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👋 Welcome to Indriya

Indriya (Sanskrit: senses) is a space where technology sharpens perception. I’m a researcher, IP analyst, and science communicator with a PhD in Physics and an MTech in Data Science Engineering — passionate about turning deep-tech ideas into usable, outreach-ready tools.

 

🚀 What I’m Building

  • IP Intelligence for AI Healthcare
    Scouting patents and trends in diagnostic imaging, biosensors, and synthetic biomedical data.

  • Modular Annotation Tools
    GUI platforms for biomedical signal labeling (ECG, ultrasound) with debug overlays and blog-ready visuals.

  • Synthetic Data Pipelines
    VAE/GAN-based ECG and imaging datasets for training, validation, and regulatory testing.

  • Reproducible Workflows
    Containerized environments to validate and extend IP-backed prototypes.

  • Mentorship & Translation
    Bridging inventors, IP holders, and product teams to turn patents into pilots.

  • Science Communication
    Annotated tutorials, patent insights, and reproducible toolkits for researchers and startups.

  • Ethical IP Collaboration
    Promoting transparent, inclusive models for IP sharing in healthcare and public-good domains.

 

🛠️ My Technical Roots

  • Signal processing in radar, sonar, and biomedical domains

  • Software development in C++, Python, Fortran, and GPU computing

  • GUI design for scientific annotation and visualization

 

📅 Availability

Open for research, consulting  & collaborations

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