Summary
Deep Gosalia is an Associate SDE with 8 years of hands-on experience building scalable data platforms and production applications, currently driving distributed pipelines and LLM-enabled productivity tools at Goldman Sachs. He blends backend expertise (Java, Spark, Kafka, Snowflake) with modern frontend and automation skills (React, OfficeJS, Power Automate) to deliver end-to-end solutions that process billions of rows and reduce manual effort by measurable margins. Deep’s recent work includes a prompt-tuned agentic framework that accelerates legal document drafting for bankers and a 15B+ row join pipeline—demonstrating rare fluency across data engineering and applied AI. He holds an MS in Computational Science from UT Dallas and a BE in Computer Engineering, pairing strong academic foundations with production impact. Notably, his background spans high-scale consumer streaming and crypto platform work, giving him practical insight into realtime systems and monetization flows. Based in Frisco, Texas, he combines analytical rigor with pragmatic engineering to turn complex requirements into auditable, automated workflows.
8 years of coding experience
3 years of employment as a software developer
Master of Science Computational Science, Master of Science Computational Science at The University of Texas at Dallas
ICSE Computer Science, ICSE Computer Science at Kapol Vidhyanidhi International School
Bachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at Dwarkadas J. Sanghvi College of Engineering