About Me
Professional Experience
Chief Technology Officer (CTO)
Provide technical leadership, cloud architecture, and strategic solution design. Manage technical operations across the organization to align infrastructure scalability with client business goals.
- Migrated monolithic applications to containerized Kubernetes (GKE) clusters and GCP serverless runtimes.
- Supervised monthly cloud operations audits, optimizing resource consumption and reducing cloud spend.
- Established disaster recovery (DR) protocols and standardized automated deployment pipelines using Terraform.
Chief Technology Officer (CTO)
Lead the software engineering and data analytics departments. Formulate advanced technical strategies to optimize digital operations and campaigns using Google Cloud and Data Analytics.
- Designed and implemented serverless architectures in GCP linking Firebase, Vertex AI, and Google Marketing Platform.
- Built robust machine learning predictive models on Vertex AI to optimize advertising budgets and data routing.
- Constructed large-scale ETL pipelines to synchronize transactional systems with enterprise data warehouses.
CTO & Cloud Architect
Technical lead helping companies adopt and scale within the Google Cloud ecosystem. Supervised 360-degree technical architectures and migrated critical client database nodes to the cloud.
- Conducted technical consulting for complex pre-sales and post-sales solution deployments.
- Led specialized GCP architecture workshops and cloud engineering courses for corporate teams.
- Consulted on multi-million dollar cloud infrastructure migrations, ensuring zero downtime and cost efficiency.
Rubik Cloud Operations
Chief Technology Officer (CTO)Recent Articles
Engineering the Next-Gen Portfolio: Scrollytelling, Hybrid Architectures and Zero-Rebuild Strategy
A deep dive into the design and motion engineering of the Carbon Platinum v5.0 system, featuring hybrid Astro 5.0 architecture, zero-rebuild Strategy, and surgical GSAP orchestration.
Read ArticleGemma 4: Breaking the Efficiency Ceiling in Local AI
Gemma 4 is Google's next-generation open weights model. This article explores how its Hybrid Attention Mechanism and native Multi-Step Function Calling break the efficiency ceiling for local AI agents.
Read Article