Dhaval Doshi
Sr. ML Engineering Manager at Apple
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDhaval Doshi is a Sr. ML Engineering Manager in Seattle with a decade of experience building and optimizing large-scale AI infrastructure, currently leading Apple's Foundation Model Inference team. He specializes in making LLMs run faster and reliably in production, with deep expertise in GPU-aware infrastructure, distributed training and inference, and telemetry-driven optimization. His background includes architecting planet-scale AI services at Microsoft Azure—designing monitoring, tracing, and early-termination systems to improve efficiency—and hands-on contributions to the popular Application Insights Java SDK. Pragmatic and engineering-first, he blends low-level performance tuning with production observability to shrink model latency and operational cost. He holds an MS in Computer Science and is known for turning telemetry and ML insights into measurable system improvements.
10 years of coding experience
5 years of employment as a software developer
Rajiv Gandhi Proudyogiki VishwavidyalayaMaster of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Illinois Chicago
Gujarati, Hindi, English
Stackoverflow
129reputation
14kreached
12answers
2questions
Github Skills (14)
javas10
sdk10
azure-application-insights10
telemetry10
java10
app-insights10
testing10
json-serialization9
azure-monitoring6
azure6
logback6
log4j6
bytecode-manipulation6
spring-boot6
Programming languages (8)
Github contributions (5)
microsoft/ApplicationInsights-Java
Aug 2017 - Apr 2019
Application Insights for Java
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 releases, 221 commits, 185 PRs in 1 year 7 months
Contributions summary:Dhaval primarily focused on fixing bugs and improving the core functionality of the Application Insights for Java SDK. Their work involved reverting and updating null checks in critical classes, fixing duration write methods, and addressing custom event sending issues. The user also made improvements in sanitization of strings and adding related test cases, contributing to the overall robustness and reliability of the SDK.
java-agentapplication-insightssqlobservabilitysdk
dhaval24/Interview-Prep
Jun 2016 - Mar 2017
Contributions:12 pushes, 1 branch in 8 months
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