Building Systems That Think
Fast at Scale
From GPU inference on financial streams to mobile architecture at scale — systems built to last under load
AI & Data Engineer
Mobile Architect (Flutter)
Fullstack Developer
The Royal Deck — each project is a playing card in the kingdom
Lydia Agent
Local-first AI teammate: persistent memory, skills, sandboxed subagents. Runs on your machine.
!Scarlet
Event-driven wildfire monitoring for Bolivia — satellite telemetry, Golang, gRPC, K8s, PostGIS.
Arquant GPU Inference
GPU inference across RTX A6000 nodes + StarRocks/ES OLAP for sub-second financial queries.
Behind every reliable system is a clear architecture
I design and implement systems that process data at scale: high-volume financial pipelines, low-latency GPU inference, and local AI agents. I specialize in Golang, Python and CUDA, with production-ready Kubernetes infrastructure. From Cochabamba to the world — remote-first.
Bachelor in Systems Engineering — Universidad Franz Tamayo02/2022 – 08/2026
[email protected]Shipping production systems for finance, mobile products, and open-source AI tooling
Scope & Constraints
I clarify objectives, latency, data volume and infrastructure limits before writing code.
Architecture & Contracts
I design APIs, data flows and service boundaries — gRPC, events, storage and K8s topology.
Build & Iterate
I implement in short verticals: pipeline, inference, observability. Metrics from day one.
Harden & Ship
Load tests, GitOps, runbooks. I leave the system operable and documented for the team.
01
Unihackz 2024 — Hackathon
02
Unihackz 2023 — Hackathon
03
Cisco — Endpoint Security
04
Cisco — Networking Devices & Initial Configuration
AI systems engineering: distributed backends, GPU inference, data pipelines, AI agents, and production Kubernetes. Also Flutter architecture when the product needs it.