Summary
I am a Principal / Lead Software Engineer and Enterprise Application Expert (Web & Mobile) | GenAI & Agentic AI Specialist with 12+ years of experience spanning software engineering, solution architecture, and technical leadership across Healthcare, Ecommerce, Enterprise Search, and Conversational AI & Virtual Assistance domains.
My work centers on architecting and delivering cloud-native, event-driven platforms that combine modern frontend ecosystems (React, React Native, Next.js, Angular, Vue.js), robust API layers (REST, GraphQL, SOAP), and distributed data systems (MongoDB, Cassandra, Cosmos DB, Snowflake, MySQL, Oracle) running at scale on Azure, AWS, and GCP.
I have led the design and implementation of GenAI and agentic AI systems, including production RAG architectures, multi-agent solutions with Google ADK and Google NGA, and high-relevance search platforms on Lucidworks Fusion and Apache Solr, while enforcing strong security (OAuth2, OIDC, JWT, MFA, SSO), observability, and engineering standards for enterprise environments.
Beyond hands-on engineering, I play a principal role in defining engineering roadmaps aligned with business strategy, driving platform modernization and cloud transformation initiatives, partnering with executive stakeholders on technology and vendor evaluations, and building high-performing teams through structured mentoring, code reviews, and rigorous development practices.
Strengths
Proven track record leading the design and delivery of enterprise-scale web, mobile, and GenAI platforms, including RAG-based systems, multi-agent architectures with Google ADK / NGA, and high-relevance search solutions on Lucidworks Fusion and Apache Solr.
Build and scale high-performing teams from 4→12 engineers, hiring 15+ engineers with 95% retention and advancing multiple engineers to senior and lead roles through structured coaching, code reviews, and technical guidance.
Own end-to-end technology strategy and architecture for cloud-native, event-driven platforms, governing standards across frontend, APIs, data, security, and observability while managing a $1.5M+ annual technology budget.
Consistently convert architecture decisions into outcomes, including $2.5M annual savings, 4x deployment frequency, 25% MTTR reduction, NPS improvement of +15 points, and improved self-service and search performance for Fortune 500 organizations.
Skills
Education
B.Tech Computer Science
JNTUH
Memberships
IEEE Member