Hard Calls Under Huge Pressure - 2026
GenAI Engagement
+12% engagement on ~50K MAU
ering
Context
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AI newsletter (15 sources), localized by geo & language (FR, IT, EN, PL)
Challenge
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Compliance blocking go-live
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Limited capacity (revenue-critical projects)
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Needed reliable AI output in production
Decision
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Built multi-source GenAI pipeline (filtering + ranking)
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Enforced source validation (high-signal only)
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Chose quality over full automation
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Split team to deliver in parallel
Trade-off
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Automation vs control
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Speed vs compliance
Outcome
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Feature ready before approval
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+12% engagement on ~50K MAU
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No impact on revenue roadmap
Winter Olympic Games
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+10K new users (from ~150K MAU)
+13% increase in average ticket size
ering
Context:
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Token launch tied to a fixed Olympic deadline (2 months)
Full build: backend, frontend, smart contracts
Challenge:
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Strict regulatory constraints + compliance bottlenecks
High business pressure + zero flexibility on timeline
Decision:
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Prioritized time-to-market over technical perfection
Accepted backend technical debt (hardcoded logic)
Trade-off:
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Speed & market timing vs long-term code quality
Outcome:
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Successful go-live on deadline
Captured a time-critical market opportunity​​
Backend Architecture Migration
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↓ (clave), 0 downtime / 0 service interruptions, 0 financial loss during migration
Context:
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Migration from monolith to microservices in a 24/7 crypto trading environment
Challenge:
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No downtime allowed (live market always active)
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High risk: failures = direct financial loss
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Needed to improve latency without breaking the system
Decision:
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Executed phased migration (service-by-service)
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Prioritized latency reduction and system stability
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Deployed during low-activity windows
Trade-off:
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Migration speed vs system reliability
Outcome:
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Reduced latency → improved trade execution
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0 downtime, 0 incidents, 0 financial loss
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Enabled scalable microservices architecture
Customer jouney
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↓ (clave), 0 downtime / 0 service interruptions, 0 financial loss during migration
Context:
-
Token launch tied to a fixed Olympic deadline (2 months)
Full build: backend, frontend, smart contracts
Challenge:
-
Strict regulatory constraints + compliance bottlenecks
High business pressure + zero flexibility on timeline
Decision:
-
Prioritized time-to-market over technical perfection
Accepted backend technical debt (hardcoded logic)
Trade-off:
-
Speed & market timing vs long-term code quality
Outcome:
-
Successful go-live on deadline
Captured a time-critical market opportunity​​
ML in production
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↓ (clave), 0 downtime / 0 service interruptions, 0 financial loss during migration
Context:
-
Token launch tied to a fixed Olympic deadline (2 months)
Full build: backend, frontend, smart contracts
Challenge:
-
Strict regulatory constraints + compliance bottlenecks
High business pressure + zero flexibility on timeline
Decision:
-
Prioritized time-to-market over technical perfection
Accepted backend technical debt (hardcoded logic)
Trade-off:
-
Speed & market timing vs long-term code quality
Outcome:
-
Successful go-live on deadline
Captured a time-critical market opportunity​​
Examples
I specialize in accelerating releases, reducing costs, and turning complex or declining products into scalable, revenue-generating solutions.
HOW I WORK IN B2B
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I work hand by hand in collaboration building products using agile with: Business + UX + Technology
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Prioritization under pressure: a real product challenge.
"After identifying that the 5 key initiatives were aligned with the business and user needs, I found that 4 of them were critical with the same score. Two of these initiatives had a direct impact on clients and SLA, while the other two affected operational metrics and infrastructure. Since the team only had capacity for 3 initiatives in the sprint, I prioritized the 2 related to clients and SLA and chose one operational initiative with the greatest immediate impact. This prioritization was clearly communicated to stakeholders, helping align expectations and ensure the most critical initiatives were tackled first."
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In moments like this, product isn’t about doing everything — it’s about choosing what matters most.
MORE EXPERIENCE MORE REVENUE ACHIEVED
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PRODUCT APPROACH

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Focus on impact: I solve real user problems and prioritize what drives revenue, retention, and scalability.
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Collaborative by design: I align business, tech, and UX from day one to ensure speed and feasibility.
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Data-driven decisions: I define success metrics, validate solutions fast, and iterate based on evidence.
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End-to-end ownership: From vision to delivery, I turn complex challenges into simple, trusted products.

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