Start from the real bottleneck
I want to know what is actually wasting time, breaking trust, or making the work harder before I propose a process or a tool.
I’m a Product Manager
I work hands-on with tools like Codex, Claude Code, and n8n in my day-to-day workflow.
I do my best work in under-structured environments where product judgment matters more than process for its own sake.
- 6 years in digital and IT
- 28 projects delivered
- 14 clients
- Hands-on AI practice
About
A few things that matter in how I work
I like work that becomes clearer, cleaner, and more useful over time.
Build context early
I write things down early and keep context reusable because good documentation is memory, alignment, and faster decisions later.
Stay close to the outcome
I care about delivery, but I also care about whether the work still makes sense for users and for the business.
Keep ownership visible
I prefer transparent logic, visible tradeoffs, and work that does not turn into a black box.
Work
Selected work
Meeting follow-up automation pilot
Cut post-meeting follow-up from 60+ minutes per call to about 30
- OwnedI initiated the pilot, defined the automation scenarios, maintained the Outline context, tested outputs, and filed bug reports.
- Why it matteredThe real work was keeping the context complete enough for the agent to produce something useful, not just polished noise.
n8n, Fireflies, Productive, OpenAI, Telegram, Outline
Delivered 28 projects for 14 clients while keeping context and cross-functional work visible
- OwnedI handled discovery, requirements, technical context, and release logic instead of treating product thinking as someone else's layer.
- Why it matteredThe challenge was holding ambiguity early enough that design, engineering, QA, analytics, and clients could move without the work becoming a black box.
Technical specs, user scenarios, Shopify, WordPress, GA4, GTM, Looker
Reached 500+ monthly SEO visitors and 1.75% conversion before shutting it down cleanly
- OwnedI researched the niche, built the offer, automated delivery, and tracked the numbers end to end.
- Why it matteredThe useful part was seeing that the economics mostly never worked and making a clean decision instead of dragging the project forward.
Tilda, Make.com, Google Sheets, Notion API, email automation, Telegram bot
AI
I use AI where it earns its place
I use AI to structure context, reduce repetitive work, and test workflows faster. What matters to me is not the demo, but whether the system stays useful under real constraints.
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Context matters more than prompting
Useful output usually comes from better context, clearer boundaries, and cleaner inputs.
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Human review stays in the loop
I use agents to draft, test, and reduce follow-up work. I do not outsource judgment.
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Real use is messy
If nobody mentions friction, verification, or failure modes, I trust the story less.
Activity
Live Apple Health snapshot
Workouts, sleep, steps, and consistency from Apple Health. Reading Ray Dalio's Principles was part of what made me care enough about transparency to keep this public.
Contact
If this feels relevant, reach out
I'm open to Product Manager and product-adjacent roles, and to consulting conversations around practical AI workflows. If you're already building with AI or want to start but need a clearer way in, I'd be glad to talk.