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learning how things behave when they break
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learning how things behave when they break
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Achievement: Quickdraw

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cherikakaushal/README.md

Cherika Kaushal

Building reliable software through systems, research & AI.

Technologies

GitHub Analytics

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Featured Projects

Project Description
🧠 When Systems Break Controlled experiments exploring how machine learning systems behave under noisy and incomplete data.
📊 Signal vs Noise Experimental analysis of robustness, missing values and noisy datasets.
❤️ Women's Health Research Platform Research software developed for longitudinal digital health studies during IIT Ropar internship.
🏥 Stress Management Platform Full-stack research platform integrating participant assessments and wearable health data.
📚 ARPIS AI-assisted research paper exploration platform.

Connect

Portfolio • LinkedIn • Email

Building software that remains reliable when reality becomes messy.

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  1. when-systems-break when-systems-break Public

    Exploring how machine learning systems behave under noisy, missing, and imperfect data.

    Python 1

  2. buildvr-lp buildvr-lp Public

    Landing page for immersive VR experience platform. https://buildvr.ai/

    JavaScript 1

  3. arpis-AI-Research-Paper-Intelligence-System arpis-AI-Research-Paper-Intelligence-System Public

    AI system designed to analyze, summarize, and extract insights from research papers.

    TypeScript

  4. symptom-scope symptom-scope Public

    A mobile app that predicts possible health conditions based on user symptoms.

    Dart

  5. signal-vs-noise signal-vs-noise Public

    Studying how information systems behave under noise, missing context, and bias.

    Python