Building complete products, from rough idea to real release.

A local-first AI reader that turns text, PDFs, EPUBs, and articles into synchronized audio on macOS and the web.

Challenge

Turn structurally different text, PDF, EPUB, and web content into one responsive read-along experience while running speech generation privately on the reader's device.

Responsibility

Sole designer and engineer. Built the shared reader engine, web and desktop applications, local inference backend, storage integrations, testing systems, packaging, and release pipeline.

Outcome

A live local-first product built independently from end to end, with private offline generation, synchronized word highlighting, project persistence, media export, and shared experiences across macOS and the browser.

2

Desktop + web apps

Local

Private AI inference

Solo

Built end to end

• React
• TypeScript
• Tauri

A Rust CLI and library that keeps Polkadot SDK dependencies aligned with published releases.

Challenge

Polkadot SDK projects depend on many crates that move together, making manual version alignment slow and error-prone.

Responsibility

Original creator, Rust engineer, and maintainer within the Parity Technologies repository.

Outcome

Adopted within the Parity and Polkadot ecosystem, with an active public repository and library interface.

59

GitHub stars

13

Forks

76

Commits

• Rust
• Polkadot SDK
• Cargo

A zero-knowledge DEX prototype for atomic swaps and liquidity between Aleo and XDC or other EVM-compatible chains.

Challenge

Move value across different blockchain environments without introducing a trusted bridge operator.

Responsibility

Protocol and full-stack development in a four-person hackathon team.

Outcome

Won four ETHBarcelona prize tracks totaling more than $12,000, alongside 403 community votes and a $1,537 quadratic-voting match.

$12K+

Prize total

4

Winning prizes

403

Community votes

• Aleo
• Solidity
• Zero knowledge

A secure lead-intelligence platform that turns large publisher-domain datasets into qualified, review-ready outreach and CRM opportunities for ad networks.

Challenge

Coordinate slow and rate-limited enrichment providers, long-running background jobs, imperfect company and contact data, paid lookups, AI drafting, and human approval without losing workflow state or blocking the interface.

Responsibility

Product design and full-stack architecture across the review interface, durable workflow state, background processing, provider coordination, data normalization, security controls, AI-assisted drafting, and CRM integration.

Outcome

A recoverable lead-operations system that reduces manual research while preserving control over data quality, paid enrichment usage, generated messaging, duplicate handling, and CRM synchronization.

7

Persisted workflow stages

BullMQ

Durable job processing

2-step

CRM approval gate

• Next.js
• PostgreSQL
• Drizzle