I’m a Software Engineer focused on designing cloud-native, AI-enabled systems where architecture, reliability, and business outcomes intersect.

My core expertise lies in building serverless and event-driven platforms on AWS, with a strong emphasis on operationalizing AI inside production systems. I design backend services using AWS and integrate modern AI frameworks and managed foundation models to enhance customer experience, automation, and decision workflows.

From an architecture standpoint, I’ve focused on evolving the core application toward a modular monolith supported by monorepo-based development patterns. By defining clear internal boundaries and shared domain modules, I’ve reduced duplication, improved testability, and accelerated onboarding for junior engineers. I actively mentor developers on cloud-native design, AI system boundaries, and production-ready patterns so the organization scales technically as complexity grows.

Core technical focus:

AWS Serverless · Event-Driven Architecture · AI-Enabled Systems · AWS Bedrock · LLM Orchestration · Backend API Design · CI/CD Automation · Modular Monoliths · Monorepos · Cloud Cost Optimization · System Reliability

Analyzed the interaction data of the customers using Python to identify the high priority technical issues, thereby improving the overall system efficiency by 7%

Collaborated with Data Analytics & Access Management team to create a time management model using ServiceNow data, resulting in reduction of customer wait time by 4%

Developed a ticket handling database system using MySQL workbench to optimize the workflow of Quality Assurance team

Identified gaps in inventory tracking system and used Microsoft Power Automate to reduce the error by 9%