Hey there! I’m JP — a senior engineer turned agentic engineer, builder, and entrepreneur. After 13+ years building scalable backend systems, I’m now focused on building autonomous AI systems that handle real-world tasks end-to-end.
I hold a Master’s in Computer Science and am currently studying Economics. I’m driven by the development of PoCs, MVPs, and R&D environments — always learning. The shift from backend to agentic AI wasn’t a pivot; it was a natural evolution of the same instinct: build systems that do useful work reliably, at scale.
What I’m Doing Now
Lead Engineer, Helixia — Responsible for the architecture and end-to-end development of Helixia’s agentic automation platform. I work on integrations with customer systems, enable omnichannel agent deployment, and build real-time data access and intuitive configuration tools so AI agents can handle inquiries, quotes, and orders autonomously.
Independent Contractor, Lemon.io — Collaborating on cutting-edge AI-driven systems through a platform that vets the top 1% of engineers — from designing chat-based agent platforms to automating large-scale workflows. I leverage OpenAI Agent SDK and LangGraph to orchestrate multi-agent, cloud-native solutions, and architect fully automated AWS infrastructure from the ground up.
Recent Ventures
Spectra (Co-Founder, 2024) — Co-founded an AI-powered news aggregator utilizing vector embeddings and LLMs to enhance the reading experience. Granted a national fund for business model validation.
Overlap (Co-Founder, 2024) — Co-founded a software agency specializing in experience-first solutions. Architected, designed, and developed AI-driven projects.
Earlier Experience
Senior Backend Engineer, marco — Shaped the technological roadmap, designed scalable backend solutions, mentored the team, and spearheaded an AI-powered document preprocessing tool. Python, Django, PostgreSQL, DynamoDB, Redis, AWS.
Full Stack Developer, eXpand (7+ years) — Core module of a multi-channel contact center system. Python, Flask, Celery, Redis, MongoDB, TypeScript, Angular.
Research Assistant, UDELAR — Energy consumption analysis, public transportation accessibility, and teaching assistant for scientific writing.
My Tech Toolkit
AI & Agents: OpenAI Agent SDK, LangGraph, Claude/Anthropic APIs, vector embeddings, semantic search, LLM orchestration
Backend: Python, Node.js, Django, Flask, Celery, Redis, PostgreSQL, DynamoDB, MongoDB
Frontend: React, Next.js, TypeScript, Angular
Cloud & Infra: AWS (certified), cloud-native architectures, automated infrastructure
Data Science: Pandas, Dask, Numpy
Honors & Publications
MSc in Computer Science, PEDECIBA — 1st Place, Best Thesis Award by the National Academy of Engineering of Uruguay (ANIU), 2023.
Publications:
- ECD-UY, detailed household electricity consumption dataset of Uruguay — Springer Nature, 2022
- Nonintrusive energy disaggregation by detecting similarities in consumption patterns — REDIN, 2020
- More on Google Scholar and ResearchGate
Beyond the Code
When I’m not building, you might find me analyzing economic trends, exploring new tech tools, or studying economics at UDELAR (expected 2026). If you’re passionate about AI, economics, or building things that matter, let’s connect!