Experience

Distributed Systems Research Assistant Aug 2023 - Present
Lawrence Berkeley National Laboratory Berkeley, CA

  • Analyzed 2PB of operational logs for the Southern California Petabyte Scale Cache and created an LSTM model to predict future dataset accesses, optimizing cache storage policies for the US Department of Energy as part of the Computational Research Division at LBNL.
  • Awarded Berkeley’s Data Discovery “Cloud Computing Award” out of 900 participants.
  • Lead Infrastructure Teaching Assistant Aug 2023 - Present
    UC Berkeley College of Computing, Data Science & Society Berkeley, CA

  • Strengthened course infrastructure using GCP Vertex AI and Cloud Storage. Leveraged Generative AI to construct an LLM workflow for parsing EdStem questions, employing agent-based document retrieval and OCR.
  • Managed course website and technical operations as Infrastructure Lead TA, and led office hours for CS61A: Computer Programs (1500+ students) and Data 100: Data Science Techniques (1200+ students).
  • LLM Research Assistant Jun 2024 - Oct 2024
    Lawrence Berkeley National Laboratory Berkeley, CA

  • Developed a Proof of Concept for converting Google Digital Building Ontology to BRICK format, integrating LLMs to generate HVAC templates within the Building Technology & Urban Systems Division at LBNL.
  • Machine Learning Intern Jun 2024 - Aug 2024
    MD.ai New York, NY

  • Developed a multi-agent workflow for generating patient-friendly medical reports, reducing the edit rate of LLM-generated reports from 75% to 18.25%. arXiv Preprint; paper in review
  • UI/UX Intern Feb 2024 - May 2024
    Silicon Valley Commerce San Francisco, CA

  • Designed user interfaces for a recipe website for customers purchasing products from the company’s 500k+ product inventory on Amazon.
  • Demonstrated proficiency in industry-standard design tools such as Adobe XD, Sketch, and Figma to create high-fidelity mockups and prototypes.
  • President May 2023 - Jan 2024
    Women in Computing and Data Science (WiCDS) at Berkeley Berkeley, CA

  • Led student organization of 130+ members, training officers across divisions from education to industry relations.
  • Increased membership by over 200% in a single semester.
  • Research Assistant Apr 2023 - Aug 2023
    Imperial College London London, United Kingdom

  • Performed research as part of the AYL (A Yang Lab) at Imperial College London, led by Dr Guang Yang, which focuses on the development of artificial intelligence (AI) powered applications for biomedicine, including Smart Imaging, Omics Analysis and AI in Drug Discovery.
  • Data Science Intern Feb 2023 - May 2023
    Merck San Francisco, CA

  • Selected to work in a small team under the Data Discovery Program. Extracted relevant information and leverage data analysis techniques to generate a benchmark dataset for discovery biologics.
  • Converted 1M+ protein sequences into machine-readable vectors using Ablang. Performed dimensionality reduction and utilised UMAP and t-SNE to visualise principal columns.
  • Student Ambassador Aug 2022 - Dec 2022
    Microsoft GroupMe San Francisco, CA

  • Selected as one of the top 10 finalists nationwide for the GroupMe Semester program, out of over 100 student ambassadors.
  • Organized and promoted events as a Student Ambassador for Microsoft's GroupMe at Berkeley.
  • Increased awareness and engagement with GroupMe Connect on campus.
  • Publications

    M. Sudarshan, A. Sim, K. Wu. Predicting Dataset Popularity for Improved Distributed Content Caching in High Energy Physics. Poster presented at the ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’24); Nov 17–22, 2024; Atlanta, GA.

    O. Mulayim, L. Paul, M. Pritoni, A. Prakash, M. Sudarshan, G. Fierro. Transforming Building Semantics: Large Language Models for Creation and Querying. Presented at the Seventh International Workshop on Data Acquisition & Analysis in the Era of AI (DATA) at ACM BuildSys 2024; Nov 6, 2024; Hangzhou, China.

    M. Sudarshan, S. Shih, E. Yee, A. Yang, J. Zou, C. Chen, Q. Zhou, L. Chen, C. Singhal, G. Shih. Agentic LLM Workflows for Generating Patient-Friendly Medical Reports. arXiv:2408.01112

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