• Implemented a Supervisor Agent with a multi-agent architecture using LangChain,

enabling efficient coordination and task delegation among AI agents for faster and

more reliable automation.

• Developed a real-time transcription and diarization system, delivering fast,

speaker-separated transcripts that enhanced summarization quality.

• Optimized LangChain’s memory performance by building a custom Supabase

memory saver, reducing storage overhead and improving retrieval speed across

agent interactions.

• Cut LLM extraction latency by over 55%, reducing response time from 23 seconds to

10 seconds by optimizing the Extraction Agent’s design and flow, resulting in a

much smoother user experience.

• Resolved Airbyte localhost API issues, enabling smoother local development and

significantly reducing debugging time during data migration workflows.

• Built a full-stack, AI-integrated chat system with WebSocket-based real-time

messaging, providing instant, responsive interaction between users and AI agents.

• Spearheaded development of a cross-platform mobile app using React Native with

Expo, delivering a production-ready solution in record time with minimal support.

• Built and launched a full-stack infant care tracking system, enabling parents to

easily log and monitor feeding, pumping, sleep, health, and inventory.

• Integrated a personalized AI assistant that provides real-time insights and reducing

cognitive load for new mothers and improving care consistency.

• Developed a comprehensive solution for the restaurant business, integrating

Inventory Management, Menu Builder, Human Resource Management (HRM),

Kitchen Display System (KDS), and Point of Sale (POS) into a unified system.

• Led the project’s workflow synchronization and independently built the entire HR

Management module.