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Vice President, SW Engineering, CTO @ lima.ai | Big Data Technologies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The University of Texas at Dallas
MS, computer science
January 1, 2000 – January 1, 2002
Indian Institute of Technology, Madras
BTECH
January 1, 1994 – January 1, 1998
Little Flower High School
High School
January 1, 1981 – January 1, 1992
lima.ai
Vice President, SW Engineering, CTO
December 1, 2021 – Present
Hyderabad, Telangana, India
Aline Consulting Oy
Director, Software Engineering, Architect
December 1, 2017 – December 1, 2021
Hyderabad Area, India
INEDA SYSTEMS (acquired by Intel)
Director, Software Engineering
January 1, 2015 – December 1, 2017
Hyderabad Area, India
LG Electronics
Software Architect
May 1, 2013 – December 1, 2014
San Francisco Bay Area
Texas Instruments
Program Manager
July 1, 2006 – April 1, 2013
Texas Instruments
Software Architect
January 1, 2001 – June 1, 2006
Cultural Fit Analysis
The candidate has a diverse background spanning large corporations (LG, Texas Instruments, Intel via acquisition) and startups (lima.ai, Aline Consulting). Their experience in developing innovative products and leading engineering teams suggests an adaptable and growth-oriented mindset. However, the recent focus on Big Data and Supply Chain might require a re-alignment to the Android Developer target role, indicating a potential gap in recent hands-on Android development. The lack of specific project details makes it difficult to fully assess cultural fit beyond general leadership and technical acumen.
Soft Skills & Operational Fit
The candidate's extensive leadership experience (VP, Director, Program Manager) suggests strong soft skills in team management, strategic planning, and project execution. Their career progression indicates a capacity for taking on increasing responsibility and driving technical initiatives. The descriptions, while brief, imply a focus on product innovation and big data solutions, which aligns with a proactive and problem-solving operational fit.