Erick Zetina
Architecting automated network validation, link-qualification, and readiness systems for hyperscale AI/ML data center fabrics—ensuring physical-to-logical topology integrity across massive GPU and TPU supercomputing clusters. Passionate about distributed systems, agentic AI engineering, and autonomous robotics.
Engineering Experience
Architecting hyperscale data center network validation systems, AI infrastructure readiness gates, and distributed data pipelines.
Software Engineer
Google- Cloud AI & Data Center Network Infrastructure: Architected automated network readiness auditing, port verification, and link-qualification systems gating the turn-up of hyperscale GPU (NVLink) and TPU AI supercomputing fabrics, optical interconnects, and multi-terabit data center topologies—improving switch installation First Pass Yield (FPY) and cluster bring-up velocity.
- Agentic AI & Spec-Driven Automation: Designed LLM-powered diagnostic expert agents and spec-driven engineering workflows to automate network anomaly triage, eliminate false-positive installation blocks, and enforce production rollout safety.
- Geo Enterprise & Maps Platform: Developed large-scale data processing pipelines and a horizontally scalable privacy pseudonymization service to analyze and optimize response quality across global Google Maps APIs.
Data Scientist
LISA Insurtech- Engineered high-performance REST APIs leveraging natural language processing (NLP) to parse and extract structured entities from thousands of complex legal insurance documents, accelerating claim resolution workflows.
- Configured and deployed distributed Elasticsearch clusters to provide sub-second semantic retrieval across hundreds of thousands of institutional records.
Software Development Intern
Audi AG- Trained deep neural networks (Generative Adversarial Networks / GANs) with TensorFlow to synthesize photorealistic camera feeds from synthetic simulation data, enabling robust closed-loop training for autonomous driving models.
- Enhanced core road network quality assurance suites by implementing automated validation algorithms, runtime performance optimizations, and critical bug resolutions in modern C++ and Python.
Autonomous Vehicle in Action
A deep-dive project combining mechatronics engineering, real-time computer vision, robotics control, and generative neural networks.
Autonomous Vehicle Platform
An end-to-end autonomous driving vehicle built by bridging low-level mechatronics microcontrollers with high-level perception pipelines. Featuring real-time sensor fusion, lane tracking, collision avoidance algorithms, and neural network synthetic simulation validation.
Skills & Technology Stack
A multi-paradigm foundation spanning systems programming, cloud infrastructure, web architectures, and robotics frameworks.
Education
Bachelor of Science in Mechatronics Engineering
Instituto Tecnológico Autónomo de México (ITAM)Computer Science (International Scholar)
Technische Hochschule Ingolstadt (THI)Languages
Interests & Reading
Passionate about deep literature, machine learning theory, autonomous robotics, and distributed infrastructure.
"The question isn't who is going to let me; it's who is going to stop me."
"Pause you who read this, and think for a moment of the long chain of iron or gold, of thorns or flowers, that would never have bound you, but for the formation of the first link on one memorable day."
"Exploring the frontier where statistical learning, generative neural architectures, and hyperscale network fabrics converge."