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VP of Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Southern California
M.S., Computer Science
N/A – Present
Florida Institute of Technology
Ph.D., Machine Learning
N/A – Present
Maulana Azad National Institute of Technology
B.E., Computer Science
N/A – Present
Bill.com
VP of Engineering
May 1, 2022 – Present
Orum.io
SVP Machine Learning, Data Science & Data Engineering
January 1, 2021 – June 1, 2022
Engineering Leader
January 1, 2020 – January 1, 2021
Seattle, Washington, United States
WeWork
Vice President Of Engineering, Machine Learning
January 1, 2019 – January 1, 2020
Bellevue, Washington, United States
zulily
Head of Machine Learning, Data Science & Data Engineering
January 1, 2017 – January 1, 2019
zulily
Engineering Manager
January 1, 2016 – January 1, 2017
zulily
Lead Software Engineer
January 1, 2014 – January 1, 2016
Microsoft
Software Engineer
January 1, 2013 – January 1, 2014
Redmond, Washington, United States
Punchsquare
Co-Founder
January 1, 2011 – January 1, 2013
Nuance Communications
Principal Software Engineer
January 1, 2007 – January 1, 2013
Tegic Communications
Software Engineer
January 1, 2005 – August 1, 2007
Citicorp
Intern
January 1, 2001 – January 1, 2002
Newgen
Software Engineer
January 1, 1999 – January 1, 2000
Cultural Fit Analysis
The candidate has worked across various company sizes and stages, from startups (Punchsquare, Orum.io) to large tech giants (Facebook, Microsoft) and established companies (Bill.com, WeWork, zulily, Nuance). This diversity suggests adaptability to different organizational cultures. Their focus on Machine Learning, Data Science, and Data Engineering aligns with data-driven cultures. However, the target role of 'Backend Engineer' is a departure from their recent senior leadership and ML-specific focus. While their background is strong, the direct cultural fit for a hands-on backend engineering role, rather than a leadership or ML engineering role, needs further validation.
Soft Skills & Operational Fit
The candidate's extensive leadership roles (VP, SVP, Head of ML) indicate strong leadership, strategic thinking, and team management skills. Their experience in driving product and platform development suggests strong operational fit for roles requiring end-to-end ownership and cross-functional collaboration. The descriptions of their roles at Facebook and WeWork highlight an ability to manage complex projects and drive trust and safety initiatives, implying strong problem-solving and ethical considerations. However, the target role is 'Backend Engineer', which is a significant shift from their recent leadership-heavy, ML-focused roles. While their early career included Software Engineer roles, their recent experience is primarily strategic and managerial, which might require a re-evaluation of their hands-on coding proficiency for a pure backend engineering role.