Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CEO / Founder
● Experience in managing large-scale products and globally distributed teams in data engineering, data governance, data sciences & ML operations ● Leading various Gen AI and LLM initiatives internally at Nike ● Worked with leadership on large scale ML initiatives such as ML & Feature reusability, AB Testing With Multi Arm Bandits, AI Center of Excellence (CoE), and AI Strategy ● Experience in leading enterprises through digital transformations, cloud migrations and cloud first initiatives over the past 12 years. A proven leader in Data Engineering, Data Sciences & Machine Learning (MLOps/Applied AI) ● I have a successful track record of tactical execution in fast-paced software and technology development environments. Built large-scale n-tier & distributed applications for 20 years ● Expertise in AI/ML techniques, tools, and building frameworks ● Expertise in data analysis, modeling, visualization, and reporting tools and techniques ● Experience in consumer analytics for e-commerce & omni channel retail strategies
UC Berkeley School of Information
Master of Information and Data Sciences - MIDS, Data Sciences and Machine Learning
N/A – Present
Stanford University
APM (Certification), Project Management & Strategy
N/A – Present
Oakland University
MS, Mechanical Engineering
N/A – Present
Koneru Lakshmaiah College of Engineering
Btech, Mechanical Engineering
N/A – Present
Symbolic Mind
Symbolic Mind
May 1, 2024 – Present
Greater Seattle Area · On-site
EARTH AND SPACE RESEARCH
Strategic Advisor
April 1, 2024 – Present
Seattle, Washington, United States · Remote
Nike
Global Director, Consumer Data Science (Product Creation & Merchandising)
January 1, 2023 – May 1, 2024
Greater Seattle Area · Remote
Aerobotics7
Board Member
June 1, 2022 – Present
Greater Seattle Area · Remote
Nike
Director, Enterprise AI ML Reusable Products & Services (Data Pipelines, Feature Store, Model Zoo)
May 1, 2021 – April 1, 2023
Greater Seattle Area · Remote
Women in Voice
Strategic Advisor
July 1, 2020 – July 1, 2022
Unify Consulting
Director, Data Science & Machine Learning
August 1, 2019 – April 1, 2021
Greater Seattle Area
BSQUARE
Sr. Director of Product Innovation (Machine Learning, Internet of Things & Architecture)
November 1, 2017 – June 1, 2019
Greater Seattle Area
Freedom Mortgage
Vice President of Engineering/Technology
July 1, 2015 – June 1, 2016
Greater Seattle Area
OfferBoard (Acquired by Entoro Capital Group)
CTO
January 1, 2013 – July 1, 2015
Seattle/Greater New York City Area
LIVESTAGE° and Telvetto
CTO
January 1, 2011 – May 1, 2013
Greater
Rovi
Director, Mobile/Social Platform Product Management
July 1, 2010 – January 1, 2011
Rovi
Director, Mobile Product Development
September 1, 2009 – January 1, 2011
Rovi
Director, Mobile Solution Sales and Professional Services
May 1, 2008 – January 1, 2011
Rovi
Director, Mobile Product Management, Operations & Operator Relations
August 1, 2006 – January 1, 2011
Rovi
Director, Mobile Entertainment
January 1, 2006 – January 1, 2011
ABI Research, Inc
Director of Broadband, Digital Home and Digital Media
December 1, 2002 – August 1, 2006
Competent Boards Climate Change Designation Program
Competent Boards
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across large corporations (Nike, Rovi), startups (OfferBoard, LIVESTAGE), and advisory roles (Aerobotics7, Women in Voice) suggests adaptability and a broad perspective. Their involvement in AI-for-good initiatives (Aerobotics7) and leadership in establishing centers of excellence indicates a proactive and impactful approach, which generally aligns well with innovative and mission-driven cultures. The breadth of skills and industries covered points to a strong capacity for learning and integrating into various organizational environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, cross-functional collaboration, and strategic thinking through their various director and advisor roles. Their experience in building and scaling data science teams, driving product adoption, and managing P&L indicates a high level of operational fit for senior leadership within an ML engineering context. The descriptions suggest an ability to influence without authority and foster organizational development.