Teams scaling semantic search and enterprise RAG applications beyond a few thousand documents frequently search to hire a freelance vector database programmer specializing in PostgreSQL pgvector, Qdrant, Pinecone, Weaviate, and Milvus. I am Aldian Fazrihady, a Senior Freelance AI Application Engineer and Database Architect.
Core Vector Database & Hybrid Search Capabilities
- HNSW & IVFFlat Index Tuning: Optimizing `m`, `ef_construction`, and `ef_search` parameters alongside scalar/binary quantization to achieve sub-20ms p99 vector retrieval at million-vector scale while cutting RAM consumption by 75%.
- Multi-Tenant Metadata Filtering: Designing strict tenant-isolated partitioning and pre-filtering indexes so enterprise RAG queries never leak cross-tenant embeddings.
- Reciprocal Rank Fusion (RRF) & Reranking: Combining dense embeddings (`text-embedding-3-large`, `voyage-3`, `BGE-M3`) with sparse BM25 lexical search and Cohere/BGE cross-encoder rerankers.
Frequently Asked Questions
Can a freelance programmer migrate us from Pinecone to PostgreSQL pgvector or Qdrant?
Yes. I execute zero-downtime vector migrations into PostgreSQL `pgvector` (`halfvec` HNSW indexes) or Qdrant to unify transactional and vector data while dramatically lowering monthly infrastructure bills.
How do I hire you for vector database engineering?
Message me on Upwork or email mobile@aldianfazrihady.com.