Cochabamba, BO · --:--
AI Systems Engineer

Building Systems That Think Fast at Scale

AI Systems Engineer with ~4 years building distributed backends, GPU inference and high-performance data pipelines.
Years Building Systems
0+
Production Deployments
0+

From GPU inference on financial streams to mobile architecture at scale — systems built to last under load

Arquant Argentina

AI & Data Engineer

Aug 2025 – Present
Purple MangoCorp

Mobile Architect (Flutter)

Apr 2023 – Present
Freelance

Fullstack Developer

Feb 2022 – Present
Featured Works

The Royal Deck — each project is a playing card in the kingdom

2025 – Present
AI Agent · Open Source CLI

Lydia Agent

Local-first AI teammate: persistent memory, skills, sandboxed subagents. Runs on your machine.

2024 – Present
Distributed Systems · Geospatial

!Scarlet

Event-driven wildfire monitoring for Bolivia — satellite telemetry, Golang, gRPC, K8s, PostGIS.

2025 – Present
AI Systems · Financial Data

Arquant GPU Inference

GPU inference across RTX A6000 nodes + StarRocks/ES OLAP for sub-second financial queries.

GPU-accelerated inference pipelines
LLM / TensorFlow model deployment
AI agents & automation workflows
Available Remote Worldwide
Contact me
About Me

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]

Golang

Concurrent backends and distributed systems

Python

ML, data pipelines and AI tooling

CUDA

Parallel algorithms and GPU inference

Kubernetes

Orchestration, GitOps and ArgoCD

TensorFlow

Models and inference deployment

StarRocks

Sub-second OLAP analytics

PostgreSQL

Relational data and PostGIS

Flutter

Cross-platform mobile at scale

Shipping production systems for finance, mobile products, and open-source AI tooling

ARQUANT
MANGO
K8S
CUDA
GITHUB
Step 1

Scope & Constraints

I clarify objectives, latency, data volume and infrastructure limits before writing code.

Step 2

Architecture & Contracts

I design APIs, data flows and service boundaries — gRPC, events, storage and K8s topology.

Step 3

Build & Iterate

I implement in short verticals: pipeline, inference, observability. Metrics from day one.

Step 4

Harden & Ship

Load tests, GitOps, runbooks. I leave the system operable and documented for the team.

01

Unihackz 2024 — Hackathon

01/2024
02

Unihackz 2023 — Hackathon

01/2023
03

Cisco — Endpoint Security

04/2025
04

Cisco — Networking Devices & Initial Configuration

11/2024

Engagement

Consulting

Architecture reviews, performance debugging, short-term systems work.
$65
/ hour
Architecture & design reviews
GPU / pipeline performance audits
Kubernetes & GitOps guidance
Remote collaboration
Business days availability
Async updates via Git / docs
Get Started
Custom Quote

AI systems engineering: distributed backends, GPU inference, data pipelines, AI agents, and production Kubernetes. Also Flutter architecture when the product needs it.

Do you have any other questions?
Ask me directly

News from the Workshop

One email only when something real ships: Alice, !Scarlet, open-source releases. No noise, no weekly digest.

Contact

Contact For
Systems Work

By Royal Decree — present your proposal to the court.
All serious engagements are welcome.