Experience

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  Buddi ai

  Jun 2019 - Jul 2022

  - Implemented novel machine learning and deep-learning models for Negated Clinical Information Identification and Punctuation Restoration in healthcare data. - Developed systems for performing computer-assisted medical coding. Built a generic pipeline for extracting clinical drug related information from healthcare data.- Secured first position in the Hindi and Multilingual track of the ComMA Shared Task at ICON 2021. Implemented and trained individual and multi-task learning approaches using BERT to solve classification tasks in code mixed social media data. Published a paper describing the solution. Show less - Built AI-powered systems for clinical data mining. Developed modules that combined Named Entity Recognition Parsers with heuristic rules for extracting significant clinical information from healthcare data.- Participated in various shared tasks and workshops. Published a paper at the Endoscopic Artifact Detection (EAD-2020) shared task held as part of the EndoCV workshop at ISBI 2020.- Secured the second place in the English Track of the EDNIL-2020 workshop at FIRE 2020. Developed a Named Entity Recognition system powered by representations from DistilBERT, character-level 1D CNNs and Part-of-Speech tags. Show less

  • Research Engineer - II

    Jan 2022 - Jul 2022

  • Research Engineer

    Jan 2021 - Dec 2021

  • Junior Research Engineer

    Sept 2019 - Dec 2020

  • Research Intern

    Jun 2019 - Aug 2019
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  Ridecell

  Nov 2022 - Jan 2023

  Intern

  Worked with the Nemo Team on building a data-driven approach to scenario extraction from drive data. Developed a novel multi-task learning approach for self-supervised representation learning from time-series data.

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  Asus

  May 2023 - Nov 2023

  - Worked on a new benchmark suite for evaluating LLMs in the biomedical and clinical domain.- Had the opportunity to publish two papers. Worked on Large Language Model tooling and research for biomedical and clinical text.

  • AI Research Intern

    Sept 2023 - Nov 2023

  • AI Research Intern

    May 2023 - Aug 2023
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  National university of singapore

  Sept 2023 - Nov 2023

  Graduate student researcher

  - Advised by Prof. Stefan Winkler at NUS, as part of my Master's project in my final semester.- Worked on analyzing the domain adaptation capabilities of LLMs for the biomedical and clinical domain, and on testing the clinical knowledge encoded by open-source LLMs. - Developed a benchmark to analyze clinical knowledge of LLMs through Question Answering tasks in few-shot and finetuned settings.- Project accepted for publication as a paper at ACL 2024.

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  Medium

  Feb 2024 - now

  Contributing writer

  I write articles exploring how Large Language Models can be used for biomedical and clinical use cases.

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  Crayon

  Feb 2024 - now

  Working on information extraction and question answering solutions for client use cases using LLMs.

  • Machine Learning Engineer

    Apr 2025 - now

  • Machine Learning Engineer

    Feb 2024 - Mar 2025