Delivery examples with measurable business and technical impact.

Challenge: Early growth exposed onboarding bottlenecks and content delivery latency.

Approach: We redesigned activation flow, optimized backend data access and introduced product analytics checkpoints.

Result: Reached 40% month-over-month growth after launch optimization.

Broader impact: Acquisition experiments turned into predictable growth with stronger retention in early cohorts.

Stack: Next.js, TypeScript, PostgreSQL, AWS

Challenge: Marketplace operations were constrained by response-time volatility and uneven routing quality.

Approach: We introduced queue optimization, clearer escalation logic and release guardrails for support workflows.

Result: Reduced average support response time by 55%.

Broader impact: Support operations became faster and more consistent during high-traffic periods.

Stack: React, Node.js, Redis, Stripe

Challenge: High traffic did not convert effectively due to onboarding friction and weak learning-path guidance.

Approach: We rebuilt onboarding states, aligned UX with learning outcomes and tracked funnel leaks weekly.

Result: Improved activation rate by 31% after onboarding redesign.

Broader impact: Activation improved while product teams gained clearer visibility into conversion drivers.

Stack: Next.js, Python, PostgreSQL, Segment

Challenge: Throughput growth risked platform instability and escalating infrastructure costs.

Approach: We optimized real-time pipelines, tuned bidding logic and improved observability for critical services.

Result: Scaled bidding throughput without increasing infra cost.

Broader impact: Platform scaled transaction volume while preserving cost efficiency and reliability.

Stack: Vue, Node.js, ClickHouse, Kafka

Challenge: Manual operations reduced CRM throughput and slowed campaign execution.

Approach: We automated lead enrichment flows, standardized data handling and streamlined reporting paths.

Result: Cut manual lead processing time by 60%.

Broader impact: Operations shifted from manual processing to repeatable workflows with better output quality.

Stack: PHP, Python, MySQL, Redis

Challenge: Traffic acquisition was strong, but lead qualification and funnel progression underperformed.

Approach: We restructured acquisition flows, improved scoring logic and deployed iteration loops for campaign assets.

Result: Increased qualified lead conversion by 27%.

Broader impact: Qualified conversion improved with more predictable performance across channels.

Stack: Angular, Firebase, Stripe