BISWAS PERSONAL COMPUTER

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Biswas

About Biswas

Hi, I’m Biswas Khatiwada.

I’m a Computer Science student at Iowa State University. I build products and open-source tools for the web, Apple platforms, applied AI, and security research. I like understanding the full path, from the interface people use to the systems behind it.

Education

Iowa State University
Bachelor of Science in Computer Science, 2025–2028. Expected graduation: December 2028.

I also volunteer with the Student Union Board’s After Dark program.

GitHub / LinkedIn / Email

Biswas Khatiwada standing outside in warm evening light
A portrait at Iowa State, 2026

Software archive

Products, research tools, and smaller builds. Open Parable here, or continue to each project’s GitHub repository.

Product & developer tools
Parable component catalog showing a grid of interface previews.

Parable

Parable is an open-source catalog of 88 React components and 78 complete templates that developers can copy into their own projects.

I built the Next.js catalog, live previews, shadcn-compatible registry, documentation, and stateless MCP endpoint.

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS
  • Motion
  • shadcn registry
  • MCP
Native software
Parcel editor with screenshot annotation controls and export settings.

Parcel

Parcel is a native macOS app for capturing, editing, redacting, recording, and exporting screen content.

I built the ScreenCaptureKit workflow, shared editor and export renderer, re-editable history, and on-device recognition tools.

  • Swift
  • SwiftUI
  • ScreenCaptureKit
  • AppKit
  • Vision
  • Core Image
Hackathon projects
Mosaic iPhone screens for submitting an act, tracking progress, and revealing the artwork.

Mosaic

Mosaic is an iPhone app where privately verified acts add equal-size tiles to a shared artwork.

I built the SwiftUI participant and organizer flows, Supabase backend, RLS policies, private media handling, widgets, and final reveal.

  • Swift
  • SwiftUI
  • Supabase
  • PostgreSQL
  • Edge Functions
  • RevenueCat
Security research
BBHUNTER pipeline from reconnaissance through prediction, hunting, validation, and evidence.

BHBBHUNTER

BBHUNTER is an authorized security-research toolkit with 13 reconnaissance phases, 58 hunt skills, and independent validation.

I built the CLI orchestration, report-derived knowledge base, sibling predictor, MCP services, and evidence workflow that separates candidates from verified findings.

  • Node.js
  • Bash
  • Python
  • GraphQL
  • MCP
  • Security tooling
Applied AI
FaceCheck Pro architecture from image upload through face detection, embedding, and vector search.

FCFaceCheck Pro

FaceCheck Pro is a limited educational face-retrieval study using 512-dimensional ArcFace embeddings and a 252-face demonstration index.

I built the Next.js upload interface and FastAPI query path, kept uploads in memory, and separated browser feedback from server-side matching.

  • Next.js
  • React
  • Python
  • FastAPI
  • InsightFace
  • ArcFace
  • ChromaDB
  • ONNX Runtime
Design engineering
Four Formwork templates showing generative graphics, kinetic type, and interactive layouts.

FWFormwork

Formwork is a collection of 27 standalone HTML, CSS, and JavaScript templates for graphics, motion, sound, and interaction.

I built each template without a build step and documented the main interaction so every example can be opened and studied on its own.

  • HTML
  • CSS
  • JavaScript
  • WebGL
  • Three.js
  • Web Audio
Applied AI & coursework
Validation accuracy comparison between the custom CNN and MobileNetV2 mushroom classifiers.

AIImage Classifier

Image Classifier is an Iowa State project comparing a custom CNN with MobileNetV2 across five mushroom species.

I built the notebook, data augmentation, evaluation, and result visualizations; MobileNetV2 reached about 80 percent validation accuracy on the documented split.

  • Python
  • TensorFlow
  • Keras
  • MobileNetV2
  • scikit-learn
  • Matplotlib
  • Seaborn
Applied AI & coursework
Sentiment Analyzer dashboard with review totals, sentiment counts, and topic filters.

SASentiment Analyzer

Sentiment Analyzer is an Iowa State project organizing 75 sample restaurant reviews by sentiment and topic.

I built the single-page interface and Chart.js visualizations using the documented Excel, ChatGPT, and Claude classification workflow.

  • HTML
  • CSS
  • JavaScript
  • Chart.js
  • Excel
  • ChatGPT
  • Claude
Biswas Workbench

Parable

Photos

Résumé

Books

Books I keep returning to

My favorites come first, followed by the Kafka and Dostoevsky collections and the rest of my reading shelf. Select any cover to open my note.

Cover images are served locally from Open Library and verified edition listings.

Music

Workbench TonesStopped

Three original synthesized tracks with a quiet office room bed. Sound starts only after you turn it on or press Play.

Contact Biswas

Send a note to my inbox, or use the direct links below.