Description

Hi! I’m Ramses an AI engineer who builds production RAG and agentic systems that turn a company’s own documents and processes into real, working tools.

Previously at Celonis, I delivered customer-facing AI and automation across enterprise accounts in EMEA and North America. I built a RAG-powered search assistant on Azure and a predictive planning system that won the company’s Innovation of the Quarter award. That work taught me how to take an AI idea from a rough business problem all the way to something deployed, reliable, and actually used.

What I do: RAG pipelines, LLM tool-calling and AI agents, workflow automation, and API integrations — mostly in Python and FastAPI, with OpenAI, Anthropic and Mistral models. I’m especially drawn to optimizing business processes: cutting manual work, making internal knowledge searchable, and shipping prototypes fast.

I work in a scope → prototype → deploy rhythm, and I care about being technically honest about what AI can and can’t do for you.

I can help you with: document Q&A assistants, internal search tools, agentic workflows, automation, and AI proof-of-concepts.

Languages

English
Native or bilingual
Spanish
Native or bilingual
Italian
Fluent
French
Basic

Workplace preferences

Can work on-site

Madrid (up to 50km)

CELONIS
AI and Process Optimization Consultant
September 2024 - February 2026 (1 year and 5 months)
Madrid, Spain
• • Built and deployed AI-driven solutions for world-leading logistics clients. Defined the MVP for a predictive shipment planner and material restocking optimizer and conducted pilot testing across 3 warehouses (1M+ shipments), earning Celonis' Innovation of the Quarter award for impact and technical excellence.
• • Designed and delivered end-to-end Celonis implementations translating complex customer requirements into data architectures and process optimization solutions for enterprise clients across EMEA and NAM.
• • Led the enhancement and company-wide rollout of an internal migration tool, automating ETL processes and reducing manual migration time from several weeks to ~3 days. Validated the solution by conducting ~10 successful customer pilot migrations.
• • Collaborated cross-functionally with the Business Analytics team to extend the API of their internal analytics tool with new data extraction modules, and with the Academy team to design and deliver AI enablements for 30+ customers and partners.
Celonis SE
Data Scientist (Tiger Team, Internal AI & Automation)
SOFTWARE PUBLISHING
July 2023 - August 2024 (1 year and 1 month)
• • Shipped an RAG-powered search assistant end-to-end on Azure — owned user discovery with the Value Engineer team, RAG pipeline design, prompt engineering, and deployment. Reduced information retrieval time from hours to seconds.
• • Built a customer-facing application for flagship accounts to monitor large-scale automation flows, extending platform functionality with custom FastAPI endpoints for real-time data retrieval and monitoring.
• • Automated internal synthetic data generation workflow, cutting Solution Engineers' manual effort by 2+ hours per run through a Python script.