Anusua (Anu) Trivedi

CTO

Kirkland, Washington, United States16 yrs 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led generative AI initiatives at Oracle Health.
  • Managed global teams in AI product development.
  • Pioneered AI for Health at Microsoft.
Stackforce AI infers this person is a Healthcare AI Leader with extensive experience in Generative AI and Data Science.

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Skills

Core Skills

Generative AiAi StrategyLeadershipCloud ComputingApplied Sciences

Other Skills

AlgorithmsArtificial IntelligenceBOTBuilding PerformanceBusiness IntelligenceCoachingCognitive APIsComputer VisionData AnalysisData ScienceDatabasesLarge Language Models (LLM)Managing ManagersNatural Language ProcessingPerformance Motivation

About

At Oracle Health, I would focus on propelling generative AI technology forward, enhancing our customer experiences across a vast number of products.

Experience

Oracle

Head of GenAI, Oracle Health HDI

Jan 2025Present · 1 yr 2 mos · Seattle, Washington, United States

  • 1. Lead the development and integration of cutting-edge generative AI solutions tailored for healthcare, driving innovation in clinical diagnostics, patient engagement, and operational efficiency.
  • 2. Lead a multidisciplinary team of AI researchers, applied scientists, and healthcare technology experts to design, deploy, and continuously improve enterprise-grade GenAI applications.
  • 3. Oversee the end-to-end AI lifecycle—from ideation and prototyping to scalable production deployments—ensuring strict adherence to healthcare regulations and data security standards.
  • 4. Collaborate with clinical, research, and executive stakeholders to align AI strategies with business objectives and patient care outcomes, transforming Oracle Health HDI’s digital health ecosystem.
  • 5. Implement robust MLOps frameworks to accelerate model iteration, deployment, and performance monitoring, resulting in measurable improvements in patient outcomes and operational cost efficiencies.
  • 6. Champion ethical AI practices, ensuring transparency and fairness in all AI-driven healthcare initiatives, and driving a culture of continuous innovation and excellence.
Generative AILarge Language Models (LLM)LeadershipAI Strategy

Flipkart

Head of Applied AI, US R&D

Feb 2022Jan 2025 · 2 yrs 11 mos · Redmond, Washington, United States · On-site

  • Head of Flipkart R&D USA, managing a global team of 100+ data scientists, engineers, and product managers.
  • Developed and managed GenAI products for search, recommendation, customer support, seller experience, product and marketing content generation, and supply chain optimization.
  • Using GenAI algorithms to establish conversational commerce in Flipkart. A noteworthy GenAI product under this initiative is Flippi, designed to improve the shopping experience for over 600 million customers.
  • Established MLOps/LLMOps platform hosting over 5000 models as SaaS APIs.
  • Implemented different product metrics to measure performance, user engagement, and business impact.
  • Utilized Large Language Models (LLMs) for advanced analytics and data insights.
  • Collaborated with cross‐functional teams to develop ethical and secure AI solutions.
  • Led partnerships with OpenAI, Microsoft, Google, and Nvidia for continuous innovation.
LeadershipPerformance MotivationTeam BuildingCloud ComputingApplied SciencesBuilding Performance+3

University of washington

2 roles

iSchool Capstone Program Instructor

Jan 2021Jun 2021 · 5 mos

  • I mentored the MS program students on their capstone hands-on projects for their graduating thesis. I have mentored 15 students.
LeadershipPerformance MotivationTeam BuildingCoachingApplied SciencesProgram Leadership

MS in Data Science Capstone Program Instructor

Sep 2019Feb 2022 · 2 yrs 5 mos

  • I mentor the MS in Data science program students on their two capstone hands-on projects for their graduating thesis. I have mentored 6 students in 2019, and 10 students in 2020, 15 students in 2021.
LeadershipPerformance MotivationTeam BuildingCoachingApplied SciencesProgram Leadership

Microsoft

Research Director, AI for Good Research Lab, Microsoft Research

Feb 2016Mar 2022 · 6 yrs 1 mo · Redmomd, WA

  • Headed Microsoft’s AI for Good Research Lab, leading a global team of data scientists, engineers, and product managers. Pioneered the AI for Health initiative, positioning Microsoft as a healthcare AI leader.
  • Developed Cognitive AI API Services in Microsoft Azure for scalable SaaS APIs, optimizing AI models.
  • Fostered cross‐functional collaboration and coordination for efficient team synergy.
  • Played a pivotal role in training and deploying accessible AI/ML models as APIs for developers and businesses.
LeadershipManaging ManagersPerformance MotivationTeam BuildingCloud ComputingCoaching+3

Texas advanced computing center (tacc)

Data Science Manager

Jul 2014Feb 2016 · 1 yr 7 mos · Austin, Texas Area

  • Texas Advanced Computing Center (TACC) is a Supercomputer Center and I worked on developing algorithms for implementing big data on HPC/Supercomputer. As a Data Science leader with TACC, I led a team to develop software and methods to explore, analyze, and visualize clinical and biological big data including genomic, neuroimaging, and electronic health record data. Participate in the design and execution of collaborative research studies in biomedical informatics. Furthermore, consult with users on the application and usage of TACC's computational systems to help them accelerate their pace of discovery.
CoachingApplied SciencesProgram Leadership

University of utah biomedical informatics

Data Design Manager (ML/NLP)

Apr 2013May 2014 · 1 yr 1 mo · greater salt lake city area

  • I worked on applying Machine Learning techniques on Clinical/Medical data and lead a team to develop apps for health education.
Applied Sciences

Utah education network

Data Architect

Apr 2011Aug 2013 · 2 yrs 4 mos · Greater Salt Lake City Area

  • Worked on developing a State Longitudinal Data System (SLDS) which is used as a Student Data Warehouse (DW) for state-wide education research in Utah. Played the key role in architecting the Data Model for the new DW, developing the DML/DDL for the underlying schema of this DW, mapping source data to the DW schema, loading/transformation of the data, data analysis and quality assurance for the incoming data, and data conversion plan for the ETL process. Worked on different ETL tool selection, testing, and ETL batch processing. Also worked on data integration strategies and Business Intelligence tools
Applied Sciences

School of computing, university of utah

Graduate Research Assistant

Aug 2009Mar 2011 · 1 yr 7 mos · Greater Salt Lake City Area

  • 2010 – 2011:Graduate Research Assistant, VA Salt Lake City Health Care System, Utah.
  • Worked on the integration of Java based UIMA framework for Natural Language Processing applications for healthcare domain. Also worked on using Machine Learning for Information Retrieval.
  • Summer 2010:Graduate Intern, Department of Genetics, University of Utah.
  • Worked on a sequential file converter (gtf2gff3) in the Sequence Ontology project (SOBA)) and developed a test-suite for the entire website to make it more robust.
  • 2009 – 2010:Graduate Research Assistant, School of Computing, University of Utah.
  • Worked on Kepler, a Workflow Management engine, aimed at providing solutions and products for effective and efficient modeling, design, configurability, execution, and reuse of scientific workflows.

Wipro technologies

Project Engineer

Jul 2007Jul 2009 · 2 yrs · Bengaluru Area, India

  • Worked on re-designing the programming architecture of Wipro’s client Fox Interactive Media’s applications such as MyFoxLocal (MFL), and creating a content management system for delivery of digital content to digital networks for end users to view via digital devices from anywhere in the world. Worked on the AOMAProject. AOMAis a tool developed by SONYBMG Team for handling the Asset management for SonyBMG internally. Worked for Wipro’s client General Motors on the OnStar Project aimed at providing security, maintenance, and enhancements to their security and transaction related requirements

Education

University of Utah

MS — Computer Science

Jan 2009Jan 2011

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