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πŸŒ™
learning how things behave when they break
πŸŒ™
learning how things behave when they break

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cherikakaushal/README.md

Cherika Kaushal

Computer Science Β· Research Β· Software Engineering

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whoami

I'm a Computer Science & Engineering undergraduate interested in the space where:

software engineering Γ— research Γ— machine learning Γ— data systems

meet.

I like building things that are useful, breaking them to understand their limits, and then asking why they behaved the way they did.

My interests currently sit around:

  • πŸ”¬ Research & experimental software
  • πŸ€– Machine learning & AI
  • 🧠 Human-centered and intelligent systems
  • πŸ“Š Data-intensive applications
  • πŸ› οΈ Full-stack & backend engineering
  • 🧩 Reliable and resilient systems
  • 🌐 Web, APIs & distributed applications
  • πŸ₯½ Immersive / VR systems

I don't just want software to work.
I want to understand what happens when it doesn't.


what i build

My projects usually fall somewhere between research prototype, engineering system and experiment.

πŸ”¬ Research & Intelligent Systems

Projects exploring machine learning, robustness, human behaviour, research workflows and data-driven systems.

🧩 Software & Data Systems

Full-stack applications with APIs, databases, dashboards, authentication, data pipelines and real-world workflows.

🌐 Web & Product Engineering

Production-oriented interfaces and applications built with modern JavaScript/TypeScript stacks.

πŸ₯½ Immersive Technology

Exposure to VR, 3D environments and immersive applications through work with BuildVR / GretXP.


featured work

🧠 MenoTrack β€” Longitudinal Women's Health Research Platform

A research platform designed for longitudinal study workflows involving participant management, research sessions, wearable data, symptoms, adherence and research datasets.

Stack

Next.js Β· TypeScript Β· Tailwind CSS Β· Node.js Β· Express Β· MongoDB Β· Flutter

Focus

Research Software Β· Data Collection Β· Wearables Β· Dashboards Β· ML Data Pipelines


πŸ›‘οΈ When Systems Break

An experimental project exploring machine-learning robustness under noise and imperfect conditions.

Instead of asking only:

"How accurate is the model?"

the project asks:

"What happens when the assumptions around the model stop being true?"

Focus

Machine Learning Β· Robustness Β· Noise Β· Experimentation


πŸ”Ž ARPIS β€” AI-Assisted Research Exploration

A research-oriented platform designed to help researchers explore and navigate academic information using AI-assisted workflows.

Focus

Research Tools Β· AI Β· Information Retrieval Β· Web Applications

Explore ARPIS β†’


🚚 Cargo-X

A web application focused on digital logistics and cargo workflows.

Stack

React Β· JavaScript Β· CSS Β· Web Development

Live Project β†’


🌾 Resilient Rural Data System

An exploration of local-first / offline-first systems designed for environments where connectivity cannot be assumed.

The central question:

How do we build useful digital systems when the network isn't reliable?

Focus

Resilient Systems Β· Offline-first Architecture Β· Data Systems

Explore β†’


experience

BuildVR / GretXP

Marketing + Software / Immersive Technology

Worked across both technical and content-oriented sides of an immersive technology platform.

Areas of exposure:

  • VR and immersive experiences
  • 3D / virtual environments
  • Web development
  • Product/content integration
  • Testing and deployment
  • SEO and technical content
  • Blogs and social media
  • Product communication

The experience taught me something I value a lot:

Good technology also needs to be understandable to the person using it.


Grubox

Marketing + Web Development

Worked across product, development and marketing workflows for a technology-enabled corporate food platform.

Areas of work included:

  • Web development
  • Frontend work
  • Website migration and maintenance
  • Content
  • SEO
  • Marketing
  • Product communication

tech stack

Languages

Python C++ C JavaScript TypeScript SQL

Web & Backend

React Next.js Node.js Express

Databases & Infrastructure

PostgreSQL MongoDB Git GitHub Linux

Exploring

Unity Β· C# Β· Blender Β· XR / VR Β· Machine Learning Β· Data Engineering


engineering interests

Research Software
      β”‚
      β”œβ”€β”€ Machine Learning
      β”‚      β”œβ”€β”€ Robustness
      β”‚      β”œβ”€β”€ Evaluation
      β”‚      └── Explainability
      β”‚
      β”œβ”€β”€ Data Systems
      β”‚      β”œβ”€β”€ Collection
      β”‚      β”œβ”€β”€ Processing
      β”‚      └── Visualization
      β”‚
      β”œβ”€β”€ Intelligent Systems
      β”‚      β”œβ”€β”€ AI
      β”‚      β”œβ”€β”€ Human Interaction
      β”‚      └── Decision Making
      β”‚
      └── Immersive Systems
             β”œβ”€β”€ VR
             β”œβ”€β”€ 3D Environments
             └── Simulation

Pinned Loading

  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