Selected Work
Payment Card Tender System
The Challenge
Black Friday traffic spikes (order-of-magnitude load) with zero margin for error. Legacy monoliths failing under load with inadequate observability.
The Solution
Designed a distributed buffering architecture using Pub/Sub & Cloud Run to decouple ingestion. Built OpenTelemetry tracing pipelines to make the entire payment path observable. Led zero-downtime GCT migration to type-safe Go microservices.
The Impact
Zero downtime during peak volume (high-throughput daily transaction volumes). Sub-50ms p99 latency. 20% latency reduction from observability-driven optimization.
arch:Event-Driven Distributed Systems
gcp:Cloud Run, Pub/Sub, BigQuery, Cloud Build
The Home Depot
Payment Card Tender System
gimenez.dev AI Portfolio
The Challenge
Static portfolios fail to answer specific questions. Cloud LLM APIs are expensive at scale and leak context to third parties.
The Solution
Engineered a full RAG pipeline: local knowledge base, optional Supabase pgvector for semantic search, self-hosted inference via Inferencia (OpenAI-compatible). Deployed on GCP Cloud Run with Terraform IaC.
The Impact
Live production system demonstrating RAG architecture, edge-first AI thinking, and GCP deployment. Operational cost under $2/month.
arch:RAG + Self-Hosted LLM on Cloud Run
gcp:Cloud Run, Artifact Registry, Secret Manager, Terraform
Personal Project
gimenez.dev AI Portfolio
Churnistic
The Challenge
Manual ML retraining was a bottleneck, causing model degradation and stale predictions that cost revenue.
The Solution
Automated the entire pipeline using TensorFlow.js & Firebase Functions with data drift detection triggers, validation gates, and automatic deployment of superior models.
The Impact
Improved model accuracy by 15%. Eliminated 5+ hours/week of manual engineering toil. Caught a data drift issue that manual processes missed for weeks.
arch:Event-Driven ML Pipeline
gcp:Firebase Functions, Cloud Firestore
Personal Project
Churnistic
Other Work
Real-Time Trading Engine
WebSocket-driven trading platform with Go backend, real-time market data streaming, and portfolio analytics.