Yogesh Jhamb
Architect - Machine Learning at Adobe
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolYogesh Jhamb is an architect-level machine learning and distributed systems leader based in the San Francisco Bay Area with two decades of engineering experience and eight years focused on ML and data platforms. He has led architecture and implementation of high-throughput, production-grade systems at Adobe and Apple—designing Databricks/PySpark and PyTorch pipelines that process terabytes daily and Java/Kafka microservices handling >1000 TPS. His recent work includes building an image annotation pipeline and deploying transformer-based models for PDF data classification and PII redaction, integrating ML workflows with C++ PDF utilities for end-to-end automation. Comfortable bridging research-grade ML and enterprise engineering, he brings deep systems expertise from bioinformatics and security products to fintech and document intelligence. He holds advanced degrees from Santa Clara University, reflecting a strong academic foundation that informs pragmatic, scalable designs.
8 years of coding experience
19 years of employment as a software developer
Ph.D., Computer Engineering, M.S., Computer Engineering, B.S., Computer Science, Ph.D., Computer Engineering, M.S., Computer Engineering, B.S., Computer Science at Santa Clara University
Santa Clara UniversityGithub contributions (4)
yjhamb/acda
Oct 2017 - May 2019
Contributions:27 commits, 132 pushes, 1 branch in 1 year 7 months
yjhamb/poc-ds
Aug 2018 - Oct 2018
Contributions:8 pushes, 1 branch in 1 month
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