Apoorva Dornadula
ML Engineering Manager, Ads at Dent Capital
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolApoorva Dornadula is an ML engineering leader and founder with 11 years of experience building visual intelligence and ad tech products, currently managing ML engineering for Reddit Ads after leading Smartly.io’s AI Product Lab. She co-founded and served as CTO of Viralspace, which Smartly.io acquired, and now invests in early-stage AI startups as a founding partner at Dent Capital. Her work bridges research and product: a Stanford CS master’s and Stanford Vision Lab background in scene graph/visual relationship research inform her focus on explainable, fair ML for marketers. She’s known for shipping production ML systems that turn visual insights into actionable marketing outcomes and for cultivating high-performing cross-functional teams. Beyond engineering, she pursues MLOps, Sanskrit, and rock climbing—small signals of her appetite for technical depth and continuous learning. Based in San Francisco, she’s open to conversations about AI in industry, MLOps, and the startup journey.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Science, Bachelor of Science - BS Electrical Engineering and Computer Science at University of California, BerkeleyHigh School Diploma, High School Diploma at Mission San Jose High SchoolMaster's degree Computer Science, Master's degree Computer Science at Stanford University
Telugu, English
Stackoverflow
1reputation
0reached
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Github Skills (18)
traceroute9
acl8
network-programming7
netmiko7
yaml7
skynet7
network-automation7
bounding5
blockchain4
arxiv3
million2
pdf2
markup2
decompiler2
computer-vision2
Programming languages (2)
Github contributions (5)
nexusapoorvacus/DeepVariationStructuredRL
Feb 2018 - Jan 2019
Contributions:17 commits, 47 pushes, 1 branch in 10 months
nexusapoorvacus/Handwriting-Recognition
Dec 2017 - Dec 2017
Contributions:5 commits, 10 pushes in 1 day
arxivpdfdeep-learningmarkuptensorflow
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