Ratul Ray

VP of Engineering

Santa Clara, California, United States12 yrs 4 mos experience
Highly StableAI Enabled

Key Highlights

  • Over a decade of experience in applied ML.
  • Led ML solutions for 2B+ users at Instagram.
  • Architected ML solutions for Roku Search.
Stackforce AI infers this person is a B2C Machine Learning Architect with extensive experience in user-centric AI solutions.

Contact

Skills

Core Skills

Large Language Models (llm)Agentic AiNatural Language Processing (nlp)Deep LearningTechnical LeadershipApplied Machine Learning

Other Skills

AccountabilityAlgorithm DesignAmazon Web Services (AWS)Apache SparkBuilding TrustC++CommunicationConflict ManagementConversational AICross-functional Team LeadershipDifficult SituationsGame TheoryHiringJavaKnowledge Graphs

About

Engineering leader with over a decade of experience of leading applied ML efforts that can transform consumer products. I'm passionate about building user-centric products at scale and empowering my teams to push the frontiers of ML in the domain of search, recommendation and ads.

Experience

12 yrs 4 mos
Total Experience
3 yrs 11 mos
Average Tenure
7 mos
Current Experience

Servicenow

Senior Engineering Manager, AI

Oct 2025Present · 7 mos

  • Conversational AI
Conversational AI

Meta

Engineering Manager

Jan 2024Sep 2025 · 1 yr 8 mos · San Francisco Bay Area

  • Leading the effort of developing Agentic AI platform and a suit of autonomous agents to perform ML engineering tasks leveraging a mix of proprietary and open source LLMs and frameworks to redefine ML development across orgs.
  • 2024: Led the Ranking and Retrieval teams building the ML solutions behind Friend Recommendation for Instagram which serves 2B+ users. We developed SOTA models to leverage the follow graph and deeply understand user behaviors and preferences to estimate retentive value of social connections.
Large Language Models (LLM)Agentic AIMulti-agent SystemsSFTCross-functional Team Leadership

Roku inc.

2 roles

Senior Engineering Manager, Machine Learning

Promoted

Jul 2021Jan 2024 · 2 yrs 6 mos · San Francisco Bay Area

  • I supported the ML team responsible for Search Ranking and Search Discovery (home-feed), where responsibilities spanned data acquisition, pipelines, modeling, inference, MLOps while partnering with product management to define and shape the strategy.
  • We built and owned end-to-end ML solutions to take content-search on TV to SOTA level in terms of ranking, relevance, personalization and revenue optimization.
  • Our work consisted of various applications of Multi-modal query & content understanding, Neural ranking, Transformers, Multi-task learning, NLP, Whole-page optimization among a few.
  • Patents filed by my team:
  • https://patents.justia.com/patent/20250036638
  • https://patents.justia.com/patent/20240378213
  • https://patents.justia.com/patent/20240430538
Deep LearningKnowledge GraphsNatural Language Processing (NLP)Strategic PlanningCross-functional Team LeadershipRetrieval-Augmented Generation (RAG)+1

ML Architect, Tech Lead

Apr 2019Jun 2021 · 2 yrs 2 mos · San Francisco Bay Area

  • I architected several 0-to-1 ML solutions for Roku Search to make search ML-powered from ground up.
  • Owned the full ML lifecycle from data to modeling to defining new metrics. Led efforts to set standards and best practices org wide ML platform which enabled ML acceleration.
Technical LeadershipAmazon Web Services (AWS)Applied Machine LearningHiringNatural Language Processing (NLP)Apache Spark+1

Google

3 roles

Tech Lead/Senior Software Engineer

Promoted

Dec 2016Mar 2019 · 2 yrs 3 mos

  • Building large scale machine learning systems for app ads user targeting using Deep Neural Net & embedding. This work has opened up a new monetization avenue for app publishers by optimizing their ads.
  • Previously Tech-lead of AdWords Growth team, driving optimization of Advertiser Platform for search ads which has lead to launches adding +$80M revenue.

Software Engineer

Nov 2012Jan 2016 · 3 yrs 2 mos · San Francisco Bay Area

  • Worked in the AdWords team to execute data-driven design of the Advertiser Platform. Designed and implemented several module; performed statistical analysis to measure the impact of the
  • experiments on product metrics.
  • Previously in Google Research:
  • Mining terabytes of data in logs to convert them into "stories" that provides business insight.
  • Developing end-to-end tools for analyzing and better understanding of markets and revenue.
  • Analyzing time-series data and developing fast and distributed algorithm.

Software Engineering Intern

May 2011Jul 2011 · 2 mos

Education

Indian Institute of Science (IISc)

Master of Engineering (M.Eng.) — Computer Science & Automation

Jan 2010Jan 2012

Jadavpur University

Bachelor of Engineering (B.E.) — computer science

Jan 2006Jan 2010

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