Gautam Shanbhag

CTO

San Francisco, California, United States23 yrs 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in building AI infrastructure for large-scale systems.
  • Proven track record in cloud computing and distributed systems.
  • Strong leadership in managing software development teams.
Stackforce AI infers this person is a SaaS expert with a focus on AI and cloud-based solutions.

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Skills

Core Skills

Cloud ComputingDistributed SystemsSoftware Engineering

Other Skills

AI InfrastructureAgile MethodologiesAgile Project ManagementAlgorithmsAmazon EC2Amazon Web Services (AWS)AnalyticsC++Computer ScienceDesign PatternsHadoopHibernateHigh AvailabilityIaaSJava

About

Specialties: Software Design and Implementation, SOA, Cloud based Services - IAAS, Distributed systems, cloud computing, Operations Management, Coaching & Career Development for Software Engineers.

Experience

23 yrs 2 mos
Total Experience
5 yrs 9 mos
Average Tenure
11 yrs
Current Experience

Meta

Senior Director of Engineering

May 2015Present · 11 yrs · San Francisco Bay Area

  • Meta Superintelligence Labs - Building infra for MSL researchers and developers
  • AI Infra -
  • I support all the Systems, Components and Experiences for AI Training and Inference at Meta. My teams are responsible for enabling teams at Meta to quickly experiment with innovative new modeling ideas through offline, online and recurring training and inference at massive scale and freshness.
  • AI Developer Infrastructure -
  • My teams support all of the tools and experiences for developing, operating and releasing production ML models at Meta. We are responsible for improving velocity of exploration and experimentation for ML developers, allowing rapid iteration with minimal time building code
  • Monitoring & Observability -
  • My teams are responsible for several large scale distributed systems -- including our real-time monitoring platforms, analytics tooling, AI/ML investigation tools and visualization products. Some of the work from my teams:
  • Fast Analytics using Scuba - https://research.fb.com/publications/scuba-diving-into-data-at-facebook
  • High performance Time Series Storage Engine - https://code.facebook.com/posts/952820474848503/beringei-a-high-performance-time-series-storage-engine/
  • Multi-dimensional In-memory DBMS https://research.fb.com/cubrick-a-new-multidimensional-in-memory-dbms/
Distributed SystemsCloud ComputingAI InfrastructureMonitoring & Observability

Amazon web services

Sr. Manager, Software Development - Amazon Elastic Block Store (EBS)

Aug 2012Apr 2015 · 2 yrs 8 mos · Greater Seattle Area

Amazon

2 roles

Software Development Manager - AWS Platform

Promoted

Apr 2010Aug 2012 · 2 yrs 4 mos

SDE

Apr 2005Apr 2010 · 5 yrs

Esri

Software Engineer

Feb 2003Apr 2005 · 2 yrs 2 mos

Education

University of Southern California

MS — Computer Science

University of Mumbai

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