r
rodrigobytecore

Rodrigo Torres

@rodrigobytecore

AI Engineer: RAG, Agents and MCP

Peru
Inglês, Espanhol
Algumas informações são exibidas no idioma inglês.
Sobre mim
I build LLM systems that keep working after the demo: hybrid RAG with measured retrieval quality, LangGraph agents with explicit control flow, and MCP servers. Production LLM work across four shipped products on OpenAI, Anthropic and Gemini. Full-stack in TypeScript, React, Next.js, Python and FastAPI, plus FlutterFlow for mobile and n8n for automation. Founder of Árkos: 50+ projects for 45+ clients since 2020. My work is public and auditable at github.com/RodrigoFK06/PrecioVivo. Two Anthropic certifications (2026).... Saiba mais

Habilidades

r
rodrigobytecore
Rodrigo Torres
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Desenvolvimento Multiplataforma
I will build your mobile app mvp with flutterflow
A partir deUS$ 180 /projetoMais detalhes
Aplicativos GPT personalizados
I will build an ai chatbot with rag over your documents
A partir deUS$ 120 /projetoMais detalhes

Portfólio

Experiência profissional

Self_Employed

Co-founder & Lead Engineer

Self Employed • Autônomo

Jan 2026 - Present • 7 mos

Restaurant ERP and POS. 49 backend modules, 130 screens, 2,371 automated tests, 5 locations live and 500 transactions a day. Offline-first architecture with idempotent reconciliation, four payment providers and electronic invoicing.

Fieldin

Product Manager

Fieldin • Autônomo

Nov 2024 - Present • 1 yr 9 mos

CRM and ERP for a field services company: work orders, technicians, inventory, accounts, payments and tax-authority integration. 650 work orders per month, 15 active users, order closing time down 45%.

Enterprise_Resource Planning Software

Founder & Principal Consultant

Enterprise Resource Planning Software • Autônomo

Jan 2020 - Present • 6 yrs 7 mos

Software consultancy in Peru. 50+ projects delivered for 45+ clients across Peru, Latin America, the US and Europe. I own architecture, delivery and the client relationship. Recent focus is applied AI: LLM integrations in production, hybrid RAG with measured retrieval quality, LangGraph agents and MCP servers.