systems design , Machine Learning, Data Science, Integrations, Nlp, ML-powered features, Process Optimization, LLMs, Ai, Recommendation systems, Responsible AI principles, Model explainability, Workflow automation, Product Architecture, Backend systems, Operations Research, SaaS products

Software Development, product management, Technical Presentations, LLM interfaces, generative AI tools

AI tools, Salesforce-native applications, Salesforce AppExchange, B2B SaaS, Product Management

Jira, Sql, Confluence, Azure, AWS, Airflow

Agile Scrum, AI tools, Data Analysis, Product Management, Clinical data interoperability

embedded analytics , change data capture , Data Modeling, Permissions, Apis, Data Quality, query engines, in-process analytics, serving layers, modern data architectures, Text-to-SQL evaluation, source systems, data ingestion, observability, lakehouse-style storage, safe action execution, extensibility, DuckDB, natural-language querying, event streams, SDKs, AI-native data experiences, grounded retrieval

Jira, Pl Sql, Public Cloud, Agile, Java, J2EE, Python, Correlation, TMF ALN4, Fault Management, Kubernetes-based deployments, OSS Service Assurance, Safe, Performance Management, 3GPP standards, TMF API Standards, Service Monitoring, SLA monitoring, ProductBoard, Topology Visualization, Inventory Management, cloud-native microservices architecture, Root Cause Analysis

Ai, B2B SaaS, AI ML-powered products, Product Management, Healthcare