• Built TaxShave, an AI tax optimization app for independent contractors, with secure banking integrations and backend AI systems.
• Developed a Grant Management CRM for universities and nonprofits, managing grants, funding, and compliance-aware financial tracking.
• Designed scalable data pipelines and backend APIs for both platforms.
• Shipped production mobile apps using React Native integrated with AI backends.
• Led system architecture, infrastructure design, and performance optimization.
• Supported team growth by onboarding engineers and establishing best practices.

• Supported leadership in identifying and scoping AI-driven product opportunities.
• Contributed to early GlobalSKU marketplace initiatives focused on seller workflow automation.
• Researched seller pain points across multi-platform listings (Amazon, eBay, Shopify).
• Led development of AI-powered product identification, pricing, and listing generation systems.

• Designed, trained, and deployed a production-grade Korean-language text-to-speech (TTS) system, replacing AWS Polly and reducing speech synthesis costs by approximately 80 percent.
• Owned the full TTS pipeline, including data preprocessing, model architecture selection, training, evaluation, and inference optimization for low-latency production use.
• Built and deployed applied ML solutions across NLP, computer vision, and audio domains, tailoring model architectures and inference pipelines to project-specific performance and accuracy requirements.
• Integrated ML models into production systems through backend services and APIs, ensuring reliability, scalability, and monitoring in live environments.

• Architected and built a backend-first grant and fund management platform for universities and nonprofits.
• Implemented systems for grant lifecycle management, funding allocation, and disbursements.
• Designed scalable data models and workflows for compliance-aware financial tracking.
• Built secure APIs supporting audit-ready records and institutional customization.

• Built AI and backend systems for tax optimization, with secure Plaid banking integrations.
• Designed pipelines for receipt parsing, transaction classification, and deductible expense detection.
• Developed APIs for AI inference, expense categorization, and tax-readiness insights.
• Shipped a production React Native (Expo) mobile app integrated with the AI backend.

• Built AI systems for photo-based product identification, pricing, and automated multi-marketplace listing creation.
• Implemented computer vision pipelines for image/barcode recognition and product attribute extraction.
• Developed a price estimation engine using historical sales data, time-series analysis, and regression models.
• Leveraged LLMs to generate SEO-optimized listings for Amazon, eBay, Walmart, Shopify, and Facebook Marketplace.

• Proposed optimized feature extraction and classification methods.
• Identified key features for stable relationship prediction.
• Achieved 87% prediction accuracy through better feature selection and model tuning.

• MBA dissertation on AI readiness in banks, focused on how organizations adopt AI in practice.
• Interviewed banking stakeholders to understand adoption challenges and constraints.
• Turned research findings into practical recommendations for AI rollout and change management.

Relevant Courses: Consumer Behavior Analysis, Business Analytics, Managerial Communication, Research Methods