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aaryaa8/README.md

Aaryaa Kamdar

Founder and builder working where machine learning, cognitive science, and interface design meet. Architect-trained, so I think in systems and structure. I build AI tools designed around how people actually reason, with interpretability and trust treated as first-class features rather than afterthoughts.

Currently building Axial at Brown University. Graduating May 2026, based in SF.

Axial

An AI platform that maps how each student thinks and converts those patterns into task-specific study strategies. I lead product, design, and engineering across the whole stack: the explainable cognitive model, the interactive knowledge graph, and a voice coach that talks a student through their own reasoning.

Built with Next.js, TypeScript, Supabase, and Claude. The voice layer connects Axial's cognitive model to a real-time coach through the Model Context Protocol and ElevenLabs.

Also building

  • LLM behavioral study: testing hyperbolic discounting across Llama, Mistral, Claude, and GPT on the Psych-101 dataset, with contamination checks and NLL alignment scoring
  • Multi-Dimensional Colour Space: an ML pipeline predicting hair-colour formulations across 29,000 shades using neural networks and Kubelka-Munk post-processing

Working with

Python · TypeScript · SQL · Next.js · Supabase · Claude · Figma · Tableau

Elsewhere

Portfolio · LinkedIn · aaryaa.kamdar@gmail.com

Popular repositories Loading

  1. Spatialized-Decision-Trees_ML Spatialized-Decision-Trees_ML Public

    Python

  2. Multi-Dimensional-HEX-Mapping-Color-Space Multi-Dimensional-HEX-Mapping-Color-Space Public

    Designing a multi-dimensional parallel color space to predict color formulation visuals.

    Python

  3. aaryaa8 aaryaa8 Public

  4. cpsy1950_final_project cpsy1950_final_project Public

    Behavioral experiment testing hyperbolic discounting in LLMs (Llama, Mistral, Claude, GPT-5.4) using the Psych-101 dataset. Includes zorbs contamination test and NLL alignment scoring. CPSY 1950, B…

    Jupyter Notebook

  5. legible-wayfinding-gym legible-wayfinding-gym Public

    A wayfinding gym for physical AI: measuring how people respond to spatial cues to train robots and world models. VLGE Open World hackathon.

  6. axial-yc axial-yc Public

    Axial reframed for YC's Primer thesis — a reading tutor that learns how your child thinks. Interactive single-page demo.

    TypeScript