Singapore, Singapore
As a Product Manager specializing in AI platforms and conversational AI, I build products that enable organizations to design, deploy, and scale intelligent assistants that drive real business outcomes. My passion in Generative AI allows me to turn emerging technologies into enterprise-ready products that empower people to work smarter and innovate faster. If you’re exploring what’s next in conversational or platform-based AI, let’s connect!
• Led development of AI products from conception to launch, transforming research-stage LLMs into a user-facing enterprise platform that scaled from 0 to 70,000 users in 3 months • Monitor analytics dashboard to track user behavior, surface growth opportunities, and guide product roadmap decisions with data insights • Led cross-functional teams across engineering, design, and operations using the SAFe framework and 2-week sprints to rapidly iterate and deliver growth initiatives • Collaborated with developers to design system prompts and apply prompt engineering techniques, improving chatbot response quality and safety
• Conducted product presentations and demos customized to meet clients’ technical needs, resulting in a 95% client satisfaction rate • Developed innovative proof-of-concepts to showcase SuccessFactors solution capabilities • Leveraged knowledge of diverse security compliance and regulatory frameworks such as ISO 270XX, SOC1, 2 for RFPs
• Winner of SAP STAR Q1 Award • Winner of SAP STAR Q2 Award • Project Lead for S.C.A.L.E 2023 • Led Fitness and Mental Wellness Initiatives for STAR Program interns • Led Learning and Development Workshops for STAR Program interns
• Revamped Petrosea’s existing dashboard with SAP Analytics Cloud, restoring customer confidence within 2 weeks • Designed and executed SAP Analytics Cloud demo presentations to exhibit solution capabilities to customer • Boosted quality acceptance rate by 50% with unit test framework in SAP Analytics Cloud for data extractors and models
• Developed application features and improvements using NodeJS on a Retail F&B Project • Deployed reusable test frameworks on application modules to ensure API endpoints are at the functioning level of 90% across the modules using Jest • Assisted Development team in test case formulation which led to an increased rate of 50% in code correctness
• Facilitated Agile meetings, resolving 80% of project outcomes in retrospective, stand-up and sprint planning sessions • Bridged requirements from multiple verticals for B2B projects and resolved 90% of incoming and outgoing dependencies • Consistently achieved 100% deliverables, ensured projects shipped 2 weeks early by tracking & reporting via Confluence & Jira