Engineering Labs
"Bridging the gap between POCs and Production."
This workspace serves as my architectural laboratory. Here, I isolate and validate specific design patterns—from Data Mesh implementations to Infrastructure as Code modules—before applying them in large-scale environments.
Project Status
These repositories represent foundational kickoffs and exploratory spikes. They are designed to demonstrate patterns and principles (like security boundaries or idempotency) rather than being turnkey production systems.
Cloud & Data Blueprints
Reference implementations focusing on structure, security, and scalability from Day 0.
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Cloud Infra
A foundational Terraform setup demonstrating secure, modular landing zones. Focuses on IAM structures and network boundaries.
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Cloud Data
A production-grade Medallion Architecture implementation. Demonstrates unified Kappa pipelines (Batch/Streaming), Lakehouse patterns, and type-safe schema evolution.
Emerging Tech Explorations
Current research spikes and evaluations for potential enterprise adoption:
- Generative AI Agents: Prototyping autonomous workflows with LangChain and Vertex AI.
- Rust for Data: Benchmarking Polars performance against Pandas for local processing tasks.
- LLM Integration: evaluating open-source models (Hugging Face) for secure, private NLP tasks.
- Platform Tooling: Building CLI utilities to streamline internal developer experiences.