Avani Wildani

CTO

San Francisco, California, United States20 yrs 10 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 20 years of experience in AI and machine learning.
  • Co-Founder of SimBioSys Lab with multiple publications.
  • Currently leading AI research at Cloudflare.
Stackforce AI infers this person is a Senior AI Researcher with expertise in machine learning and distributed systems.

Contact

Skills

Core Skills

Data AnalysisData ManagementSystem ImplementationLog AnalysisDocumentation

Other Skills

PythonMatlabJavaHTMLCSSCloud ComputingAlgorithmsTechnical WritingArtificial IntelligenceCOperating SystemsUnixProgrammingC++Android

About

If you have a question, send me e-mail. Senior AI Researcher with over 20 years of experience in machine learning theory and implementation. Currently leading AI Research at Cloudflare. Co-Founder of SimBioSys Lab, where we've recently published papers in distributed systems, storage, environmental health, machine learning / AI, and high performance computing. Please find current publications at https://scholar.google.com/citations?user=08UkfMsAAAAJ&hl=en and information about me at my webpage: http://www.cs.emory.edu/~avani/

Experience

20 yrs 10 mos
Total Experience
2 yrs 7 mos
Average Tenure
4 yrs 2 mos
Current Experience

Cloudflare

3 roles

Head of AI Research

Promoted

Jan 2025Present · 1 yr 3 mos

Research Manager: AI, Privacy, and Systems/Formal Methods

Promoted

Jan 2024Jan 2025 · 1 yr

Research Manager: North America

Feb 2022Feb 2024 · 2 yrs

  • Helping lead a team of researchers in networking, cryptography, and systems, working together to build a better Internet.

Emory university

Assistant Professor of Computer Science

Aug 2015Aug 2023 · 8 yrs

  • Studying the parallels between neural architecture and distributed computational systems.

Salk institute for biological studies

Postdoctoral Research Associate

Jul 2013Jul 2015 · 2 yrs · La Jolla, CA

  • Working to understand the dichotomy between simple and complex cells in the feline primary visual cortex by characterizing spike-train datasets through their algebraic topologies. We use Python and Matlab for data analytics and simulations.

Ibm almaden research center

Research Intern

Jun 2011Dec 2011 · 6 mos

  • Worked with a small team addressing the disk bottleneck problem in data de-duplication for primary storage by using my thesis work in data grouping. Involved analyzing traces of 100GB+ in short amounts of time as well as writing Python libraries to simulate de-duplication. This work appeared in ICDE 2013.

Sandia national laboratories: computer science research institute

Research Intern

Jun 2010Aug 2010 · 2 mos

  • Worked with Lee Ward to analyze block I/O data from a multi-use production system in order to define and identify similarity between particular data blocks. Published in SYSTOR 2011

Google

Engineering Intern

Jun 2009Sep 2009 · 3 mos

  • Implemented a PID-based control system in Python to automatically balance customers for Bigtable (a key/value store). Extensively researched reward functions and SLA/SLO management techniques and wrote out a detailed experiment plan to investigate the tradeoffs between economic and standard scheduling techniques. Worked with the Census team to expand their SLO framework to include SLAs.

Ibm

Research Intern

May 2008Aug 2008 · 3 mos

  • Worked with a team of 4 researchers to develop a highly accurate method to automatically classify log excerpts from commercially deployed storage systems to speed up problem isolation. This involved coding in Java, particularly the Lucene search engine, and Python for the backend and data-manipulation respectively. This work was published in SRDS 2009

Uc santa cruz

Graduate Research Assistant

Aug 2007Sep 2013 · 6 yrs 1 mo

  • I worked in the Storage Systems Research Center (http://www.ssrc.ucsc.edu/) focusing on probabilistic models over distributed storage systems.

Google

Engineering Intern (Summers)

May 2006Aug 2007 · 1 yr 3 mos

  • Documented Internal Build System Components using HTML/CSS and Wiki. Studied and documented Code Dependencies in Python, UNIX Shell, and C++ scripts. Used Python to implement statistical techniques including Hidden Markov Models to analyze web data.

Cenic

Systems Administrator

Jan 2003Jan 2004 · 1 yr

  • Rolled out and managed Cisco VoIP across organization, managed XServes and Cisco optical routing equipment along with NOC services including RT, Ciscoworks, and Intermapper.

Education

Harvey Mudd College

BS — Joint Computer Science / Math

Jan 1999Jan 2003

University of California, Santa Cruz

PhD — Computer Science

Jan 2007Jan 2013

The University of New Mexico

Master of Science - MS — Machine Learning

Jan 2004Jan 2007

Harvey Mudd College

Bachelor of Science - BS — Math and Computer Science

Jan 1999Jan 2003

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