Software Architecture, Gcp, Software Engineering, Azure, AWS, scalable system design, CI CD pipelines, cloud platforms, development methodologies, modern programming languages

J2EE, Java, Software Development Lifecycle, Agile, Scrum, Project Delivery Management, engineering leadership, SaaS Product Technology

.NET, .Net Core, Kafka, Kotlin, Sql, Microservices, Git, Docker, Distributed Systems, Databricks, Rest Apis, Python, Kubernetes, AWS, AI-assisted development tools, cloud-native development

React, DevSecOps, API design, Azure, Microservices, AWS, Angular, AI-native development practices, cloud-native development

containerization , Apis, Microservices, System Design, Scalability, Azure, AWS, Quality gates, Cloud-native platform engineering, Distributed systems architecture, Consistency tradeoffs, Human-in-the-loop validation, Data sensitivity considerations, Data stores, Responsible AI use, Governance, Latency, Resiliency patterns, Automation capabilities, AI-assisted development, Fault-tolerance, Event-driven architectures

Java, Encryption, Databases, Authentication, Scrum, Data Modelling, Python, Pytest, Playwright, Event-driven systems, Cloud platforms, Go, Micro-frontends, Role-based access control, Cloud-native architectures, Integration testing frameworks, Authorization, Audit, Agile software development practices, Data pipelines, Kanban, CI/CD practices

AI-driven defenses, clustering models, next-generation AI Agents, ML models, AI transformation, precision recall metrics, human-in-the-loop workflows, model drift, evaluation frameworks, data-driven solutions, Fraud Detection, policy enforcement systems, machine learning lifecycles

distributed caching , Kafka, Node.js, Datadog, Typescript, Python, AWS, event-driven microservices, async event processing, Go, resilience patterns, Relational Databases, Backend architecture, schema versioning