Shyam Srinivas

About Shyam Srinivas

Engineering Leader | Ads Infrastructure, Campaign Management & Martech | Global Monetization (PG/PMP/IO)| CRM Growth Platforms

Experience

1. Engineering Leadership (Ads)

   Roku

   Oct 2016 — Present

   AdTech (Current)Currently leading engineering teams for Roku’s Ads Order Management platform, which unifies campaign management, creative workflows, audience segmentation, ad supply inventory, monetization, and invoicing. The platform aggregates measurement data to support both Direct IO and Programmatic ad campaigns across U.S. and international markets. Actively exploring Generative AI applications in AdTech, leveraging GenAI to reimagine campaign planning, optimization, and operational workflows.Prior to this, I have led multiple teams across applications spanning Ads Data Management Platforms (DMPs), data cleanrooms, inventory forecasting systems, and supply and measurement metadata management enabling data-driven decisioning and scalable ad delivery.Growth EngineeringPreviously led the build-out of Roku’s MarTech and Growth Engineering stack, enabling targeted offer issuance to millions of users globally, spanning Roku hardware device promotions and SVOD subscription offers. This ecosystem integrated billing and invoicing, campaign and creative management, targeting, and reporting workflows to deliver personalized, measurable user engagement at scale.Additionally contributed to several key platform areas including billing and payment infrastructure, account creation and linking, experimentation frameworks, SVOD subscription onboarding, and marketing automation workflows, aligning engineering innovation with Roku’s business growth and customer experience goals.

Education

• North Carolina State University

  MS, Computer Engineering

  2010 — 2011

• University of California, Berkeley, Haas School of Business

  Master of Business Administration - MBA

Skills

• Java Enterprise Edition
• Mpi
• Mahout
• Java
• Operating Systems
• Apache
• Git
• Lucene
• Ejb
• Node
• Weka
• Data Mining
• Nodejs
• Cloud Computing
• Machine Learning
• Vue.js
• Spring
• Hbase
• C
• Genetic Algorithms
• Python
• Mapreduce
• J2ee
• C++
• Pl/Sql
• Data Structures
• Html
• Subversion
• Mysql
• Distributed Systems
• Websphere
• Spring Framework
• Jmx
• Scalability
• Hadoop
• React.js
• Sql
• Linux
• Hibernate
• Html + Css