Apis, platform engineering practices, large-scale distributed systems, AI ML-powered systems, data platforms, cloud-native technologies

Java, Golang, Saas, Scala, Microservices, Distributed systems architecture

Apis, Cloud Infrastructure, Kubernetes, AWS, Enterprise agentic platforms, Agentic AI Platforms, Evaluation Governance, Automated remediation, Observability Ops, Accuracy scoring, Audit services, MCP-based architectures, Orchestration frameworks, Containerized services, Enterprise evaluation frameworks, cost tracking, Workflow automation, tracing, Integration Delivery, CI CD for AI applications, AI-driven monitoring

data engineering , Hipaa, Microservices, Ehr, Application Development, Agile, Scrum, Integration, Emr, Devops, Hl7, Healthcare Interoperability Standards, Delivery Governance, FHIR, Executive Stakeholder Management, Cloud-native technologies, Financial Management, modernization, Commercial Negotiations, API Ecosystems, Mobile Data Platforms, HIS, Digital Personal Data Protection Act, PMS, Production Support, AI-assisted engineering

Java, Ml, C, Scala, Cloud Infrastructure, Python, Go, Ai, Observability, Tooling

Jenkins, Device Driver Development, Linux Kernel, CI/CD, C/C++, Storage Protocols

Python, Full Sdlc, LangChain, CrewAI, Generative AI, Agent Core, Enterprise cloud architecture, Investment business-case development, Model observability, Portfolio P&L ownership, AI coding agents, AI governance, Roadmap governance, Agentic workflows

data engineering , Advanced Analytics, Agile Methodology, Plm, Usability Testing, Data Governance, Statistical Modelling, Power Bi, Data Warehousing, Machine Learning, Data Visualization, BI and visualization tools, Generative AI Platform Development, Feature Prioritization, User Experience UX Design, User Needs Analysis, User Experience UX, Product Roadmapping, Programming tools, Product Development, Relational Databases, Product Design, Product Lifecycle Management, Customer Feedback Management