Palani Thangaraj
About Palani Thangaraj
Palani Thangaraj is a Machine Learning/Data Engineer currently working at Atomic, where he has designed a modern lakehouse architecture using Spark delta tables. He has a background in data analysis and engineering from his previous roles at Homie and has a Bachelor's degree in Mechanical Engineering - Computer Science from the University of Utah.
Work at Atomic
Palani Thangaraj has been employed at Atomic as a Machine Learning/Data Engineer since 2021. In this role, he has designed and implemented a modern lakehouse architecture utilizing Spark delta tables. His responsibilities include integrating machine learning models into production codebases to enhance automation. He has also architected Databricks workspaces, managing permissions, storage, and compute resources using Infrastructure as Code with Pulumi.
Previous Experience at Homie
Thangaraj worked at Homie in various capacities from 2019 to 2021. He began as a Data Analyst Intern for three months in 2019, followed by a role as a Data Analyst for eight months. He then transitioned to a Data Engineer position, where he worked for one year. His experience at Homie involved data analysis and engineering tasks that contributed to the company's data-driven initiatives.
Education and Expertise
Palani Thangaraj earned a Bachelor's degree in Mechanical Engineering with a focus on Computer Science from the University of Utah, completing his studies from 2014 to 2020. His educational background provided him with a solid foundation in engineering principles and computer science, which he has applied in his professional roles, particularly in machine learning and data engineering.
Internship Experience
Thangaraj gained early experience as an Engineering Intern at Veristride in 2013 for two months. He also served as a Venture Capital Associate at University Growth Fund from 2018 to 2020, where he was involved in investment analysis and decision-making processes. These roles contributed to his understanding of technology and finance.
Technical Contributions
In his career, Thangaraj has developed web crawling and recording tools using Puppeteer, which facilitated programming by demonstration. He has also innovated machine learning handling of various CSS stylings and iframes through Puppeteer element tagging and modifications. These contributions reflect his technical skills and ability to integrate machine learning with web technologies.