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Sr Software Engineer at LinkedIn
Senior Software Engineer with 9 years of experience across LinkedIn, Microsoft, and Morgan Stanley, specializing in distributed systems and petabyte-scale data engineering. I focus on building resilient data platforms that directly drive business strategy and bottom-line growth. Currently at LinkedIn, I engineer massive datasets and build the underlying data architecture that powers the Go-To-Market (GTM) Pricing and Sales organizations. My priority is delivering highly reliable, actionable data for critical revenue decisions. Alongside this core work, I lead Gen AI initiatives-leveraging the Model Context Protocol (MCP) and natural language processing to create intuitive analytics and visualization tools for business users. My background is rooted in heavy data infrastructure. Previously, I managed trillion-row daily telemetry pipelines at Microsoft, and spent five years architecting foundational data platforms from the ground up at Morgan Stanley. I thrive at the intersection of complex engineering, revenue impact, and modern data ecosystems, constantly adapting to bring applied Generative AI into foundational data architecture.
Pes Institute of Technology Bangalore
BE, Information Technology
January 1, 2013 – January 1, 2017
Senior Software Engineer
October 1, 2023 – Present
Bengaluru, Karnataka, India · Hybrid
Microsoft
Software Development Engineer II
March 1, 2022 – October 1, 2023
Bengaluru, Karnataka, India
Morgan Stanley
Senior Manager
January 1, 2022 – March 1, 2022
Morgan Stanley
Manager
January 1, 2020 – January 1, 2022
Morgan Stanley
Senior Associate
January 1, 2019 – January 1, 2020
Morgan Stanley
Associate
August 1, 2017 – January 1, 2019
VMware
Intern
January 1, 2017 – June 1, 2017
Bengaluru Area, India
Distributed Cuckoo filter on Redis
January 1, 2017 – May 1, 2017
This is a Big data infrastructure project where we designed and built a cuckoo filter in distributed fashion over in memory Redis database using consistent hashing.
Cultural Fit Analysis
The candidate has experience across various large organizations, indicating adaptability. However, the project diversity is limited to one personal project, and the provided skills list is empty, making a comprehensive cultural fit assessment challenging. The rapid changes in roles at Morgan Stanley, Microsoft, and LinkedIn within short periods might warrant further inquiry.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.