Anusua (Anu) Trivedi

Anusua (Anu) Trivedi Email and Phone Number

Head of GenAI, Oracle Health HDI @ Oracle
Kirkland, WA, US
Anusua (Anu) Trivedi's Location
Kirkland, Washington, United States, United States
Anusua (Anu) Trivedi's Contact Details
About Anusua (Anu) Trivedi

At Flipkart, my leadership in Applied AI propels generative technology forward, enhancing our customer and seller experiences across a vast e-commerce platform. With a forte in Generative AI and Large Language Models, my team and I have developed notable products like Flippi, bolstering the shopping journey for a massive user base.My tenure at Flipkart, marked by pioneering a comprehensive MLOps/LLMOps platform, underscores a commitment to operational excellence and impactful product strategies. In collaboration with a global team, we've operationalized AI to deliver measurable business outcomes and set new standards in conversational commerce.

Anusua (Anu) Trivedi's Current Company Details
Oracle

Oracle

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Head of GenAI, Oracle Health HDI
Kirkland, WA, US
Website:
oracle.com
Employees:
202102
Anusua (Anu) Trivedi Work Experience Details
  • Oracle
    Head Of Genai, Oracle Health Hdi
    Oracle
    Kirkland, Wa, Us
  • Flipkart
    Head Of Applied Ai, Us R&D
    Flipkart Feb 2022 - Present
    Bangalore, Karnataka, In
    • 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.
  • Microsoft
    Research Director, Ai For Good Research Lab, Microsoft Research
    Microsoft Feb 2016 - Mar 2022
    Redmond, Washington, Us
    • 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.
  • University Of Washington
    Ms In Data Science Capstone Program Instructor
    University Of Washington Sep 2019 - Feb 2022
    Seattle, Wa, Us
    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.
  • University Of Washington
    Ischool Capstone Program Instructor
    University Of Washington Jan 2021 - Jun 2021
    Seattle, Wa, Us
    I mentored the MS program students on their capstone hands-on projects for their graduating thesis. I have mentored 15 students.
  • Texas Advanced Computing Center (Tacc)
    Data Science Manager
    Texas Advanced Computing Center (Tacc) Jul 2014 - Feb 2016
    Austin, Texas, Us
    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.
  • University Of Utah Biomedical Informatics
    Data Design Manager (Ml/Nlp)
    University Of Utah Biomedical Informatics Apr 2013 - May 2014
    Salt Lake City, Utah, Us
    I worked on applying Machine Learning techniques on Clinical/Medical data and lead a team to develop apps for health education.
  • Utah Education Network
    Data Architect
    Utah Education Network Apr 2011 - Aug 2013
    Salt Lake City, Utah, Us
    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
  • School Of Computing, University Of Utah
    Graduate Research Assistant
    School Of Computing, University Of Utah Aug 2009 - Mar 2011
    Salt Lake City, Utah, Us
    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
    Wipro Technologies Jul 2007 - Jul 2009
    Bangalore, Karnataka, In
    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

Anusua (Anu) Trivedi Skills

Data Analysis Machine Learning Databases Sql Data Science Business Intelligence Deep Learning Big Data Python Data Warehousing Data Mining Artificial Intelligence Microsoft Sql Server Algorithms Statistical Modeling Predictive Analytics R Unix Shell Scripting Natural Language Processing Visual Studio Cognitive Apis Bot Computer Vision

Anusua (Anu) Trivedi Education Details

  • University Of Utah
    University Of Utah
    Computer Science

Frequently Asked Questions about Anusua (Anu) Trivedi

What company does Anusua (Anu) Trivedi work for?

Anusua (Anu) Trivedi works for Oracle

What is Anusua (Anu) Trivedi's role at the current company?

Anusua (Anu) Trivedi's current role is Head of GenAI, Oracle Health HDI.

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What schools did Anusua (Anu) Trivedi attend?

Anusua (Anu) Trivedi attended University Of Utah.

What are some of Anusua (Anu) Trivedi's interests?

Anusua (Anu) Trivedi has interest in Research In Ml And Nlp, Big Data, Education, Environment, Science And Technology.

What skills is Anusua (Anu) Trivedi known for?

Anusua (Anu) Trivedi has skills like Data Analysis, Machine Learning, Databases, Sql, Data Science, Business Intelligence, Deep Learning, Big Data, Python, Data Warehousing, Data Mining, Artificial Intelligence.

Who are Anusua (Anu) Trivedi's colleagues?

Anusua (Anu) Trivedi's colleagues are Ponthip Kamenkaew, Tomas Dzik, Sakshi Sharma, Jason Beloro, Jenna Albertson, Gergely Janko, Fabiola Sanson.

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