Avadh Patel
Senior Software Engineering Manager at Indeed.com
Austin, Texas Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAvadh Patel is a Senior Software Engineering Manager at Indeed with 26 years of experience leading cross-functional teams to deliver large-scale product and platform initiatives, currently focused on the Employer organization's jobs dashboard. He blends deep systems and hardware research—holding a PhD in Computer Architecture—with hands-on product engineering, having built a next-generation virtual assistant and led development of the open-source Marss-x86 full-system simulator. His background spans performance engineering at Intel, principal-level work at Oracle, and innovations in silicon photonics, multicore design, and neural network optimizations. An active contributor to industrial NLP tooling, he has improved spaCy's model loading and parser performance, reflecting a pragmatic focus on production efficiency. Based in Austin, he is known for translating academic research into deployable systems and for injecting measurable performance gains across both software and hardware stacks.
26 years of coding experience
12 years of employment as a software developer
B.E., Electronics and Communication, B.E., Electronics and Communication at L.D. College of EngineeringDoctor of Philosophy (PhD), Computer Architecture, Doctor of Philosophy (PhD), Computer Architecture at State University of New York at Binghamton
Stackoverflow
36reputation
7kreached
4answers
5questions
Github Skills (15)
nlp10
python10
cython10
neural-network9
machine-learning9
deep-learning8
artificial-intelligence8
datepicker6
php6
javascript6
mongodb6
jquery6
symfony6
magento6
owl-carousel6
Programming languages (4)
Github contributions (5)
explosion/spaCy
Jan 2018 - Jan 2018
💫 Industrial-strength Natural Language Processing (NLP) in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 3 PRs, 3 comments in 4 days
Contributions summary:Avadh primarily contributed to the core logic of the spaCy library, focusing on model optimization and performance improvements. Their commits involve modifying the neural network parser, specifically preventing unnecessary model training during loading from disk, which significantly enhances loading time. Additionally, the user made updates to model building processes, aligning with suggestions from Matthew. The changes demonstrate a focus on improving the efficiency and functionality of the NLP library.
fairness-mlpythondata-preprocessinglanguage-processingtokenization
avadhpatel/marss
Sep 2009 - Apr 2018
PTLsim and QEMU based Computer Architecture Research Simulator
Contributions:619 commits, 1 PR, 1 push in 8 years 8 months
simulationqemusimulatorcomputer-architecturearchitecture
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