Fernando Carril - AI Full-Stack Engineer at Stealth AI Startup

Fernando Carril

AI Full-Stack Engineer at Stealth AI Startup

Barcelona, Catalonia, Spain

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Summary

🤩

Rockstar

🎓

Top School

Fernando Carril is an AI Full-Stack Engineer with 14+ years of experience building end-to-end web products, specializing in TypeScript/React frontends and Node.js backends while ramping into Go and Rust for production systems. He’s shipped LLM-powered features, evaluation and observability tooling—leading the open-source Opik frontend and crafting SDKs and integrations used to debug and monitor RAG/agent workflows. Comfortable in remote, async environments across US/EU startups, he has scaled frontend teams and owned architecture, product delivery, and developer-facing UX that teams actually adopt. Fernando excels at real-time, data-heavy UIs, performance work, and developer SDKs, and he integrates AI-assisted coding (Claude Code) into his engineering loop to speed delivery. Current focus is on deploying LLM agents in production with Vercel AI SDK and building measurable AI-native products as a Staff-level FE / Full-Stack engineer. Based in Barcelona, he combines hands-on implementation with cross-functional leadership and a track record of turning evaluation and tracing needs into production-ready dashboards.

14 years of coding experience

14 years of employment as a software developer

Computer Systems Analyst Computer Systems Analysis/Analyst, Computer Systems Analyst Computer Systems Analysis/Analyst at ORT Institute

Electronic Technician Industrial Electronics Technology/Technician, Electronic Technician Industrial Electronics Technology/Technician at Technical High School Nº9 of Lanús

Computer Engineering Computer Engineering, Computer Engineering Computer Engineering at Universidad del CEMA

Spanish, English

Github Skills (12)

uid10

typescript10

javascript10

typescripts10

front-end-development10

ui-design10

react10

typescript-types10

html9

css9

llm8

langchain8

Programming languages (6)

TypeScriptJavaScriptGoPHPHTMLPython

Github contributions (5)

comet-ml/opik

Jun 2023 - Feb 2025

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Role in this project:

Front-end Developer

Contributions:209 reviews, 262 PRs, 256 pushes in 1 year 8 months

Contributions summary:Fernando primarily focused on front-end development tasks, making significant changes to the user interface and application layout. They modified the "Get Started" page layout and added new UI components for displaying dataset item counts and for handling trace limits. The user also addressed image handling by truncating base64 images and enabling their display within the application. Furthermore, the user removed colab links from the quickstart in the sagemaker integration, modifying the quickstart page.

langchainllama-indexllmllm-evaluationllm-observability

ferc/chat

Jan 2019 - Feb 2019

Contributions:9 pushes in 25 days

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