Headline

Senior Member of Technical Staff @ Oracle | Backend & Distributed Systems Engineer | AI Agents | LLM Applications

About

I am a Senior Member of Technical Staff at Oracle, where I design and build large-scale backend platforms, distributed systems, database-driven applications, and AI-powered enterprise solutions. My work spans backend architecture, distributed processing systems, workflow automation, database engineering, and production AI systems. I have experience building highly scalable applications that process large volumes of data, orchestrate complex business workflows, integrate with multiple services, and provide actionable insights for engineering and release management teams. In recent years, I have focused heavily on Generative AI and Agentic AI systems. I work on building enterprise-grade AI applications involving LLM orchestration, tool calling, retrieval-augmented generation (RAG), conversational memory, natural language to SQL systems, prompt engineering, and secure AI integrations over structured enterprise data. Beyond my professional work, I actively build personal projects exploring distributed systems, real-time communication, AI infrastructure, and autonomous agents. One of my projects is a cloud gaming platform built using C++, Go, WebRTC, GPU-accelerated video encoding, and real-time streaming technologies, delivering low-latency interactive experiences over the web. I am particularly interested in Backend Engineering, Distributed Systems, Databases, AI Infrastructure, Agentic AI, Machine Learning Systems, and building products that combine reliability, scalability, and intelligence. Always open to discussing backend architecture, distributed computing, AI systems, developer tooling, and emerging technologies.

Location

Bengaluru

AI stack

claude code

codex

cursor

deepseek

hermes agent

langgraph

Work experience

Senior Member of Technical Staff at Oracle, Aug 2025 - Present · 1 y, On-site, • Architected and developed a production-grade, database-native Agentic AI platform that enabled engineering teams to rapidly build and deploy enterprise AI assistants directly on Oracle databases without requiring external middleware. • Designed and implemented configurable AI workflows supporting tool calling, structured function execution, conversational memory, prompt orchestration, and NL-to-SQL, enabling secure AI interactions over enterprise data while enforcing access controls and governance. • Built an intelligent NL-to-SQL framework that leverages database metadata, prompt engineering, and controlled tool execution to generate accurate SQL queries, reducing hallucinated schema references by over 60% while improving query reliability. • Designed a secure metadata abstraction layer that selectively exposes database schemas, table metadata, and tool definitions to large language models, enabling enterprise-grade AI applications while preventing direct access to underlying database structures. • Engineered multi-turn conversational memory, long-term user preference storage, and context management capabilities, enabling personalized AI interactions while significantly reducing repetitive prompting across user sessions. • Optimized AI orchestration pipelines, prompt engineering strategies, and system architecture to improve the scalability, reliability, and maintainability of enterprise AI applications supporting multiple engineering teams.

Member of Technical Staff at Oracle, Jul 2023 - Oct 2025 · 2 yrs 4 mos, Banglore, • Designed and developed large-scale backend systems supporting software release management, engineering workflows, and automated operational processes. • Built distributed data processing pipelines capable of handling high-volume concurrent workloads across multiple services and environments. • Developed workflow automation platforms that aggregate data from multiple systems, perform intelligent analysis, and automate approval and decision-making processes. • Designed integrations across databases, REST services, messaging systems, and collaboration platforms to streamline engineering operations. • Implemented real-time monitoring, reporting, and notification systems enabling faster identification and resolution of production and release issues. • Optimized database workloads, processing pipelines, and backend services resulting in significant improvements in scalability, throughput, and operational efficiency.

SDE INTERN at Standard Chartered Bank, May 2022 - Jul 2022 · 3 mos, Remote

Education

Bachelor of Technology - BTech, Electronics and communication engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad

Public links

github: https://github.com/vamsi805