AI Automation Engineer and GTM Engineer. I build automation and AI systems for the revenue engine: enrichment pipelines, lead scoring and routing, outbound sequencing, and the agents that make account research and personalization work per prospect instead of per template.
Economist turned engineer. I was doing GTM engineering before it had a name: outbound campaigns and lead generation systems built in Python and low-code at Debmedia and Acceleanation. Then two years at Conversion Logix, a US marketing agency, remote and in English, where I shipped 10+ operational automations, an agentic QA system and a BI suite that together gave back 60+ hours a week.
The economist part is not decoration. It is why I care about the number at the end of the workflow more than about the workflow. I spent two years on the cost side, measuring hours given back. I am now pointed at the revenue side: pipeline, reply rates and meetings booked.
What I actually build:
Outbound and pipeline systems. Multi-source enrichment, deduplication and normalization, ICP and account scoring, lead routing and speed-to-lead. Sequences where the account research and the message are generated per prospect, not per template.
Agentic workflows that survive production. At Conversion Logix I built a hybrid QA agent for campaign launches that took over roughly 26 hrs/week of manual review: the LLM interprets brief and setup, deterministic code enforces the rules through function calling. Also a Slack assistant over internal documentation, parent-child RAG with permission-aware retrieval (n8n, Pinecone, Gemini).
The data spine underneath. Python, JavaScript and SQL for the pipelines, HubSpot, GA4 and Google Tag Manager for the tracking layer, Power BI and Looker Studio for dashboards executives actually open. Company-wide data audits, because if the CRM is not trustworthy, nothing built on top of it is.
Stack: n8n (advanced), Python, JavaScript, Google Apps Script, REST APIs and webhooks, HubSpot, GA4, Google Tag Manager, SQL, RAG (Pinecone, Gemini, LangChain), AI agents, Power BI, Looker Studio, Odoo.
Automation and AI engineering for clients: API integrations, data pipelines, agentic workflows and internal tooling, including a production scraping and data extraction pipeline.
Currently going deeper into the go-to-market side of the same stack: enrichment, account research agents and outbound infrastructure.
Remote from Argentina, US hours, in English.
- Agentic QA for campaign launches: the LLM interprets brief and setup, deterministic code enforces the rules through function calling. Took over ~26 hrs/week of manual review.
- 10+ operational automations across media operations, client reporting and internal ops, giving back 40+ hrs/week through 2025. Integrations: GA4, Google Tag Manager, Odoo, Google Workspace, Slack.
- Slack assistant over internal documentation: parent-child RAG with metadata-based access control (n8n, Pinecone, Gemini) and automated ingestion from Google Drive.
- Capacity forecasting BI suite integrating Odoo, Google Calendar API, Slack and Toggl.
- Company-wide data audits and analytics hygiene (GA4, Google Tag Manager).
- Trained a 20-person operations team on LLM mechanics and prompt engineering. Completed the year-long Emerging Leaders Program (2025).
- Built and ran outbound campaigns end to end with Python and low-code: prospect sourcing and LinkedIn automation (PhantomBuster), sequencing and CRM sync (Zapier, Odoo CRM).
- Developed and deployed chatbots and NLP solutions using RAG. Python with vector databases (Neon/pgvector, Pinecone, Chroma), OpenAI models, LangChain and LlamaIndex.
- Built and coached the outbound process for lead generation: sourcing, sequencing and CRM workflows in HubSpot, automated with Python and PhantomBuster/Zapier.
- Developed Python ETL software feeding a cloud Postgres database through APIs, centralizing data from multiple systems.
- Built dashboards in Power BI and Looker Studio that drove marketing, management and operations decisions, including campaign budget allocation across channels.
Bachelor's Degree, Economics
BA in Economics. Exchange program in Economics at Nova School of Business and Economics, Lisbon (2020).
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