Software engineer focused on backend systems, databases, distributed systems, and building practical AI-powered solutions.
I work on backend-heavy systems involving databases, APIs, automation, and distributed architectures. I enjoy understanding systems deeply rather than just using abstractions.
Currently exploring AI/ML, large-scale data systems, and modern cloud-native tooling.
End-to-end SQL and reporting automation for financial transaction pipelines.
RAG pipelines, prompt engineering, and model-serving experiments using modern LLM stacks.
APIs, schedulers, and system integrations using Python, SQL, and cloud services.
Checkpointing, rollback recovery, consensus algorithms, and fault tolerance.
Query optimization, reporting pipelines, and real-world Oracle/Postgres usage.
Practical ML systems, inference pipelines, and real production constraints.