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Leadform Campaign Development
- Objective
- To drive higher lead acquisition for advertisers by building trusted in-app Leadforms, eliminating the need for external redirects.
- Role
- Designed the project architecture and led backend development of the Leadform campaign feature within the DSP team.
- Technologies Used
- Kotlin, Spring Boot, JPA, MySQL, Redis
- Key Achievements
- Boosted lead conversion by 135% compared to outlink-based campaigns by successfully launching an in-app Leadform system that enhanced user trust and streamlined the data collection process.
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Expert Mode Inquiry Board Development
- Objective
- To enhance advertiser support efficiency by replacing fragmented email inquiries with a structured inquiry board for Expert Mode users.
- Role
- Led backend development of the inquiry board system in the DSP team, implementing file attachment management, administrator response notifications via email, and satisfaction rating features.
- Technologies Used
- Kotlin, Spring Boot, JPA, MySQL
- Key Achievements
- Successfully launched the inquiry board feature, improving advertiser inquiry resolution tracking and reducing context loss, thereby enhancing overall support experience for Expert Mode advertisers.
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AI Consulting Tool for Small Advertisers
- Objective
- To help small advertisers easily diagnose their ad performance and receive AI-driven actionable recommendations to improve campaign performance.
- Role
- Led all backend development for the AI consulting tool within a cross-functional squad, analyzing ad creatives, budgets, targeting, and scheduling to generate optimization suggestions.
- Technologies Used
- Kotlin, Spring Boot, MySQL, Redis, BigQuery, Spring Batch
- Key Achievements
- Launched an AI consulting feature that analyzes advertiser settings against top-performing industry benchmarks and delivers actionable insights within 10 seconds, enabling one-click application to boost campaign performance for small advertisers.
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Admin Tool for Generating Sample Ad Performance Data
- Objective
- To streamline UI/UX testing of advertising dashboards by enabling manual generation of sample ad performance data through an admin tool.
- Role
- Developed backend functionality to generate synthetic performance data on demand via the internal admin system, replacing the need for manual ad interactions or mock API setups.
- Technologies Used
- Kotlin, Spring Boot, Druid
- Key Achievements
- Reduced ad performance testing time by enabling faster and more controlled creation of test datasets, improving development and QA efficiency for dashboard updates.