
Director, Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Advanced R&D Manager with a demonstrated history of working in artificial intelligence and data science; and building machine learning systems and solutions
Sri Venkateswara College of Engineering
B. Tech, Information Technology
January 1, 2003 – January 1, 2007
Agarwal Vidalaya
Science
January 1, 2003 – Present
Adobe
Director
July 1, 2024 – Present
Adobe
Senior Manager, AI/ML Platform & Solutions
January 1, 2017 – Present
Adobe
Manager, Data Science Solutions & Advanced Projects
January 1, 2016 – December 1, 2016
Adobe
Engineering Manager, Algorithms & MMX
January 1, 2015 – December 1, 2015
Adobe
Engineering Manager, Algorithms
January 1, 2012 – December 1, 2014
Efficient Frontier
Lead Engineer, Algorithms
January 1, 2011 – December 1, 2011
Greater Chennai Area
Efficient Frontier
Algorithm Engineer
June 1, 2007 – December 1, 2010
Greater Chennai Area
Cultural Fit Analysis
The candidate has a long tenure at Adobe, demonstrating loyalty and adaptability within a large corporate environment. Their experience spans various roles within data science, AI/ML, and algorithms, indicating a capacity for continuous learning and growth. However, the candidate's experience is heavily concentrated in AI/ML and algorithm engineering, which is a significant deviation from a pure Data Analyst role. While data analysis is a component of their past roles, the primary focus has been on advanced modeling and platform development, which might not align perfectly with a typical Data Analyst profile that often emphasizes reporting, dashboarding, and business intelligence.
Soft Skills & Operational Fit
The candidate's career progression from Algorithm Engineer to Director at Adobe, including managing R&D teams, suggests strong leadership, strategic thinking, and operational management skills. The descriptions highlight collaboration with product management and engineering groups, indicating good teamwork and communication. However, specific soft skill assessments are not available.