Launched a Gaming Product from 0 to 1M Users

Scaled the product from concept to 1M+ registrations, 60K DAU, and 20K MAU in 12 months.

Managed a cross-functional team of 30+ (Dev, DevOps, GameDesign), introduced Agile workflows and CI/CD improvements.

Increased average session time by 500% (10 mins → 1 hour) through game balance redesign and reward system revamp (ABC tests).

Reduced churn rate by 15% using CJM-based onboarding, tracked with Hotjar and Amplitude.

Localised the product into 8 languages, forming partnerships with local KOLs based on GEO analytics.

As a computer vision expert, I was consulted to address the challenge of facial pore recognition for a beauty application. The problem involved accurately identifying and measuring individual pores on various skin types and tones. To tackle this, I designed an algorithm that could adaptively capture high-resolution images and extract relevant features. Leveraging machine learning, I trained a model on a comprehensive dataset that I helped gather, comprising different face images under various lighting conditions. The resulting algorithm could recognize and measure individual pores with high precision, providing personalized skincare recommendations to users, and thereby enhancing the app's user experience.

Goal: Increase revenue by 2x in 12 months. Initiatives: Identified key metrics that are important for revenue. Clustered and segmented users. Established conversions that need to be monitored daily. Worked with data team to build monetization dashboards. Defined and owned the strategy and execution of changes to be made in monetization. Results: Revenue increased by 2.5x in 12 months. Conclusion: The key to success was identifying the right metrics to track, clustering and segmenting users, and establishing daily monitoring of conversions.

• Developed a thematic social platform with game-like functionality.
• Migrated codebase from Angular 8 to Angular 9.
• Integrated calendar API, improved performance (Lighthouse), and implemented SEO meta tags.
• Built responsive templates, multilingual support, and login via Google/Facebook.
• Deployed via Firebase Functions and structured local/session storage.

TinderGPT is designed as an AI assistant to streamline the dating experience, sparing users from the time-consuming and often uncertain process of messaging on dating apps. This AI handles everything on behalf of the user—from initiating conversations with messages tailored to the profile in question, crafting engaging interactions, to arranging dates and providing the user with the match’s contact information.