Kedarnath K Chimmad

Kedarnath K Chimmad

Software Engineer

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location of Kedarnath K ChimmadSan Jose, California, United States

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  • Timeline

  • About me

    MS CS @ UMass Amherst| Ex Data Engineer @ Shell | Natural Language Processing, Data Engineering

  • Education

    • Sri Chaitanya Techno School, Bangalore

      2015 - 2017
      Pre University
    • University of Massachusetts Amherst

      2023 - 2025
      Master of Science - MS Computer Science 3.9

      Coursework:Fall 2023:Systems for Data ScienceMachine LearningResponsible AISpring 2024:Adv. Natural Language ProcessingComputer VisionIndependent Study - Machine Learning for Child Rescue

    • Vellore Institute of Technology

      2017 - 2021
      Bachelor of Technology Computer Science 3.95

      Activities and Societies: Kannada Literary Association Coursework: Data Structures & Algorithms, Operating Systems, DBMS, Web Mining, Artificial Intelligence Image Processing, Social & Information Networks, Data Visualization, Applied Linear AlgebraExperience

  • Experience

    • SAIPREMA TECHNOLOGIES INDIA PRIVATE LIMITED

      May 2019 - Jun 2019
      Software Engineer

      • Designed and developed a hospital-based medical data collection prototype, leveraging AWS Transcribe speech transcription technology.• Empowered doctors to efficiently record prescriptions and post-surgery reports while utilizing AWS Lambda for seamless functionality.

    • Osteos India Pvt Ltd

      Dec 2020 - Aug 2021
      Software Engineer

      • Implemented enhanced security in a medical prescription transcription application using AWS Cognito. Utilized OAuth 2 to develop automated token refreshing mechanisms, ensuring uninterrupted AWS Transcribe job functionality.• Additionally, integrated user registration into AWS Cognito through OAuth 2 within the application

    • Shell

      Oct 2021 - Jul 2023
      Data Engineer

      • Designed strategic data models for complex business needs, creating a roadmap for Shell’s data transformation using modern data warehousing technologies.• Led development of an advanced data model, cutting financial forecasting time from hours to under a minute, improving efficiency.• Conducted peer reviews, offering insights on data modeling and ETL processes, helping the team overcome design challenges.• Developed 5 Power BI dashboards for real-time progress tracking and expense management. Integrated data from diverse sources for informed decision-making. Show less

  • Licenses & Certifications