Collaboration
I work directly with engineering teams to design systems, write production code, and solve complex problems at the intersection of data, cloud, and AI platforms.
I integrate directly into your development workflows (pull requests, Slack, active architecture) as an additional senior engineer. My hands-on contribution is focused on three core pillars:
- Data & Applied AI Engineering: Building resilient data pipelines (batch/streaming via Spark, dbt, and Dagster) and deploying production-ready AI workloads (RAG pipelines, LLM governance, and real-time observability using Langfuse and OpenTelemetry).
- Cloud & Platform Engineering: Designing secure cloud infrastructure with Infrastructure as Code (Terraform/Terragrunt), zero-trust CI/CD pipelines (GitHub Actions), and secure container orchestration (Kubernetes/GKE) to ensure your data and AI workloads run safely.
- Technical Mentorship & Advisory: Helping your team make critical architectural decisions (e.g., evaluating open-source vs. managed cloud services), reducing technical debt, and establishing cloud cost optimization strategies (FinOps).
Most of my recent work has been in Banking, Retail, and Logistics, frequently in environments with high operational pressure, security concerns, or regulated data.
Frequently Asked Questions
What is your typical engagement model?
I work as an independent contractor. I integrate with engineering teams on a project basis, ranging from short-term architecture audits (2-4 weeks) to acting as a part-time or full-time technical lead for several months (3-6+ months).
What time zones do you support?
I operate within a broad window, generally from 05:00 AM to 10:00 PM (Caracas time / UTC-4). This allows me to comfortably overlap with European mornings, the entire North American business day (EST and PST), and all LATAM time zones.
Do you work independently or bring a team?
I work alone. I don't run an agency or outsource work. I integrate directly with your internal engineers to solve hard problems together and share my experience with the team.
Do you only work with Google Cloud Platform (GCP)?
While I have deep expertise building on Google Cloud (GCP), my work isn't tied to a single vendor. I regularly design and deploy architectures across both GCP and AWS. Because I rely heavily on open-source data technologies (dbt, Spark, Airflow, Iceberg) and portable AI frameworks (LangChain, FastAPI), the systems I build are highly portable and avoid heavy vendor lock-in.