CPO @ Infoset | AI Products | CRM | Omnichannel CX | Customer Operations
I build AI-powered CRM and omnichannel CX products that turn customer interactions into clearer decisions, safer operations, and better user experiences.
My focus is not AI for automation alone. I am interested in product systems where AI improves decision quality, reduces operational friction, and keeps human judgment at the center.
| Area | What I Care About |
|---|---|
| AI products | Turning model capabilities into usable, safe, and measurable product experiences |
| CRM & CX | Connecting customer signals across channels, teams, and workflows |
| Omnichannel operations | Designing products that help support and operations teams act with more context |
| Decision support | Building systems that make decisions faster, clearer, and more reliable |
| Human-in-the-loop design | Keeping control, accountability, and judgment in the right place |
| Project | Product Angle | What It Shows |
|---|---|---|
| AI Product Case Studies | Public product case studies | Lessons from private AI product work without exposing code, customer data, or internal business logic |
| Think-Inn Ecosystem | AI-supported innovation platform | Idea capture, research matching, product opportunity mapping, AI-assisted prioritization |
| TalentFlow | AI-supported recruitment operations | Candidate workflows, structured evaluation, human-in-the-loop decision support |
| Derm-Ai V1 | Sensitive-domain AI UX prototype | Visual input handling, responsible AI framing, safety-first mobile product thinking |
flowchart LR
A[Customer or user signal] --> B[Structured product workflow]
B --> C[AI-supported analysis]
C --> D[Human review and judgment]
D --> E[Better decision]
E --> F[Improved customer or user experience]
AI does not create a good experience by itself.
The real product value starts when AI helps the right person make a better decision at the right moment, with enough context, control, and trust.
Some of my most valuable work is in private repositories connected to real product, customer experience, chatbot, QA, verification, internal assistant, and customer operations systems.
I share selected learnings from these projects as public product case studies without exposing private code, customer data, or internal business logic.
Current public case study:
I am focused on building AI-supported products where the goal is not just automation, but better decisions.
This includes:
- AI-powered CRM and omnichannel CX products,
- customer operations workflows,
- AI assistant systems for internal teams,
- quality, verification, and trust layers,
- product systems that turn scattered signals into actionable decisions.