Sohum Hulyalkar
About Sohum Hulyalkar
Sohum Hulyalkar is a Software Engineer specializing in backend development and database design, currently working at Scale AI. He has a background in teaching and mentoring at UC Berkeley and has held various engineering roles at notable companies including Intuit and Dolby Laboratories.
Work at ScaleAI
Sohum Hulyalkar currently serves as a Software Engineer at Scale AI, a position he has held since 2022. He is based in the San Francisco Bay Area and works on-site. In his role, he leads the Fraud Detection workstream on the Generative AI team, managing a team of eight individuals. His responsibilities include overseeing the development and implementation of engineering solutions that enhance fraud detection capabilities.
Education and Expertise
Sohum Hulyalkar earned a Bachelor's degree in Computer Science from the University of California, Berkeley, where he studied from 2018 to 2022. Prior to that, he completed his high school education at Los Gatos High School, graduating with a High School Diploma in 2018. He specializes in backend development and database design as a full-stack engineer, demonstrating proficiency in AWS integrations, including Step Functions and S3.
Background
Sohum Hulyalkar has a diverse background in software engineering and education. He worked as a Data Structures and Algorithms Teaching Assistant at UC Berkeley's Electrical Engineering & Computer Sciences (EECS) from 2020 to 2022. Additionally, he held various roles at Computer Science Mentors, including CS 88 Coordinator, Senior Mentor, and Junior Mentor, contributing to the development of computer science education in Berkeley. His experience also includes positions at Intuit and Dolby Laboratories.
Achievements
Throughout his career, Sohum Hulyalkar has been recognized for his ability to quickly scope out and implement intuitive and technically robust engineering solutions. His leadership in the Fraud Detection workstream at Scale AI highlights his capability to manage teams effectively and drive projects forward. His extensive experience with databases such as Postgres, Mongo, and Snowflake further underscores his technical expertise in software engineering.