Dhruv Kaul

Research Assistant at USC Trojan Sports Research Lab

Los Angeles, California, United States
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Summary

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Senior
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Top School
Dhruv Kaul is a machine learning and computer vision engineer completing a combined BS/MS in Computer Science at USC with nine years of hands-on experience building AI systems for fintech, AR, and Web3. He has deployed production ML pipelines on AWS to process terabytes of data for credit decisioning, engineered a PyTorch model that improved 3D AR display accuracy of cultural artifacts by 53%, and led delivery of GenAI chatbots with safety guardrails using Bedrock. Comfortable across backend systems, LLM prompt engineering, and full-stack mobile integrations, Dhruv blends research contributions—acknowledged in publications on algorithmic prompt generation—with pragmatic engineering that reduces data collection and deployment time. Based in Los Angeles, he’s actively exploring roles in ML, computer vision, LLM/NLP, or backend development for summer 2026 and is passionate about scalable, high-throughput AI systems that bridge research and product.
code9 years of coding experience
job1 year of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at University of Southern California
bookNone, Computer Science, None, Computer Science at St Christopher's School, Bahrain
languagesFrench, Hindi, English
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Github Skills (89)

databases10
sql10
database10
kafka10
java10
indexing10
sql-query9
trino9
big-data9
presto9
snowplow9
kudu9
h29
hadoop9
jdbc9

Programming languages (7)

C#JavaTeXJavaScriptGoHTMLPython

Github contributions (5)

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dhruvp-8/arancia

Jul 2019 - Sep 2019

A distributed KV Store written in Go and Python based on 2PC protocol with consistent hashing.
Contributions:42 commits, 40 pushes, 1 branch in 1 month
hashingproxy-serverpythonflaskconsistent-hashing
dhruvp-8/file-transfer

Apr 2017 - Sep 2019

A Simple Peer-to-Peer file transfer
Contributions:25 commits, 25 pushes, 2 branches in 2 years 6 months
rustp2psimple-peerfile-transferpeer-to-peer
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