Vector Database Consultant
Vector databases are not interchangeable plumbing. The right setup depends on your documents, latency target, filtering needs, update frequency, cost constraints, and evaluation approach. I help teams choose, implement, and tune vector search for production RAG and semantic search systems.
What I can help with
- Vector database selection and architecture
- Embedding model and chunking strategy
- Metadata filtering, hybrid search, and reranking
- Retrieval evaluation and relevance tuning
- Migration from prototype indexes to production infrastructure
Why work with me
Remote-first, worldwide
Fully remote delivery with clients across the US, Europe, and Asia — async-friendly and outcome-focused.
Timezone overlap
Based in Islamabad (PKT), with working-hours overlap into both US and European mornings/evenings.
Fixed-price clarity
Scoped proposals with clear deliverables and timelines — no open-ended retainers required to start.
Fast, senior delivery
Direct work with one experienced engineer — no account managers, no hand-offs, working software each sprint.
Relevant services
Frequently asked questions
Which vector database should we use?
Can vector search work with keyword search?
Let's talk about your project
Tell me what you're working on and I'll come back with ideas, a scope, and next steps — usually within 24 hours. Free discovery call, no commitment.