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Things I've built, from deployment infrastructure to AI-powered tools.

Shipyard

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Feb 2026 — Mar 2026

A multi-tenant deployment platform that automatically builds and serves static sites on isolated subdomains, featuring real-time build log streaming and a 60% reduction in deployment latency through asynchronous BullMQ pipelines.

  • Reduced deployment latency by 60% using asynchronous BullMQ and Redis pipelines with background job scheduling and distributed workers
  • Implemented real-time build log streaming with Redis Pub/Sub and Server-Sent Events (SSE)
  • Built full multi-tenant isolation, serving each project on its own subdomain through Docker containers
TypeScriptNode.jsBullMQRedisDockerNext.jsS3

ContractIQ

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Mar 2026

An AI-powered contract risk analysis platform that enables users to upload legal documents and receive instant clause extraction, risk scoring, and negotiation suggestions using Google Gemini and structured JSON outputs.

  • Built a shared TypeScript schema layer across frontend and backend using a Turborepo monorepo and Zod validation for end-to-end type safety
  • Developed a drag-and-drop document analysis dashboard with clause filtering, risk scoring, and negotiation recommendations
  • Integrated Google Gemini for structured JSON-based clause extraction with predictable and validated outputs
TypeScriptGemini APINext.jsExpressZodTurborepo

Transcribe Mate

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Nov 2025

A high-accuracy speech transcription platform with LLM-powered post-processing, achieving 92% accuracy through inference optimization and multilingual tuning using Faster Whisper and Gemini-based cleanup.

  • Achieved 92% transcription accuracy through inference optimization and multilingual tuning with Faster Whisper
  • Integrated Gemini-powered post-processing to reduce filler noise while preserving speaker context across multiple languages
  • Reduced deployment setup time by 50% by containerizing inference and cleanup services with Docker
Faster WhisperGeminiFastAPIDockerNext.jsPython

LifeLens

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Aug 2025 - Oct 2025

A personal media intelligence platform that enables semantic search across images, documents, and audio through a RAG-based retrieval pipeline and automated AI analysis.

  • Built a RAG-based retrieval pipeline using pgvector embeddings and FastAPI to enable semantic search across personal media collections
  • Implemented AI-powered processing pipelines for images, documents, and audio using Google Gemini, OCR, and speech transcription
  • Reduced media analysis wait times through asynchronous processing with Celery workers and Redis task queues
FastAPIPostgreSQLpgvectorRedisDockerReactTypeScript