

Engineering Director and Certified Solution Architect with over 17+ years of experience designing and delivering enterprise-grade software solutions across healthcare and industrial domains, currently leading the architecture and development of an AI-powered Revenue Cycle Management (RCM) platform.
Driving the adoption of multi-agentic architectures and Azure-native services (AKS, Azure ML, OpenAI, Cosmos DB, API Management, etc.) to build intelligent automation for denial management, compliance auditing, workflow orchestration, and patient payment systems.
Cloud Computing & AI Integration: Experience with Microsoft Azure (Azure Functions, API Management, Logic Apps, IoT Hub, Azure ML, OpenAI, Cognitive Services, Cosmos DB, MLOps) and AWS (Lambda, S3, DynamoDB, Glue, SageMaker, AWS IoT).
Proven success delivering PaaS, FaaS, and SaaS solutions with agent-based distributed architectures. Application Architecture: Expert in building scalable, event-driven, microservices-based solutions using DDD, CQRS, and event-sourcing models. Firsthand with Web API, distributed applications, and resilient system design using Azure Kubernetes Service (AKS) and serverless functions.
Data Architecture: Deep ability in SQL and NoSQL solutions including Azure Managed SQL, Cosmos DB, MongoDB, Couchbase, and DynamoDB. Skilled in designing robust data pipelines, modeling healthcare financial data, and enabling interoperability using FHIR/HL7 APIs.
Agile Methodologies & Secure Development: Well-versed in Agile Scrum, TDD, and BDD practices. Leads code quality and compliance initiatives with built-in security scans, code audits, and DevSecOps best practices using Azure DevOps and GitHub Actions.
Solution Design & Stakeholder Collaboration: Strong experience in translating business requirements into scalable technical designs. Actively involved in SDLC phases including process flow analysis, technical documentation, and stakeholder reviews.
Leadership & Legacy Modernization: Proven ability to lead cross-functional teams, drive data/process modernization, and migrate legacy systems to cloud-native stacks, ensuring alignment with enterprise architecture goals and industry best practices.
Innovation & Trend Adoption: Passionate about emerging technologies such as Agentic AI, LLMs, and digital twins, and committed to driving innovation to improve business outcomes and product capabilities.
Programming & Tools: Proficient in C#, GoLang, Python, JavaScript, TypeScript, with solid experience on Azure and AWS, and a broad range of monitoring and database management tools.
Product development
Technology integration
System design
Design development
Stakeholder communication
Forward-thinking mindset
Training and mentoring
Coaching and mentoring
Planning and coordination
Teamwork and collaboration