Selected engineering work

Production engineering at VdoCipher, followed by personal projects exploring document retrieval and AI interaction.

Professional work · 2019–2025

VdoCipher: Faster search and frontend builds

Problem: Customers needed faster search, while developers needed shorter feedback loops when changing the frontend.
My work: Built distributed search with PostgreSQL and OpenSearch, and moved the frontend build from Webpack to Vite.
Result: Search response time fell from 2–3 seconds to about 200 ms, database CPU use fell by 40%, and frontend build times fell by 90%.

React · TypeScript · PostgreSQL · OpenSearch · Vite

Personal project · Document Q&A

Problem: Document answers need to be useful and verifiable. A fluent response alone does not show where the information came from.
My work: Built a PDF and URL ingestion pipeline: extract content, split it into chunks, embed it, and store it in pgvector. Added streamed answers, clickable source citations, feedback-based chunk quality scores, and an admin dashboard.
Result: The MVP supports document upload, source-linked answers, and monitoring of feedback and retrieval gaps.

Recorded demonstration from the project repository. Try the live demo below.

Next.js · TypeScript · Supabase PostgreSQL · pgvector · OpenAI

Personal prototype · AI group chat

Problem: An AI that answers every message interrupts a group conversation. Useful participation requires deciding when a response is warranted.
My work: Built a two-stage flow: a lightweight relevance classifier decides whether to respond, then a separate model streams the answer. A context panel extracts decisions, tasks, budget items, and links, with references back to source messages.
Result: The prototype demonstrates selective AI replies, streaming, room-level settings, and a guided group conversation.

Next.js · TypeScript · Vercel AI SDK · OpenAI · SSE