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Data + AI Infrastructure | MultiCloud
I am a principal cloud and AI infrastructure leader with 16+ years of experience architecting scalable, secure, and cost-optimized data platforms across AWS and GCP. With a generalist mindset and a proven track record of execution, I specialize in unifying infrastructure, MLOps, and data science to enable high-performance computing and real-time analytics at petabyte scale. My career has been defined by repeatedly taking ideas from zero to one, products concept to launch, translating complexity into resilient, production-grade platforms. At Netskope, I shaped the cloud architecture and SRE strategy across four product lines, driving automation that cut incident volume, reduced on-call fatigue, and accelerated deployment velocity. In this role, I served as the right hand to senior engineering leadership influenced the company’s GCP adoption strategy, designed scalable cloud-native data infrastructure leveraging Kafka and ClickHouse, and delivered systems capable of processing terabytes of data per day. Previously at Bayer(Monsanto), architected Location360 from ground up creating a multi-cloud(AWS, GCP) platform that still processes billions of spatial records globally, supporting precision agriculture and climate modeling at multi-petabyte scale. At Xlabs, I headed the data engineering and analytics practice, leading large-scale transformation initiatives for global clients. In this role, I managed both first-line teams (direct reports) and second-line managers, balancing strategic direction with execution oversight. Earlier in my career at Ericsson, I tackled massive telecom data challenges, building reliable systems for high-volume network analytics. I catalyze innovation at the intersection of technology and people driving open-source collaboration and igniting systems that balance governance, cost efficiency, and scale. My experience spans SaaS security,
University of California, Berkeley, Haas School of Business
Certificate of Excellence in Technology Strategy, Executive Education
January 1, 2023 – June 1, 2024
Indian Institute of Technology, Madras
Btech, Computer Science and Engineering
January 1, 2005 – January 1, 2009
Oracle
Principal Architect, MultiCloud@OCI
February 1, 2026 – Present
Santa Clara, California, United States · Hybrid
Netskope
Senior Staff, Cloud | SRE
November 1, 2021 – January 1, 2026
Santa Clara, California, United States · Hybrid
Bayer
Research Data Scientist, Data Platform (expert) - Location360
April 1, 2016 – November 1, 2021
St Louis, Missouri, United States · Hybrid
Xtream
Lead Architect, Head of Data Science
January 1, 2012 – January 1, 2016
Albany, New York, United States and Hyderabad, India · On-site
Ericsson
Senior Software Engineer - Analytics Suite
January 1, 2009 – January 1, 2012
Chennai, Tamil Nadu, India · On-site
Ericsson R & D
Summer Research Intern
May 1, 2008 – July 1, 2008
Chennai, Tamil Nadu, India · On-site
Xilinx R&D
Summer Research Intern
May 1, 2007 – June 1, 2007
Hyderabad, Telangana, India · On-site
Google cloud digital leader
June 24, 2026 – Present
Business Analytics for Leaders: From Data to Decisions
University of California, Berkeley, Haas School of Business
June 24, 2026 – Present
Berkeley Chief Technology Officer Program
UC Berkeley Executive Education
June 24, 2026 – Present
Future of Technology: Trends, Strategies, and Innovation Opportunities
University of California, Berkeley, Haas School of Business
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple companies (Oracle, Netskope, Bayer, Xtream, Ericsson) and roles (Architect, SRE, Data Scientist, Head of Data Science) demonstrates adaptability and a broad skill set. Their involvement in open-source initiatives and continuous learning (Berkeley certifications) indicates a growth mindset. The leadership roles and team-building experience suggest a collaborative and influential presence, aligning well with a culture that values innovation and mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, mentorship, and cross-functional coordination skills. Experience in fostering innovation, driving productivity, and managing complex projects suggests a good operational fit. The descriptions indicate a proactive approach to problem-solving and a focus on minimizing incidents and optimizing costs.