Bench+BENCH+ PROFILE
B2B AI and product leader suited to turning enterprise workflow problems into AI-enabled product roadmaps, implementation plans, and production-oriented automation systems.
BEST-FIT USE CASE
Not the primary fit: Pure hands-on software engineering roles, narrowly scoped model research roles, or positions centered mainly on QA, security operations, database administration, or infrastructure ownership.
EVIDENCE HIGHLIGHTS
Set up an AI advisory and implementation practice for a systems-integration environment, including maturity audits, use-case portfolios, roadmaps, training offerings, and implementation proposals for industrial B2B workflows.
Developed a RAG-based business-support platform using verified business data before response generation, with conversational support, lead qualification, and reduced hallucination risk as target outcomes.
Identified and developed AI use cases around tender response automation, conversational agents, and document intelligence pipelines.
Architected production AI and data pipelines integrating LLM agents, OCR, third-party APIs, relational data models, content systems, web services, secure secrets handling, and cloud deployment.
Led an agentic AI workflow product for recruitment and talent assessment from concept through commercial launch, including roadmap, MVP, product discovery, AI stack definition, and workflow integrations.
Led seller operations automation involving support ticketing, ETL, business intelligence dashboards, and integrations between marketplace operations tools.
Led B2B distribution product development involving API feeds, channel-manager capabilities, booking-engine integrations, requirements discovery, PRD/BRD creation, and automated reporting.
Managed mobile and SDK-based loyalty product lifecycle activities including user research, journeys, wireframes, transaction flows, campaign logic, reporting, and feedback loops.
WORKING STYLE