Venkatesh Sreenivas

Principal Engineer, AWS Bedrock | Enterprise Model Customization, Fine-Tuning & Cost-Efficient GenAI at Scale

Role
Principal Engineer at Amazon Web Services (AWS)
Location
Palo Alto, CA, US
LinkedIn followers
500 followers

About Venkatesh Sreenivas

Small AI-powered teams. Big enterprise impact. Smarter, faster software.I help engineering teams leverage AI-accelerated workflows to build and evolve complex enterprise systems at scale. Currently driving enterprise model customization in AWS Bedrock — including fine-tuning, distillation, and evaluation — with a focus on cost-efficient, on-demand hosting.I’ve delivered differential privacy clean rooms, enabling secure collaboration on sensitive data while unlocking actionable business insights. Previously, I launched Tier-1 AWS services Personalize and Forecast, scaling to millions of customer requests, and led billion-customer-scale initiatives.With 20+ years in computer science, I specialize in distributed systems, scalable architectures, AI/ML pipelines, privacy-enhanced analytics, and full-stack development — bringing innovation that drives business impact at scale.Passionate About:AI/ML & enterprise ML pipelinesPrivacy-first solutions & differential privacyData unification and privacy-enhanced analyticsCost-efficient fine-tuning and hosting in AWS BedrockPersonalization & recommendation systems at scaleBig-data analytics, ETL, and distributed fault-tolerant systemsFull-stack development (Java, Kotlin, Python, Scala)

Experience

  1. Principal Engineer

    Amazon Web Services (AWS)

    Apr 2023 — Present · San Francisco, CA, US

    Accelerating how enterprises build and adapt complex systems using AI-assisted development. Leading model customization in AWS Bedrock — fine-tuning, distillation, and evaluation — with a focus on scalable, cost-efficient, on-demand hosting

Education

  • Indira Gandhi National Open University

    Master of Business Administration - MBA, Operations Research

    2015 — 2019

  • BE - BMS College of Engeneering

    B.E, Computer Science

    2002 — 2005

Skills

  • Cloud Computing
  • Jsp
  • Unix
  • Hibernate
  • Agile Methodologies
  • Spring Framework
  • Data Analysis
  • Redux
  • Soa
  • Javascript
  • Jdbc
  • Distributed Systems
  • Java Database Connectivity (Jdbc)
  • Ant
  • Xml
  • Big Data
  • Struts
  • Etl Tools
  • Java
  • Android Development
  • Web Services
  • Distributed Caching
  • Amazon Web Services (Aws)
  • Spring
  • Hbase
  • Hadoop
  • React.js
  • Servlets

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