Dec 2022 – Oct 2025 · 2 yrs 10 mos · San Francisco Bay Area

• Led product for data and 'AI asset collaboration' consisting of two product lines - Delta Sharing and Databricks Marketplace. Started off as an IC and eventually became a hybrid IC + people manager.
• Data and AI Summit talks:
• [2025] Delta Sharing in Action - Architecture and Best Practices: https://www.youtube.com/watch?v=VoO9nzPYEt8
• [2025] SAP + Databricks integration powered by Delta Sharing: https://www.youtube.com/watch?v=6KdUcI6Ayuk
• [2024] Announcing Databricks Clean Rooms + live demo at the keynote: https://www.youtube.com/watch?v=iLVK2CyWwzY&t=18s&pp=ygUSZGFyc2hhbmEgc2l2YWt1bWFy
• [2024] Unlocking new AI use case with sharing: https://www.youtube.com/watch?v=INwGjrAzLTY
• [2023] Databricks Marketplace - going beyond data and applications: https://www.youtube.com/watch?v=d11QcTaqHE4&t=1264s&pp=ygUSZGFyc2hhbmEgc2l2YWt1bWFy
• Select blog posts:
• 1) https://www.databricks.com/blog/whats-new-data-sharing-and-collaboration-summer-2025
• 2) https://www.databricks.com/blog/announcing-oidc-token-federation-enhanced-delta-sharing-security
• 3) https://www.databricks.com/blog/announcing-public-preview-cross-platform-view-sharing
• 4) https://www.databricks.com/blog/databricks-marketplace-welcomes-47-new-data-providers-q2-2024
• 5) https://www.databricks.com/blog/whats-new-data-sharing-and-collaboration
• 6) https://www.databricks.com/blog/unlocking-potential-private-data-sharing-using-databricks-private-exchanges
• 7) https://www.databricks.com/blog/introducing-ai-model-sharing-databricks
• 8) https://www.databricks.com/blog/accelerate-your-ai-journey-pre-built-industry-solutions-databricks-marketplace
• 9) https://www.databricks.com/blog/announcing-public-preview-databricks-marketplace

Apr 2022 – Dec 2022 · 8 mos

• Vault "workflows and experiences" product lead. I led a team of rockstar PMs focusing on product-led growth, developer experience and new value add hybrid capabilities (eg. Vault Insights) for Vault (self-managed and cloud).

May 2021 – Mar 2022 · 10 mos

• Operator workflow experiences
• 2022 Principle Award Winner - "humility" (1 out of 9 selected in the company)
• PM liaison for multiple customers.
• Defined requirements for multiple needle-moving capabilities for Vault binary releases (Vault Diagnose, Insights, client count / billing tools, etc.)
• Delivered many roadmap / EBC sessions

Jul 2019 – Apr 2021 · 1 yr 9 mos

• ML + intelligence + analytics + core platform + security
• PM lead for the Vault Intelligence workstream (Vault Advisor (intelligence-based policy recommender), Splunk app for monitoring Vault, new usage metrics to understand how Vault is doing from a security perspective, etc.)
• PM lead for the Vault core platform (core workflow maturity: performance, integrated storage, UI, replication, multi-tenancy, etc.)
• Wrote multiple PRDs, worked closely with engineering/design to deliver features, helped with GTM effort (CS enablement, internal knowledge transfers, blogs, webinars, etc.). Curated a brand new 'knowledge share' CS/sales enablement process for internal stakeholders
• Represented HashiCorp at various events as a speaker (Starbucks SIX Conference, Splunk DevOps Open Source Insights and Innovations event: https://events.splunk.com/OpenSource22072020?elqTrack=true). Appeared on an episode of HashiCast (HashiCorp's podcast).

Aug 2017 – Jul 2019 · 1 yr 11 mos

• PM for the externalization effort for "Machine Learning University" (https://aws.amazon.com/blogs/machine-learning/amazons-own-machine-learning-university-now-available-to-all-developers/). Very passionate about machine learning education.
• Launched the AWS DeepLens console (at re:Invent 2017). AWS DeepLens is the world’s first deep learning enabled video camera for developers.
• Wrote PRFAQs for 2 confidential initiatives; worked with user research to gather customer use cases; worked with design and engineering to define product specifications
• Performed market sizing (estimation) for a confidential new initiative
• Led machine learning community initiatives internal to Amazon: organized a company wide AWS DeepLens hackathon than spanned several months and resulted in the creation of 40+ new machine learning use cases for AWS DeepLens

Feb 2016 – Aug 2017 · 1 yr 6 mos

• First product hire on the big data/analytics/AI consoles team. Owned consoles for several AWS services totaling billions of dollars in revenue. Product consoles owned: Amazon RDS, Amazon Athena (serverless interactive query service), AWS Glue (ETL as a service), Amazon Redshift (data warehouse)and Amazon EMR (managed cluster platform):
• Defined the entire product management process for the team (now owner of 20+ service consoles across AWS).
• Owner for the AWS Glue Console that was launched at New York Summit 2017. Drove requirements for several "intelligent" features including schema matching, notebook instances, and crawler definition.
• Owner for the Amazon Athena console. Launched the console from scratch.
• Owner for the Amazon Redshift console. Launched several new features including "query monitoring rules". Initiated requirements-definition for console redesign.
• Owner for the EMR console. Launched several new features.
• Lots of additional PM stuff: Wrote PRFAQs for a few confidential new initiatives related to big data. Led several user research studies. Led CAB (Customer Advisory Board) sessions. Developed tutorials for AWS Glue. Worked with marketing for go-to market strategy for launches. Worked with documentation on delivering great tutorials for customers.

Aug 2015 – Dec 2015 · 4 mos · San Francisco Bay Area

• Worked on IBM Bluemix - the digital innovation platform that helps developers rapidly build, manage and run web and mobile applications. Formulated an effective plan that will
• Encourage conversion of registrations to activations, activations to free trial accounts, and free trial accounts to Pay-Go accounts
• In turn, increase revenue for IBM Cloud.

Jun 2015 – Aug 2015 · 2 mos · Palo Alto

• Worked on Groupon To Go - https://www.groupon.com/togo, Groupon's new delivery and takeout service.
• Performed competitive and user experience analysis of competitor products.
• Defined, designed and helped implement new features - SMS notifications, live chat for customer support, persistent cart and product feedback surveys.
• Prioritized features for launch of version 2.
• Quality assurance and verification of fixed bugs.

Jun 2013 – Jul 2014 · 1 yr 1 mo · Bangalore

• Worked on the Client Commission Management - sales/equities technology team.
• Improved efficiency of operations users by streamlining day-to-day processes done by them.
• Closely shadowed operations users and supported various requests given by them and Relationship Managers.
• Worked with SQL, Java, Shell and Perl.

Jan 2013 – May 2013 · 4 mos · Bangalore

• Worked on the Client Commission Management - sales/equities technology team.
• Revamped home page of Client Commission Management on Goldman 360 client portal, as per client requests.
• Developed tools on internal CCM portal.
• Worked with Apache Struts Framework, Ext Javascript, SQL, Java

May 2011 – Nov 2011 · 6 mos · Bangalore

• Worked on the Client Commission Management - sales/equities technology team.
• Developed reporting tools on internal portal that immensely helped reduce manual effort of Relationship Managers
• Was responsible for the end-to-end management of a project on the Client Commission Management portal and coordination with Relationship Managers in New York and teammates in Bangalore.
• Worked with Apache Struts Framework, Java, SQL