yeray@portfolio:~$ cat about.md

Yeray Díaz Rodríguez

Product engineer with 10+ years of full-stack experience, evolving into AI engineering. Currently at MongoDB, where I own a public-facing pricing tool and built a working MCP server that enables AI agents to query and recommend Atlas pricing. Deep expertise in TypeScript, Python, React, and cloud infrastructure — now channeled into building AI-powered developer tools and agent systems.

[ GitHub ][ LinkedIn ][ Email ][ Blog ]📍 Madrid, Spain (Remote)

$ ./

ai_chat

yeray-ai — ask me anything about Yeray's experience● ONLINE

> AI assistant ready. Ask me anything about Yeray.

$ ls ./

experience

Senior Engineer

@ MongoDBSept 2024 – Present

Led end-to-end delivery of Public Atlas Pricing Calculator — large-scale, public-facing full-stack app
Built MCP server prototype enabling AI agents to query Atlas pricing; authored RFC with Senior PM sponsorship
Delivered Enterprise APC PoC in 1 week — feature with multi-million dollar revenue potential
Pioneered load testing and prerendering strategies, setting team performance benchmarks
Force multiplier across teams — guided integrations, mentored engineers, collaborated with Product, Marketing, Security & Analytics

TypeScriptTanStack StartReactMongoDBMCPOpenAI API

Software Engineer L3

@ MongoDBJan 2023 – Aug 2024

First engineer on Atlas Pricing Calculator — became go-to technical reference, rated "Consistently exceeds"
Architected 10x backend performance improvement via caching layers and ahead-of-time computation
Led Tiered Subscription pricing and Multi-region/Multi-cloud calculator — scoped, presented to PM, shipped to prod
Set up Sentry monitoring, resolved 17 issues — earned "the overachiever" recognition
Acted as de facto Product Manager while PM was out; contributed to Cloud API (2nd in department)

TypeScriptReactNode.jsMongoDBKubernetesDocker

Full-stack Developer

@ Universia — Santander GroupJan 2019 – Dec 2022

Built Universia Jobs portal from scratch (Angular 7, Universal SSR, ngrx, i18n) — coordinated 8-developer front-end team
Backend: DDD microservices with Django REST + Nest.js, CQRS (PostgreSQL writes, Elasticsearch reads), gRPC
Built real-time analytics system with Kafka + Elasticsearch; designed ETL pipelines in Python
SRE: Kubernetes orchestration, pod optimization, Grafana monitoring, Graylog log management

AngularDjangoNest.jsPostgreSQLElasticsearchKafkaKubernetes