edition / 01/26

selected work / notes / experiments

Full-stack engineer / product, systems, and tooling

Full-stack products, thoughtful developer experience, and systems that solve real problems.

I like work that has to make sense from both sides: useful at the surface, disciplined underneath. Lately that has meant learning tools, privacy-preserving systems, applied machine learning, verification pipelines, and occasional hardware work that keeps me honest.

  • currently Computer engineering student / building in public
  • working across Learning tools, privacy-preserving software, verification work, and applied ML.
  • on github shuv-amp ↗
  • open to Open to internships, collaborations, and teams that care about depth, clarity, and good judgment.

selected work

2025

Full-stack product engineering

TestLoom

An exam-prep platform that turns scattered study material into a more usable learning system with OCR, adaptive practice, and collaborative tools.

  • Nuxt 3
  • Vue 3
  • Express 5
  • Node.js
  • MongoDB
  • TypeScript
  • Tailwind CSS

2025-26

Privacy systems / full-stack build

ZK Guardian

A privacy-first healthcare prototype exploring zero-knowledge consent verification for FHIR workflows without exposing patient identity on-chain.

  • TypeScript
  • React Native
  • Expo
  • Node.js
  • Express
  • Circom
  • Solidity
  • Polygon Amoy
  • FHIR R4

2025-26

Computer architecture / verification

AXIOM-4

A 4-bit RISC-inspired microprocessor with banked memory, a custom ISA, and a verification workflow built in public.

  • Verilog 2005
  • Icarus Verilog
  • GTKWave
  • Python

writing

what stays consistent

The domains change. The instinct stays the same: understand the problem fully, shape the product with restraint, and make the engineering hold up after launch.

Note 01

Make the product easy to trust before trying to make it impressive.

Note 02

Let the architecture do the heavy lifting quietly.

Note 03

Keep choosing work that stretches judgment, not just output.