 2-month technical training for 3 new hire sales engineers on principles and applications of laser sensors
Product Development Engineer
Successful Advanced Materials, Hsinchu, Taiwan
2019 - 2020
- Developed and patented metal matrix composite powders for high-hardness coatings in injection molding machines
- Prototyped electromagnetic acoustic transducers for injection molding process monitoring
Process Engineer Intern
Taiwan Semiconductor Manufacturing Company (TSMC), Hsinchu, Taiwan
Summer 2019
- Conducted experiments and proposed a mechanism that leads to target poisoning and process instability in a PVD tool
- Improved in-line Ta/TaN thin-film deposition process productivity by 400% after tweaking the process recipe
