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NEXT AI @ Microsoft and Investor
Executive and entrepreneur (Microsoft, Splunk, Oracle, Cisco, eBay) building several innovative cloud and AI-based services (SaaS, PaaS) from zero to over $1B+ in revenue and market dominance. I specialize in founding and leading geo-distributed, multi-disciplinary organizations. These organizations encompass data science, applied machine learning and artificial intelligence, full stack development, devops, and product management which are noted for their high élan, attracting talent, and execution prowess. I have experience in founding new ventures, acting as a board member, fund raising, and being an advisor to SaaS, IoT, and AI/ML startups. Products Shipped (Recently): Microsoft Sentinel Platform MCP Service AI Search (2025) Microsoft Security Copilot Autotune for AI Agents (2025) Microsoft AI Foundry Observability Platform (2025) Microsoft Security Copilot (2024) Splunk Edge Hub (IoT Device and AI Cloud Service) (2023) Splunk ML Toolkit 5.4 with ONNX Model Extensibility (2023) Splunk ITSI Adaptive Thresholding Assistant (2023) Splunk Anomaly Detection Assistant (2023) Splunk AI Assistant for SPL (2023) Splunk Search Assistant (2023) Splunk Smart Alerts Assistant (2022) eBay Product Catalog and Service (SaaS, 2019) eBay Marketplace Pricing Recommendation (SaaS, 2019) eBay DCPLive Competitive Product Insights (SaaS, 2019) eBay Promoted Listings for 1P Advertising (SaaS, 2018) eBay Fraud Detection Service (SaaS, 2018) eBay Predictive Delivery Analytics Service (SaaS, 2018) Oracle Data Catalog Service (DataflowML) (SaaS, 2016) Oracle Big Data Preparation Cloud Service (SaaS, 2015) Azure HDInsight Hadoop as an Elastic Service (PaaS, 2012) Microsoft SQL Server Semantic Engine (2012) Windows AppFabric Caching Service (PaaS, 2010) Microsoft Solver Foundation (2009) Microsoft Biztalk Business Rule Engine (2003)
Santa Clara University
Bachelor's Degree (Cum Laude)
N/A – Present
Bellarmine College Preparatory
High School Diploma
N/A – Present
The Harker School
Jr. High School Diploma
N/A – Present
Microsoft
Vice President (NEXT AI R&D)
November 1, 2023 – Present
Providence, Rhode Island, United States · Remote
Splunk
Managing Director of Gen AI/ML
January 1, 2020 – November 1, 2023
Providence, Rhode Island, United States
eBay
Vice President (Machine Learning and Engineering)
January 1, 2018 – December 1, 2019
San Francisco Bay Area
Cisco
Vice President and CTO (Machine Learning and Engineering)
June 1, 2016 – January 1, 2018
San Jose, CA
Oracle
Vice President and CTO (Machine Learning and Engineering)
June 1, 2013 – June 1, 2016
Redwood Shores, CA
Adaptive Insight LLC
Managing Director and Founder
January 1, 2013 – Present
Providence, Rhode Island, United States
MAANA
Founder, Board Member, and Chief Scientist
January 1, 2013 – June 1, 2013
Palo Alto, California
Anaconda, Inc.
CTO and Advisor
January 1, 2013 – January 1, 2013
Providence, Rhode Island, United States
Microsoft
General Manager and Partner
December 1, 1995 – December 1, 2012
Redmond, WA and Los Gatos, CA
Cultural Fit Analysis
The candidate's career trajectory shows a strong entrepreneurial spirit, having founded multiple initiatives and advised numerous startups. Their experience across various large enterprises (Microsoft, Splunk, eBay, Cisco, Oracle) and advisory roles demonstrates adaptability and a broad understanding of different organizational cultures. The focus on innovation and building new products aligns well with a dynamic, forward-thinking culture. The target role of 'Big Data Engineer' is a strong technical match, though the candidate's experience is at a much higher leadership and strategic level, which might indicate a potential mismatch in day-to-day responsibilities if the role is purely IC-focused. However, their deep technical background in Big Data and AI/ML makes them a strong technical contributor.
Soft Skills & Operational Fit
The candidate's extensive leadership roles and descriptions of founding and leading new initiatives suggest strong leadership, strategic thinking, innovation, and team management skills. Their advisory roles indicate strong communication and influence. The focus on product delivery and business impact demonstrates a results-oriented approach. The candidate's experience in building and scaling AI/ML platforms suggests a strong operational fit for complex engineering challenges.