Principal Software Engineer with 11+ years of experience designing, building and scaling cloud-native enterprise platforms, with deep experience in distributed systems, microservices, event-driven integration, DevOps, cloud security and analytics.
I design and build scalable enterprise systems with a focus on architecture, reliability, maintainability, security and operational efficiency.
My experience spans .NET 8, AWS, Azure, Microservices, BFF architecture, event-driven systems, infrastructure as code, CI/CD, analytics platforms and data engineering workflows.
I also apply AI-enabled engineering practices across requirements analysis, solution design, code generation, review, testing, documentation and developer productivity.
A combination of architecture, hands-on engineering, cloud, data and AI-enabled delivery.
Application boundaries, service responsibilities, integration patterns, API contracts, data flows, security and non-functional requirements.
AWS architecture, cloud migration, serverless computing, infrastructure as code, deployment standards and operational efficiency.
Microservices, event-driven integration, resilient asynchronous workflows and reliable service-to-service communication.
AI-SDLC practices, AI-assisted requirements, design, coding, testing, documentation and developer productivity workflows.
PySpark, EMR Serverless, Lambda, Step Functions, QuickSight and cloud-native data processing workflows.
IAM, KMS, Secrets Manager, OAuth/OIDC, CI/CD governance, Terraform, Docker and SonarQube quality gates.
Led solution architecture and development for Novare using .NET MAUI, C#, REST APIs and microservices. Architected AWS platforms with .NET 8, ECS, Lambda, API Gateway, DynamoDB and Terraform; led cloud migration, event-driven integration, BFF architecture, analytics workflows, security and CI/CD governance. Applied AI-SDLC across requirements, architecture, code, testing, documentation and developer productivity.
Developed enterprise applications using Angular and Azure cloud services, led Cypress automation initiatives, collaborated on scalable cloud solutions and mentored engineers through technical design discussions.
Built full-stack enterprise applications using .NET MVC, Angular, Node.js and Web APIs; gathered requirements and translated business needs into scalable solutions.
Developed Angular and Node.js enterprise applications, led feature development and contributed to application modernization.
Developed ASP.NET MVC applications integrated with SQL Server and REST APIs and supported testing, deployment and production operations.
Developed .NET Framework and Ionic applications, resolved production issues and delivered application enhancements.
Developed mobile and web applications using Ionic, AngularJS and Cordova and integrated backend services.
Developed web applications using .NET technologies and SQL Server and collaborated with design and development teams.
Conducted production audits, operational process training and quality assurance and process-improvement activities.
Selected areas of professional contribution, described at a high level without publishing confidential company implementation details.
Applied AI-SDLC practices across enterprise software delivery, including requirements analysis, solution design, architecture, code generation, review, testing, documentation and developer productivity.
Designed and developed scalable enterprise platforms using .NET, AWS, microservices, REST APIs, serverless services, infrastructure as code and cloud security practices.
Built cloud-native analytics and data-processing workflows, contributing to reporting platforms, data pipelines, orchestration and analytics experiences.
Contributed to modernization and migration of enterprise workloads toward cloud-native architectures, including serverless solutions, automation, security and CI/CD.
Defined application boundaries, service responsibilities, integration patterns, API contracts, data flows, security considerations and non-functional requirements.
Academic M.Sc. Data Science project exploring predictive analytics for healthcare decision support, including feature engineering, statistical analysis and model evaluation.
A generic architecture pattern representing the engineering concepts I work with. This is illustrative and does not represent any employer's internal architecture.
Symbiosis International (Deemed University) · 2026 · Awaiting Result
Major project: AI-Driven Clinical Risk Intelligence & Healthcare Decision Support Platform Using Predictive Analytics.
Sikkim Manipal University · 2014
Valid through April 2028
AZ-900
AI-900
DP-900
For conversations around software architecture, cloud engineering, AI-enabled development, enterprise platforms and challenging engineering problems.