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Founder and CEO at Resolve AI 🤖
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Building Resolve AI to put AI on-call for humans, not the other way around. Started Log Insight (acquired by VMware) and Omnition (acquired by Splunk) and helped start OpenTelemetry. Most recently SVP and GM of the Observability business at Splunk.
University of Illinois Urbana-Champaign
MS, PhD drop-out, Computer Science
January 1, 2004 – January 1, 2007
University of Macedonia
B.S., Computer Science
January 1, 2000 – January 1, 2004
Resolve AI
Founder and CEO
February 1, 2024 – Present
San Francisco, California, United States · On-site
Splunk
SVP, General Manager, Observability, ITOps
February 1, 2022 – October 1, 2023
Splunk
VP, Product Management, Observability & IT Ops
September 1, 2019 – February 1, 2022
Omnition
Founder and CEO
April 1, 2018 – September 1, 2019
San Francisco Bay Area
ezhome
Founder and CEO
March 1, 2015 – September 1, 2017
San Francisco Bay Area
VMware
Director of R&D
August 1, 2012 – February 1, 2015
Palo Alto, CA
Pattern Insight
Founder and CEO
July 1, 2007 – July 1, 2012
Mountain View, CA
Engineering Intern
January 1, 2005 – January 1, 2005
Cultural Fit Analysis
The candidate's extensive experience as a founder and senior leader suggests a preference for high-impact, autonomous roles. While their background is strong in leadership and product, direct hands-on Big Data engineering experience is not explicitly detailed in recent roles. Their entrepreneurial spirit could be a strong asset in a dynamic environment, but alignment with a purely individual contributor Big Data Engineer role might require further assessment of their current technical depth and desire for hands-on implementation.
Soft Skills & Operational Fit
The candidate demonstrates strong entrepreneurial drive, strategic leadership, and the ability to build and scale technical teams and products. Their experience as a CEO and GM indicates excellent communication, decision-making, and business acumen. The focus on AI agents for production troubleshooting suggests a proactive and innovative approach to problem-solving.