Ravi Sharma

CEO

San Francisco, California, United States14 yrs 3 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in data governance and AI initiatives.
  • Proven track record in building scalable data platforms.
  • Strong leadership in enhancing data privacy and compliance.
Stackforce AI infers this person is a SaaS expert with strong capabilities in data governance and AI compliance.

Contact

Skills

Core Skills

Data GovernanceAi GovernanceData ManagementCompliance ManagementData PrivacyData Platform ManagementData EngineeringUser ExperienceData Platform EngineeringTeam LeadershipBig Data EngineeringSoftware Engineering

Other Skills

AI initiativesCassandraHadoopML governanceSOLRanalytical toolsasset managementbig data servicescloud migrationcompliancecompliance reportingdata administrationdata catalogingdata governance frameworksdata integrity

About

As the Head of Data and AI Governance at Apple, I'm dedicated to establishing robust data governance frameworks and overseeing AI initiatives to ensure data integrity, security, and compliance across the organization. My mission is to create scalable, reliable data solutions that drive innovation and uphold Apple's commitment to privacy and user trust. Before this role, I was the Head of Data Platform Experience at Apple Cloud Services, where I focused on making our platforms more accessible and leveraging the best tools to help our customers make swift, data-driven decisions. My journey also includes building a strong data platform at Lyft, where I honed my skills in cloud migration and administration. Throughout my career, I've worked closely with cross-functional teams to develop large-scale data frameworks and governance platforms that reflect our dedication to excellence and inclusivity. I believe in the power of coaching and mentoring to cultivate a culture of innovation and help team members reach their full potential. My leadership is driven by a clear goal: to enhance customer satisfaction and deliver business value through cutting-edge data solutions.

Experience

Apple

2 roles

Head of Data & AI Governance

Promoted

May 2024Present · 1 yr 10 mos · Cupertino, California, United States

  • As Apple’s Head of Data and AI Governance & Strategy, my focus is on building strong governance frameworks and driving responsible AI practices across the organization. Our mission is to ensure data integrity, security, and compliance company-wide.
  • In our org, we’re offerring several key products that support this mission:
  • Company-Wide Registry and Inventory Systems: These systems play a critical role in transforming data and models into valuable assets by centralizing and standardizing asset management across Apple.
  • Compliance Reporting Interface: We’re establishing a unified reporting platform that clarifies various data privacy regulations, providing a clear, consistent approach to compliance.
  • Privacy as a Service: This platform offers powerful tools like data obfuscation, deletion, and masking at multiple granularities, allowing data sources across the company to integrate seamlessly to uphold user rights and meet compliance standards.
  • Approval Terms/Legal Holds/Legal Terms of Usage: Ensuring that all data and models use complies with legal requirements and aligns with Apple’s commitment to user trust.
  • Data and ML Lineage: Building systems that track the lifecycle of data and ML models, ensuring transparency and traceability.
  • Privacy Aware Access Control and Authorization Services: Providing robust security and access management to protect data across all systems.
  • ML and AI Governance: Setting and enforcing guidelines to govern the ethical and compliant use of machine learning and AI across Apple.
  • Each of these areas is integral to our mission of transforming data and models into true assets that support Apple’s innovation while upholding the highest standards of privacy and compliance.
data governance frameworksAI initiativesdata integritysecuritycompliancedata obfuscation+4

Head of Data Platform Experience - Apple Cloud Services

Dec 2020May 2024 · 3 yrs 5 mos · Cupertino, California, United States

  • I lead the Data Platform Experience organization at Apple Cloud Services. Our mission was to make the platform as accessible and effective as possible for our customers, enabling them to move quickly and leverage data to drive business outcomes. We focused on using the best tools and approaches to deliver services that provide real value.
  • In this role, my organization has delivered several key company-wide initiatives:
  • Enterprise-wide Catalog System: We built Apple’s largest catalog system, streamlining data management and governance practices, and scaling it to support hundreds of data warehouses across the company.
  • Notebooks as a Service: We introduced and scaled notebooks as a service, empowering thousands of internal data engineers, data scientists, and other users with robust, flexible analytical tools.
  • Unified Data Platform Interface: We created the Data Platform Console, establishing a cohesive interface and user experience that defines how data platform services are presented to customers throughout Apple.
  • iCloud Privacy Modernization: We modernized and enhanced privacy protections for iCloud’s analytical store, developing a best-in-class solution from the ground up to ensure privacy and compliance.
data platform accessibilitydata-driven decisionsdata managementdata governanceprivacy protectionsData Platform Management

Lyft

Head of Engineering - Data Platform Foundation

Feb 2018Dec 2020 · 2 yrs 10 mos · San Francisco Bay Area

  • * Helping Lyft make scalable and reliable data platform.
data platform scalabilitycloud migrationdata administrationData Platform Engineering

Twitter

Engineering Manager, Infrastructure Engineering

Dec 2013Feb 2018 · 4 yrs 2 mos · San Francisco Bay Area

  • I managed a fast-growing, productive, and high-performance Twitter Storage, Messaging, and Service Diagnostics teams.
  • Front-line management of Storage (Blobstore, Cache, Graph Storage, Manhattan), Messaging (Kafka, EventBus, DistributedLog & DefferedRPC), and Observability teams.
  • Created Hiring pipeline, hired and onboarded engineers of varying levels.
  • 80% of engineers were promoted to the next level within 12 months.
  • Built the Hiring Process for the team, which all groups later adopted in Infrastructure org.
team managementhiring processesperformance managementTeam Leadership

Qualcomm

Senior Software Engineer

Jan 2013Jan 2013 · 0 mo · San Diego

  • Search and Big Data platform services
  • Cassandra / Hadoop / SOLR (Lucene)
big data servicesCassandraHadoopSOLRBig Data Engineering

Thermo fisher scientific

Senior Software Engineer

Jan 2011Jan 2013 · 2 yrs · Pittsburgh, PA

  • Building the infrastructure to facilitate hosting of e-commerce and non-e-commerce business-critical web & mobile applications.
e-commerce infrastructureweb applicationsmobile applicationsSoftware Engineering

Education

Guru Gobind Singh Indraprastha University

Engineer's Degree — Information Technology

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