Aayush Gupta

Aayush Gupta

Research Intern

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location of Aayush GuptaSan Diego, California, United States

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  • Timeline

  • About me

    MS in Computer Science @ UC San Diego | Seeking full-time Software/ML engineer opportunities | Software Developer @ Adobe | B.Tech in Computer Science @ IIT Kharagpur | Software Development | Machine Learning

  • Education

    • Indian Institute of Technology, Kharagpur

      2015 - 2019
      Bachelor of Technology Computer Science 9.44/10

      Coursework- Programming and Data Structures- Algorithms- Software Engineering- Operating Systems- Computer Networks- Database Management Systems- Machine Learning- Deep Learning- Natural Language Processing- Compilers- Computer Organization and Architecture- Data Analytics- Cryptography- Image Processing- Artificial Intelligence- Parallel and Distributed Algorithms- Information Retrieval

    • UC San Diego

      2022 - 2024
      Master of Science - MS Computer Science 4/4

      Fall '22CSE 250A - Probabilistic Reasoning and LearningCSE 258 - Recommender SystemsCSE 260 - Parallel ComputationWinter '23CSE 203B - Convex OptimizationCSE 224 - Graduate Networked SystemsResearcher at Prof. Rose Yu's labSpring '23CSE 252D - Advanced Computer VisionCSE 256 - Statistical Natural Language ProcessingCSE 291 - Unsupervised Learning

  • Experience

    • Adobe

      May 2018 - Jul 2018
      Research Intern

      Project title: ”Multi-modal learning for brand personality classification”Designed a machine learning model that can extract information from images and text, and determine the brand personality depicted by the input multi-modal content. The model achieved an F1 score of 0.81 on seen brands and 0.62 on unseen brands and is useful for curating multi-modal content to maintain the brand image of a company.

    • Adobe

      Jun 2019 - Sept 2022

      - Enhanced the ’Edit PDF’ functionality to handle PDF files comprising paragraphs, lists, and images, culminating in the successful launch of reflowable ’Edit PDF’.- Resolved 30+ major release blocker issues in undo‑redo of reflowable edit operations, ensuring a high‑quality user experience in undo‑redo workflows.- Ensured compliance of the Scan feature in Acrobat with screen readers, thereby enhancing accessibility for users with impaired vision.- Migrated components to 64‑bit architecture, resulting in the successful release of the 64‑bit version of Acrobat.- Worked in an agile environment to deliver solutions on time and with efficiency. Show less

      • Computer Scientist (Software Developer 3)

        Feb 2022 - Sept 2022
      • Software Developer 2

        Jul 2020 - Feb 2022
      • Software Developer

        Jun 2019 - Jul 2020
    • UC San Diego

      Jan 2023 - Mar 2024

      Developing deep learning models to automatically generate intra-cellular signals from extra-cellular signals associated with heart muscle cells. The current model achieves an MSE of 0.003 on a custom dataset and such models can aid in efficiently detecting the risk of proarrhythmia in heart patients.

      • Graduate Teaching Assistant

        Jan 2024 - Mar 2024
      • Graduate Student Researcher

        Jan 2023 - Feb 2024
  • Licenses & Certifications