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Tamar F.
Bio
Software developer with a strong analytical mindset, rapid self-learning ability, and keen interest in backend development, data, and AI agents. Detail-oriented and skilled in debugging.
Skills
Python
PostgreSQL
Docker
Redis
pgVector
RAG
MCP(fastmcp)
Bootcamp Project
An automated testing and verification framework for "plan builder" products
Mentored by: FineALGs
Data Science Bootcamp 2025 (Data)
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.
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Additional Projects
Business Management Platform (Self Project)
Developed a web application for self-service providers to manage appointments, users, and settings via an admin dashboard. Users can book appointments choosing service, date, and time, with smart suggestions for availability and a waitlist system for busy periods. Built with Node.js (NestJS), React, TypeScript, PostgreSQL, Prisma, and JWT authentication; planned future features include payment integration and email notifications.
English Level
Fluent