← Back home

All Projects

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

Shipyard

Github Icon

Feb 2026 — Mar 2026

A multi-tenant deployment platform that automatically builds and serves static sites on isolated subdomains — with real-time build log streaming and a 60% reduction in deployment latency via async BullMQ pipelines.

  • Reduced deployment latency by 60% via async build pipeline using BullMQ and Redis with background job scheduling and distributed worker execution
  • Real-time build log streaming using Redis Pub/Sub and Server-Sent Events (SSE)
  • Full multi-tenant isolation — each project served on its own subdomain from Docker containers
TypeScriptNode.jsBullMQRedisDockerNext.jsS3

ContractIQ

Github Icon

Mar 2026

AI-powered contract risk analysis — drag-and-drop legal docs, get instant clause extraction, risk scoring, and negotiation suggestions powered by Google Gemini with structured JSON outputs.

  • Shared TypeScript schema layer across frontend and backend via Turborepo monorepo + Zod validation for type-safe pipelines
  • Drag-and-drop document analysis dashboard with clause filtering, risk scoring and negotiation suggestions
  • Google Gemini integration for structured JSON clause extraction with predictable, validated outputs
TypeScriptGemini APINext.jsExpressZodTurborepo

Transcribe Mate

Github Icon

Nov 2025

High-accuracy speech transcription service with LLM-based post-processing — 92% accuracy through inference optimization and multilingual tuning using Faster Whisper, with Gemini-powered cleanup.

  • 92% transcription accuracy via inference optimization and multilingual tuning with Faster Whisper
  • Gemini-powered post-processing to reduce filler noise and preserve speaker context across languages
  • Reduced deployment setup time by 50% through Docker containerization of inference and cleaning services
Faster WhisperGeminiFastAPIDockerNext.jsPython

LifeLens

Github Icon

Aug 2025 — Oct 2025

A personal media intelligence platform with semantic search across images, documents, and audio — powered by a RAG-based retrieval pipeline and automated AI analysis.

  • Enabled semantic search across personal media collections by building a RAG-based retrieval pipeline using pgvector embeddings and FastAPI APIs.
  • Automated multi-format media analysis (images, documents, audio) by implementing AI processing pipelines with Google Gemini, OCR and speech transcription.
  • Reduced user wait times for media analysis by implementing asynchronous processing with Celery workers and Redis task queues.
FastAPIPostgreSQLpgvectorRedisDockerReactTypeScript