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Researcher / Engineering Director, VLA E2E for Autonomous Driving
▪ 7 years of experience in director level engineering roles leading 100+ headcount global R&D teams and delivering industry leading ML based automated driving products. ▪ 17 years of experience in automated driving systems working with major automotive OEMs, suppliers and third-parties across Europe, USA and Asia (4 years in Qualcomm San Diego/Ireland, 8 years in Valeo Ireland and 5 years in TI Dallas/Bangalore). ▪ 20 years of consistent focus in computer vision and machine learning algorithms for real-world applications. ▪ Cross-functional expertise in system design, research, algorithm development, software architecture and deployment in edge and cloud products. ▪ 300+ patents filed in the area of ML for automated driving, top automotive inventor in Qualcomm and Valeo. ▪ 150+ research publications with 12,000+ citations, top cited engineer at national level in Ireland https://scholar.google.com/citations?user=z0a8rsYAAAAJ&hl=en.
Indian Institute of Science (IISc)
M.Eng in Signal Processing, Major: Computer Vision and Machine Learning
January 1, 2006 – January 1, 2008
College of Engineering, Guindy
B.Eng in Electronics and Communication
January 1, 2002 – January 1, 2006
Qualcomm
Director of Engineering
November 1, 2025 – Present
Qualcomm
Director of Engineering
October 1, 2021 – November 1, 2025
Valeo
Director level Technical Leader | Camera Perception Architect, Automated Driving
January 1, 2019 – October 1, 2021
Valeo
Camera Perception Architect, Automated Driving
July 1, 2016 – December 1, 2018
Valeo
Camera Perception Technical Lead, Automated Parking
July 1, 2013 – June 1, 2016
Texas Instruments
ADAS Algorithms Technical Lead, ADAS Business Unit
October 1, 2011 – June 1, 2013
Texas Instruments
Algorithms Engineer, ADAS Startup Team
July 1, 2008 – September 1, 2011
AOL/IISc
Part-time Researcher
June 1, 2007 – May 1, 2008
Bengaluru Area, India
Cultural Fit Analysis
The candidate's career trajectory is heavily focused on Computer Vision, Machine Learning, and embedded systems within the automotive industry. While this demonstrates deep expertise in a specific domain, the target role of 'Data Analyst' is a significant pivot. The candidate's experience is primarily in engineering leadership and algorithm development, not traditional data analysis, business intelligence, or statistical modeling typically associated with a Data Analyst role. This indicates a potential mismatch in core responsibilities and day-to-day tasks, suggesting a lower cultural fit for a pure Data Analyst position without further clarification of the role's specific technical requirements.
Soft Skills & Operational Fit
The candidate's extensive experience in leading large, distributed teams, engaging with customers and SOC vendors, and driving strategic technical initiatives suggests strong leadership, communication, and collaboration skills. Their history of promoting new technologies (Deep Learning) indicates an innovative and proactive approach, which aligns well with operational excellence. The descriptions highlight a results-oriented individual capable of managing complex projects and cross-functional teams.