Jayadithya Nalajala

Jayadithya Nalajala

Machine Learning Intern

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location of Jayadithya NalajalaKansas City, Missouri, United States

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  • Timeline

  • About me

    #Actively Looking for Summer Internships (2024)

  • Education

    • University of Missouri-Kansas City

      2023 - 2024
      Master's degree Computer Science
    • RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES, NUZVID

      2019 - 2023
      Bachelor's degree Computer Science 9.0 CGPA
  • Experience

    • Verzeo

      Oct 2020 - Dec 2020
      Machine Learning Intern
    • Indian Institute of Technology, Indore

      May 2021 - Jul 2021
      Research Intern

      Developed a neural network using Resnet50 and histogram oriented gradient features for the classification of fingerprints as part of a research project. Trained the model from scratch usingTensorFlow, which resulted in classification accuracy on par with state-of-the-art networks.

    • MeeBuddy

      Sept 2021 - Feb 2022
      Web/app developer

      •Worked on various technologies like android, React.js and MEANstack.•migrated core application code base from ionic 3 to ionic 5.•Worked on 3+ projects with 50+ thousand users worldwide.•Implemented various Rest APIs for seamless exchange of databetween applications and servers using AWS.

    • Straw Hat XYZ

      Sept 2022 - Feb 2023
      AI Engineer

      •Built a web app using Whisper and GPT-3 to convert audio files into interactive blog posts with chapters and summaries.•Created a powerful Recommender System API on GCP's Vertex AI, delivering personalized Web3 product recommendations via a Chrome extension.•Automated NFT art collection creation, reducing manual work by 90%.

    • Global Innovation Hub

      Mar 2023 - Jul 2023
      Software Developer Internship

      • Implemented Bayesian Belief Network(BBN) Algorithm to detect Dialysis Efficacy through voice-based analysis resulting in a 60% improvement in predictive accuracy and seamlessly deploying models on AWS SageMaker. • Implemented LangChain to enhance clinical data structuring, achieving a 15% efficiency boost through advanced prompt engineering techniques.• Boosted data retrieval accuracy and efficiency by 20% with the implementation of RAG across diverse data sources. • Spearheaded AR/VR projects using ARCore, Unity, and C#, while meticulously documenting workflows and milestones for technical clarity and project progression. Show less

    • University of Missouri-Kansas City

      Jan 2024 - now
      Front Desk Representative
    • UMKC School of Science and Engineering

      Feb 2024 - now
      Graduate Research Assistant

      • Establishing 5G test bed infrastructure facilitating seamless connectivity between UMKC, University of Arizona and NIST.• Utilized Magma, OSM and Open Air Interface for adaptable networks using docker and kubernetes for deployment.• Creating data pipelines to store test-bed metrics and log data and deploying GenAI applications on the 5Gtest-bed.

  • Licenses & Certifications