Kyle Jablon

Kyle Jablon is a dedicated ML Engineer at Slack with previous experience as a full-stack Data Scientist at GrubHub.

His expertise lies in applying distributed computing and machine learning to effectively tackle challenges within the industry.

Kyle is skilled in the end-to-end model productionization process, encompassing cross-functional collaboration, converting business issues into machine learning challenges, and constructing and organizing ETL pipelines.

Since 2016, he has been proficient in utilizing Apache Spark and has recently delved into Dask.

Currently, Kyle is concurrently pursuing a part-time Master's in Computer Science with a specialization in Machine Learning.

His professional portfolio includes projects such as natural language processing for classification, customer segmentation, lifetime value computation, and fraud detection.

Kyle Jablon's educational background comprises a Master's Degree with a focus on Machine Learning from Georgia Institute of Technology, a Bachelor's Degree in Computer Science and Economics from the University of Chicago, and high school education from Torrey Pines High School.

Throughout his career, Kyle has held various positions including Software Engineer in Machine Learning at Slack, Senior Data Scientist, Data Scientist, and Data Scientist I at GrubHub, Harper Computer Science Tutor at The University of Chicago, Data Engineering Intern at GrubHub, Masters Grader for Advanced Databases at The University of Chicago, Software Development Intern at Startup Policy Lab, Front Desk Agent at Pacifica Host Hotels, and Debate Coach at National Circuit.