Abhilash Rajesh Bagalkoti

Data Science Intern (Generative AI) at MediCodio Inc.
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Contact Information
us****@****om
(386) 825-5501
Location
Dallas, Texas, United States, US
Languages
  • English Professional working proficiency
  • Kannada Full professional proficiency
  • Hindi Professional working proficiency

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Credentials

  • Convolutional Neural Networks
    Coursera
    Mar, 2021
    - Oct, 2024
  • Structuring Machine Learning Projects
    Coursera
    Sep, 2020
    - Oct, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Jul, 2020
    - Oct, 2024
  • Neural Networks And Deep Learning
    Coursera
    Apr, 2020
    - Oct, 2024
  • Learning Python
    LinkedIn
    Sep, 2019
    - Oct, 2024

Experience

  • MediCodio Inc.
    • United States
    • Software Development
    • 1 - 100 Employee
    • Data Science Intern (Generative AI)
      • May 2023 - Present

      • Spearheaded a pioneering medical coding AI project to predict CPT, ICD, and Modifier codes from operative reports, achieving accuracy rates surpassing benchmarks and demonstrating AI’s potential to optimize workflows. • Employed prompt engineering and retrieval-augmented generation techniques, leveraging Pinecone’s Vector Database, to enhance OpenAI’s GPT-3.5 model performance in generating accurate predictions. • Collaborated with medical professionals to devise strategies and iteratively refine model responses, accounting for clinical intricacies and ethical considerations. • Received commendation for swiftly mastering integration of Pinecone’s vector retrieval to augment predictions, along with adaptability and critical thinking. • Produced detailed documentation outlining prompt engineering methodologies, large language models, retrieval augmented techniques, and key learnings for internal knowledge sharing. Show less

  • Sony India Software Centre
    • India
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Machine Learning Engineer
      • Apr 2020 - Jul 2022

      • Reduced 10% manual efforts in testing of audio applications by introducing a complete ML pipeline to classify Gender, Accent and Languages using deep learning algorithms.• Built a Mean Opinion Score (MOS) prediction model which eliminated the need for listening tests by 60% during voice chat application testing.• Implemented a proof of concept for a code generation tool using a transformer model (GPT-2) that reduced efforts in regression testing by 40%.• Experimented and evaluated the working of Vector Quantized Variational Auto Encoder (VQVAE) models on emotion tagged datasets for speech reconstruction.• Organized knowledge sharing sessions on deep learning techniques in text and audio domain for 20+ senior professionals. Show less

    • Software Engineer Trainee
      • Jul 2019 - Apr 2020

      • Led a team of two to develop an Auto Dense Tagging tool using machine learning which lowered manual game testing efforts by 15%. • Developed a minimum viable product of an OCR tool for detecting and recognizing subtitles in video games, which resulted in a new project creation.• Designed an API based recognition of selected icons on TV screens which increased automation by 10% in testing.

  • VSoft Technologies Pvt. Ltd.
    • India
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Software Engineer Intern
      • Jan 2019 - Apr 2019

      Developed an UI for Mutual Agreement Scheme (MAS) for banking software using Angular 5, HTML, CSS, REST APIs and GIT. Developed an UI for Mutual Agreement Scheme (MAS) for banking software using Angular 5, HTML, CSS, REST APIs and GIT.

  • Novopay
    • United Kingdom
    • Financial Services
    • 1 - 100 Employee
    • Software Development Intern
      • Jun 2018 - Aug 2018

      Developed a bill payment module for the Novopay retailer. Worked on HTML5, Typescript, Angular2 and GIT for a period of 9 weeks. Developed a bill payment module for the Novopay retailer. Worked on HTML5, Typescript, Angular2 and GIT for a period of 9 weeks.

Education

  • The University of Texas at Dallas
    Master of Science - MS, Computer Science
    2022 - 2024
  • KLE Technological University - Hubballi (India)
    Bachelor of Engineering, Electrical, Electronics and Communications Engineering
    2015 - 2019
  • KLE Technological University - Hubballi (India)
    Minor Program, Entrepreneurship/Entrepreneurial Studies
    2016 - 2018

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