One liner about me
I like to transform chaos into structured and controlled chaos.
Let's Connect!
Germaine Chin
Hello!
I'm a Product Manager who bridges the gap between cutting-edge AI technology and human-centered design, leveraging my background in Cognitive Science to create AI products that truly understand how people think and work.
Currently serving as Product Manager at Phillip Nova, I oversee trading platform ecosystems for Singapore and Malaysia markets, where I've led initiatives in automated account opening, client portal enhancements, and single sign-on integration. My work involves navigating complex regulatory frameworks.
Journey to Product!
My journey to product management began with a BSc in Cognitive Sciences from UNIMAS, where I developed a deep fascination with how humans process information, make decisions, and learn new concepts.This foundation has proven invaluable in my product management career, as it helps me design interfaces and workflows that align with natural human cognition rather than forcing users to adapt to technology constraints. I understand concepts like cognitive load theory, mental models, and attention mechanisms, which directly inform how I approach AI product design and user experience optimization.
Behind the Product...
When I'm not immersed in product strategy
You'll find me exploring complex narratives games below to hone my skills in collaborative storytelling, scenario planning, and creative problem-solving.
Dungeon and Dragons
Warhammer40k
Paper and Pen RPGs
Souls Game
Germaine's Journey
Certified Scrum Master
Certified Scrum Produce Owner
View more here
Education
University of Malaysia Sarawak
BSc of Cognitive Sciences
2016 - 2019Specialized in human cognition, decision-making processes, and information processing systems with a focus on human-computer interaction. Completed coursework in cognitive psychology, neuroscience, artificial intelligence foundations, and research methodology.
Final year project explored the intersection of cognitive load theory and memory.
Graduated with 3.69 CGPA
Internship
Singapore Aerospace Manufacturing
June 2018 - Aug 2018
IT Application Intern
Creative Exploratives
Splitsplat
June 2019-June 2020
Art Instructor
Developed and delivered creative curriculum for diverse learners, honing skills through cognitive learning methodology. This experience taught me the importance of understanding different learning styles and cognitive approaches.
Professional Journey
META Research
July 2020 - November 2020
Associate System AnalystGained foundational experience in data analysis and system optimization during the early stages of my career. Worked on data pipeline optimization projects that improved processing efficiency.
Plexus Corp
December 2020 - December 2023
Application Support Engineer
Application Support AnalystPerformance Optimization Through Data Analysis
Improved ERP system performance by 30% through systematic application analysis and cross-regional collaboration. This involved analyzing system performance patterns, identifying bottlenecks, and implementing data-driven optimizationsIncident Management & Predictive Problem-Solving
Resolved 100+ Priority 1 and 2 incidents within SLA requirements, preventing downtime for global manufacturing operations worth millions of dollars.Automation & Intelligent Process Design
Automated Shipment Department Reports ensuring compliance with Free Zone Act 1990 and GST Sales Tax regulations for APAC manufacturing plants.Supply Chain Intelligence & Optimization
Supported Supply Chain Planning Systems (Kinaxis), optimizing planning processes and resolving system discrepancies that could impact multi-million-dollar manufacturing operations.
Phillip Nova
January 2024 - Current
Product ManagerFull Product Lifecycle Management
Oversee the entire product lifecycle including ideation, development, launch, and iteration, while ensuring alignment with business objectives and evolving customer needs in the dynamic fintech landscape.Regulatory-Compliant Product Strategy
Develop and maintain comprehensive product roadmaps while ensuring strict compliance with MAS, AML/CFT, SGX, Global Data Market, Fair Trading Practice, and Securities and Futures Act (SFA) regulations. This experience managing products within heavily regulated environments provides essential preparation for AI product management, where governance, ethics, and compliance frameworks are increasingly critical for responsible any deployment.Agile Framework Implementation & Team Leadership
Implement and optimize Scrum framework to manage product development across diverse developer teams, including backlog prioritization, sprint planning, and retrospectives. Adapt agile practices to accommodate different team working styles and technical capabilities.
Resume
If you like my profile, here is my latest resume :)
Updated May 2025
Thinking about Thinking
Insights at the intersection of AI, product management, and human cognition
Whereabout Germaine's weekend? Mid July Edition
July 12, 2025 | MCP | Productivity | ManusAI
The thing with MCP is such a buzzword but it is such a new (found) discovery for 6 months (as per current date. It is NOT all that new but with tools like Generative AI and with the capabilities of our physical machines, they could take more power to actually churn out valuable data in a significantly (efficient-y) time. Compared in the past anyway.Looking forward to incorporate MCP into my works, or at least tinkle with it!
Saturday morning meaning ... learning deeper about MCP and exploring more (or bruteforce testing) Manus AI for me >:)#MCP #manusAI #LearningInPublic pic.twitter.com/tojwekYyfY
— The Otter PM (@softserveotter) July 12, 2025
Current Science Paper Reads: arXiv:2409.02387
July 10, 2025 | LLM | Cognitive Science | Product Management
Large Language Models and Cognitive Science: A Comprehensive Review.
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I have some thoughts over how LLM and CogSci intersect, and how AI PM can leverage using this piece of knowledge to breakthrough. Guess it's my time to start a medium blog.
Sense, Solve, Ship
This is where I attempt to SSS my product — from the chicken... or the egg...
If you get my drift.Basically, being a product manager means putting on a lot of hats, because that’s where you show your strategy and your vision.
Below is where I illustrate my thinking process.Note: All products are different and unique. If it doesn’t work, try something else!
The Aspiring AI Product Manager's Mindset
Curating Vision and Innovation in the Age of AI
A comprehensive framework for leading AI product managers, synthesizing insights from industry pioneers and successful practitioners who have mastered the art of human-AI collaboration.
Core Cognitive Framework
🧠 Data-Centric Thinking
Shifting from feature-based to data-driven learning loops and continuous hypothesis testing.
📊 Probabilistic Reasoning
Embracing uncertainty and building products that gracefully handle ambiguous AI outputs.
🔄 Emergent Planning
Adaptive roadmaps that evolve with AI capabilities and user behavior patterns.
🤝 Human-AI Collaboration
Designing complementary intelligence systems that enhance rather than replace human capabilities.
🔮 Anticipatory Problem-Solving
Predictive thinking that identifies opportunities and challenges before they become critical.
⚖️ Ethical Integration
Building fairness, transparency, and accountability into every product decision from day one.
AI Product Manager's Daily Workflow
Morning Data Synthesis
Pattern recognition & hypothesis formation
Continuous Testing
Rapid experimentation & validation
Ethical Checkpoints
Bias assessment & fairness evaluation
Human-AI Optimization
Collaboration workflow refinement
Rapid Iteration
Learning loops & adaptation
Key Insights from Leading Practitioners
Counterintuitive AI Impact
AI will most profoundly impact high-level strategic skills (vision, strategy, opportunity identification) rather than routine communication and execution tasks.
The Automation Paradox
90% workflow automation doesn't eliminate human involvement—it shifts focus to higher-value activities like strategic thinking and creative problem-solving.
Ethical Competitive Advantage
Organizations integrating ethical considerations from the beginning will have significant advantages as regulatory frameworks evolve and user awareness increases.
Implementation Roadmap
Phase 1: Foundation (Months 1-3)
Develop AI literacy, implement basic tools, establish ethical frameworks, begin hypothesis-driven experimentation.
Phase 2: Integration (Months 4-6)
Integrate AI into daily workflows, develop cross-functional collaboration, implement learning loops and feedback mechanisms.
Phase 3: Advanced Capabilities (Months 7-12)
Sophisticated human-AI workflows, predictive analytics for strategy, AI-augmented ideation, thought leadership development.
↻ Continuous Learning & Adaptive Framework Evolution ↺
Case Studies and Fun Projects
Here is where Germaine attempts (and actually) to execute stuff.
I will routinely update here when I have the time to tidy up my stuff
Click below to view my projects 🦦
WIP in coming!!!! 🦦
Current Trading Platform as Product Manager
My Chat Ambassador (Institute of Mental Health Singapore) journey
