Enterprise to AI
Architect intelligent systems that connect mainframe-scale databases (Db2/z/OS) with modern AI/NLP workloads. Build end-to-end solutions that modernize legacy enterprise infrastructure.

I’m Swetha Budur, a graduate student in Computer Science at Rowan University with 3+ years of professional experience in mainframe,Java development and cloud platforms. I bridge enterprise systems with AI-driven solutions, from optimizing Db2 and z/OS databases to building NLP and LLM-based chatbots. Skilled in Java, Python, SQL, and cloud platforms, I deliver scalable and maintainable solutions while exploring innovative applications of AI and NLP to enhance real-world software systems.
Architect intelligent systems that connect mainframe-scale databases (Db2/z/OS) with modern AI/NLP workloads. Build end-to-end solutions that modernize legacy enterprise infrastructure.
DeliverHigh-availability systems through deep-dive performance optimization: query tuning, bottleneck identification, throughput scaling, and cost reduction. Implement observability-first architectures with metrics, tracing, and alerting for measurable SLA impact.
Build secure, scalable systems that teams trust. Simplify complex operations through smart automation and intuitive APIs, directly reducing costs and enabling faster delivery.
Engineered a production-grade LLM-powered support platform using Python and RAG techniques. Integrated domain knowledge bases with OpenAI APIs, implemented safety guardrails, and achieved 40% faster query resolution.
Improved Db2/z/OS query paths and automated routine operations, reducing toil and improving SLAs.