Yacoub A.

Google Certified Cloud Architect bridging the gap between Data and AI. I build scalable cloud foundations, design robust ETL pipelines, and deploy production ready ML models. Let me build an infrastructure that drives your business.

Many companies hit a wall when trying to scale their data and AI initiatives. Data models get stuck in local notebooks, cloud bills spiral out of control, and infrastructure becomes a tangled mess of manual processes. That is exactly where I step in.

As a Google Certified Professional Cloud Architect with a heavy background in Machine Learning and Data Engineering, I do not just spin up servers. I design, automate, and govern the enterprise grade infrastructure required to run heavy data workloads reliably and securely.

Core Consulting Services:

Cloud Architecture & IaC: Designing secure, event-driven, and highly available cloud environments from scratch using Terraform and Docker.

Data Engineering (ETL/ELT): Untangling messy data sources and building robust pipelines that deliver clean, real-time data to your analytics and AI teams.

MLOps & AI Platform Engineering: Taking AI out of the research lab and into production. I build the CI/CD pipelines, observability tools, and governance frameworks needed to deploy LLMs and ML models safely.

FinOps & Cloud Optimization: Auditing your existing cloud setup to eliminate waste, implement strict budget thresholds, and drastically reduce your monthly infrastructure costs.

Why work with me?

I bring the rigorous engineering standards of high-growth tech companies directly to your project. I focus on decoupled architectures, automation, and clear documentation. Whether you are a startup needing a secure cloud foundation or a scaling enterprise looking to fix cost-inefficient workflows, I deliver systems that accelerate your engineering velocity.

Send me a message with a brief overview of your current technical bottlenecks, and let us discuss how to build a system that scales with you.