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  • HES-SO Valais-Wallis
  • Switzerland

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  • 👋 Hello, Namaste, नमस्कारः, Hallo, Salam, I’m @anjani-dhrangadhariya
  • I build AI systems that make it into production. Most recently at Roche pRED, where I took a GenAI document generation pipeline from concept to validated production in a regulated environment, and built agentic extraction pipelines over scientific literature.
  • My work sits at the intersection of NLP, LLMs, and life sciences: agentic workflows, RAG, information extraction, weak supervision, and semantics and FAIR standards. PhD in Computer Science (Geneva) on NLP and deep learning for systematic review automation, with 12 first-author publications.
  • Interested in AI for clinical and scientific work that survives contact with real constraints — evaluation, validation, and getting people to actually use it.

📫 anjani.k.dhrangadhariya@gmail.com

  • ♡♡♡ I love knowing about similarities in different languages, especially how Hindi and its mother, Sanskrit, are linked to Persian and its mother, Avestan, by the threads of history. Avestan and Sanskrit have several cognates and are mutually intelligible, forming deep links between ancient India and Iran far before the Arab conquest. Check out the repos @persian-hindi and @sanskrit-avestan. I am also interested in learning more about history and understanding how words metamorphosize over time within the Indian subcontinent. ♡♡♡

Pinned Loading

  1. distant-PICO distant-PICO Public

    Jupyter Notebook 2

  2. citation-screening-ml citation-screening-ml Public

    This work intended to explore the problem of automating citation screening using machine-learning to accelerate the process of generating systematic reviews.

    Jupyter Notebook 1

  3. pathology-report-classification pathology-report-classification Public

    Jupyter Notebook 2

  4. distant-cto distant-cto Public

    Jupyter Notebook 1

  5. Bioinformatics_Textmining Bioinformatics_Textmining Public

    Forked from goto-vulture/Bioinformatics_Textmining

    The determination of so-called "dominating word sets" from data sets in the field of bioinformatics.

    C

  6. RoBuster RoBuster Public

    HTML