01 / Data
Data engineering
Designing and improving ETL workflows with Databricks, PySpark, and scalable data-platform patterns.
Data engineer · systems builder
Turning complex data into clear systems.
I’m Anirudh Bompada. I work with Databricks, PySpark, Azure, and Microsoft Fabric—and explore practical local AI through hands-on benchmarking.
What I work on
From pipelines to inference.
My work sits where data platforms, cloud engineering, and practical experimentation meet. I care about understanding how systems behave—not just whether they run.
02 / Cloud
Cloud systems
Working across Azure services and Microsoft Fabric with an emphasis on dependable, understandable architecture.
03 / Lab
Local AI
Benchmarking open models with llama.cpp to understand speed, memory use, offloading, and real hardware limits.
Selected work
Built by measuring.
A growing collection of experiments, reusable tools, and technical notes grounded in my own testing.
View all projectsBenchmarking
Local LLM Benchmark Lab
A reusable PowerShell benchmark for comparing GGUF models and llama.cpp configurations on Windows hardware.
Infrastructure
Home Server Architecture
An evolving design for efficient storage, virtualization, remote access, and future GPU expansion.
Knowledge
Engineering Notes
Clear explanations and reusable guidance on data engineering, cloud platforms, and hands-on systems work.