I'm a software engineer who's spent the last 4 years building AI systems that actually work in production. I build RAG systems, wrangle TB-scale data, and set up cloud infrastructure that doesn't break at 3 AM.
I'm not interested in perfect architectures that never ship. I care about building practical systems that solve real problems and keep running.
Most of my work involves AWS (Bedrock, Lambda, S3, OpenSearch, SQS, EMR, Batch, VPC) and Azure (Cognitive Search, Container Apps), building data pipelines with Python, SQL, Airflow, and PySpark, and making AI systems that people actually use.

