ARCHITECTURE
Data Sources
Slack, Notion, Drive, Email
Ingestion Pipeline
Semantic chunking & embedding
Vector Store
Supabase pgvector
RAG Engine
Contextual retrieval + LLM
PRODUCT GALLERY
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MY ROLE
Co-Founder & Engineer
Led technical architecture decisions and full-stack implementation from day one.
Data Pipeline Design
Built semantic data pipelines that transform fragmented enterprise knowledge into unified, queryable vectors.
RAG Architecture
Architected retrieval-augmented generation search interfaces for contextual, accurate answers.
Multi-Source Integration
Designed the knowledge base integration layer supporting multiple enterprise data connectors.
TECH STACK
FRONTEND
- Next.js 15
- TypeScript
- Tailwind CSS
- Framer Motion
BACKEND
- Supabase
- PostgreSQL
- pgvector
- Edge Functions
AI / ML
- OpenAI API
- RAG Pipeline
- Semantic Embeddings
- Vector Search