data engineering , BI, Tableau, Tensorflow, Pytorch, Confluence, Scrum, AWS, Ml, ipaas, Power Bi, Agile Methodologies, Saas, Jira, Devops, Gcp, Rest Apis, Azure, Kubernetes, Product Marketing, LangGraph, Product Support, Kanban, LangChain, Scikit-learn, event-driven architectures, Ai, Looker, Analytics, Sisense, Superset, Infrastructure-as-Code

product classification , Ml, Sql, Apis, LLMs, Ai, Ontology, data pipelines, structured navigation, search recommendations, entity resolution, metadata structuring, product management, Taxonomy, generative AI, structured data

signal design , Web Performance Metrics, Product Management, Recommendations Personalization, Lifecycle Marketing, Crm Systems, Feature Stores, App Performance Metrics, In-app Notifications, Recommendation Models

product management, Problem-solving

experimentation, User Empathy, Data Analysis, Product Management, Market Research, User Testing

B2B SaaS, critical review of model output, fast prototyping

Machine Learning, integration design, Apis, B2B SaaS, Behavioral Biometrics, Technical Trade-offs, Developer Experience, Device Intelligence, Data Platforms, Risk Engines, Fraud Detection Technologies, SDKs, Decisioning Systems

Cross-functional execution, Growth loops, AI-driven personalization, Product Management, Team Leadership, User discovery

Jira, Confluence, safety guardrails, prompt and tool orchestration, evaluation and monitoring, Agile Scrum delivery frameworks, agentic workflows, SaaS platform roadmap execution, AI LLM-powered products