Thomas Bedor

(763) 439-8856 • tombedor@gmail.com
San Francisco, CA

Professional Summary

Experienced ML Engineering Manager with a proven track record in leading teams to develop innovative machine learning solutions at Block. Passionate about leveraging AI to drive business growth and efficiency. Seeking challenging opportunities in AI-focused companies.

Employment Information

Block (formerly Square)

03/2017 - Present

ML Engineering Manager, Rules Engine

10/2023 - Present

  • Founded and lead a team of 3 engineers to deploy a new rules engine across Block, enhancing system migration and automation efficiency.
  • Technologies: Kotlin, AWS, LLMs (Autogen, MemGPT, Langchain libraries)

ML Engineering Manager, Underwriting and Credit

01/2022 - 10/2023

  • Spearheaded a team of 6, managing ML for CashApp’s credit products, contributing to over $300M in monthly originations.
  • Key Achievements: Developed self-service ML pipelines; integrated a rules engine to streamline modeler productivity.

Software Engineer, Machine Learning Infrastructure

01/2019 - 01/2022

  • Part of the ML platform team, focusing on developing and deploying production ML workloads, significantly improving platform stability.
  • Technologies: Java, React JS, MySQL, Google Cloud, AWS Cloud

Senior Data Engineer, Data Infrastructure

03/2017 - 01/2019

  • Managed data warehouse transition from Vertica to Snowflake, enhancing data accessibility and scalability.
  • Technologies: Ruby, Snowflake, Vertica, Google Cloud

HealthLoop

08/2014 – 03/2017

  • Developed data replication pipelines and internal reporting applications, contributing to improved data analysis and user engagement.

Education

University of Minnesota, 2013

Master of Science in Bioinformatics and Computational Biology

University of Minnesota, 2010

Bachelor of Science in Neuroscience

Skills

  • Programming Languages: Kotlin, Python, Java, Ruby
  • Technologies: AWS, Google Cloud, Snowflake, ML Libraries (Autogen, MemGPT, Langchain)
  • Specialties: Machine Learning Engineering, Data Infrastructure, System Migration

Additional Contributions