Software Engineer · Distributed Systems & Machine Learning
Sixteen years of software and infrastructure engineering. I co-founded a technology company and led it as CTO, shipping an ERP product adopted by ~25 companies; today I run my own ERP in Go with two customers in production. Eight years of R&D on the compute, networking and data layers of a cloud platform. Now moving into machine learning — models trained from scratch, attention written by hand to match PyTorch, and an LLM assistant with guardrails and an evaluation bank inside a real product.
Three things I can show, explain and defend line by line.
Invoicing, stock, customers and reporting for small businesses in Paraguay. Go and gRPC behind Envoy, CockroachDB, a Next.js dashboard. Two customers in production; 700+ Go tests, end-to-end suites and CI. It ships an LLM assistant with ten tools, a control leash, a per-question audit ledger, hard spend caps and a 27-case evaluation bank run against three models.
chipaerp.com →For an investment firm serving European clients: KYC, document custody and GDPR data-subject rights. Go and gRPC on GCP (Cloud Run, Cloud SQL) with KMS envelope encryption, TOTP 2FA, four-eyes approvals and end-to-end OpenTelemetry tracing. Delivered in about four weeks.
A CNN image classifier trained on a dataset I captured myself — dumb baseline measured first, time-based split so nothing leaks. Multi-head attention written by hand and verified identical to PyTorch's. A DQN agent on Atari Pong. The classifier served over FastAPI with a parity check against the training script. It's a short track record and I'd rather say so plainly; what I bring alongside it is the engineering.
Available for remote contract and freelance work, and open to full-time remote roles with teams in Europe and the US. My timezone (UTC-3, Paraguay) overlaps well with European working hours.