Bahni Mahariasha

Delivered LLM-based autosegmentation system for over 1 million dynamic contents and an ML-based recommendation system, increasing content engagement from 50% to 75%. Built a CRM system for push notifications and carousel banners, reducing annual marketing costs by $150K USD.

Facilitated scoping with business units using user stories and drove agile ceremonies, delivering over 15 new products from 3 different verticals within a year. Improved continuous discovery and testing strategy by organizing regular user interviews and bug bounties.

Assessed third-party AI face recognition authentication libraries and delivered API integration, reducing daily account hijacking cases by approximately 90%. Evaluated and suggested optimization for ML fraud detection models, reducing false positives to around 25%.

Increased platform usability and scalability with the redesign of Gojek's customer and driver app homescreens. Conducted funnel analysis and field research in remote areas, suggesting product improvements to business, engineering, and product leaders based on findings.

Engaged with customers to understand analytics requirements and enhanced dashboard data visualization. Collaborated with cross-functional teams to deliver improved data insights.

Grade: 3.18 of 4.00

Studied Computer Science at BINUS University, focusing on core principles and applications. Achieved a GPA of 3.18 out of 4.00.