Tamar F.

Responsibilities:

• Persona Ingestion & Embedding: Built a CLI and Persona-to-Vector service to batch-insert personas into PostgreSQL table, generating semantic embeddings with OpenAI embedding-3-small model and storing them via pgvector transactionally.

• Persona Search & Filtering: Developed the Persona Search MCP service that receives persona-specific queries from the orchestrator, performs semantic search with SQL filters, and applies relaxed filtering to ensure results.

• Semantic Caching & Optimization: Implemented a Redis-based semantic cache to return results for similar persona descriptions, reducing processing time for LLM-driven vector search.

• Orchestrator (Initial Implementation): Developed the first version of the orchestrator using an LLM MCP client to coordinate test workflows across microservices, handling server sequencing, argument mapping, and returning results; later refined by other team members.

• Extended Logging Infrastructure: Enhanced FastMCP’s context class to save critical logs to configurable files with rotation, improving traceability and observability across services.