Summary
Jerome Schmidt is a data scientist and software engineer based in New York with eight years of hands-on experience building backend systems, ML prototypes, and fintech-focused analytics. He blends practical engineering (Python, Django, Docker, AWS) with applied ML training (Udacity nanodegrees, deep RL coursework, and an MITx Micromasters in Finance) to bridge models and production services. Jerome has shipped automation for supply-chain cost management at Redbubble, led robotics and CS initiatives as a student leader at Make School, and contributed to cloud/security analysis during a Seagate internship. Comfortable both tutoring cohorts of students and leading small engineering teams, he brings an educator’s clarity to complex technical problems. Notably, his NASA research experience included firmware optimization that reduced power draw by 30%, reflecting an attention to efficient, production-ready design.
8 years of coding experience
2 years of employment as a software developer
Deep Reinforcement Learning, Deep Reinforcement Learning at Udacity
Bachelor of Science - BS, Applied Computer Science, Bachelor of Science - BS, Applied Computer Science at Make School
Micromasters, Finance, Micromasters, Finance at MITx on edX
Undergraduate Studies, Computer Engineering, Undergraduate Studies, Computer Engineering at University of Nebraska-Lincoln
High School Diploma, High School Diploma at Pius X High School - Official