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Lazylines

As Lead Software Engineer at Lazylines, I spearheaded the development of a scalable web application that leverages modern technologies and AI capabilities. I engineered both frontend and backend systems, implemented AI-powered features using multiple LLMs, and established robust infrastructure and testing practices.

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  • Aug, 2022 ~ Current
  • Full-Stack Development
  • AI/ML Integration
  • System Architecture
The bepro video analysis platform.

Achievements

- Developed a responsive and scalable web application using React, TypeScript, and modern frontend technologies, while engineering a high-performance backend with Node.js, PostgreSQL, and GraphQL.

- Integrated multiple Large Language Models (LLMs) including OpenAI, Azure OpenAI, and Anthropic to enhance content generation workflows and built a RAG chatbot using Azure Cognitive Search.

- Implemented comprehensive third-party API integrations with major social platforms for seamless data aggregation and content analysis, significantly improving user engagement.

- Designed and implemented a caching system using Azure Redis Cache and integrated Datadog for monitoring, APM, and log management to ensure optimal system performance.

- Established robust testing practices including E2E testing with Cypress and unit testing with Jest, while maintaining CI/CD pipelines using Jenkins for reliable deployments.

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