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.
Featured work
An independent experiment.
My local LLM benchmark is the project I can describe in detail today. Other ideas appear on the Projects page with their current status.
View all projectsBenchmarking
Local LLM Benchmark Lab
A reusable PowerShell benchmark for comparing GGUF models and llama.cpp configurations on Windows hardware.
See my benchmark