Software Engineer,

I build machine-learning systems and the software around them.

My work combines ML engineering and systems engineering, spanning language models, retrieval, computer vision, inference,
data processing, backend services, and infrastructure.

I work on:

Language models — training, fine-tuning, evaluation, and inference
Retrieval & knowledge — RAG, GraphRAG, search, and information extraction
Computer vision — GPU-accelerated image and video processing
Inference systems — latency optimization, quantization, efficient model execution, and serving
Data systems — transforming, indexing, and moving information between models and applications
Production systems — APIs, distributed services, cloud infrastructure, and deployment of ML workloads

I work between models and the systems that make them useful.

That means understanding what the model needs, and what the system around it needs to make it work reliably and efficiently.

The technology is secondary.  

Where does the information come from? 
How does it move? 
Where does the computation happen? 
What makes it slow? 
What happens when it fails? 
What needs to change when the workload grows? 

That's the engineering I enjoy.