Remote, Global, US
Summary
Led the technical vision and development of an AI-driven content platform, leveraging advanced AI/ML technologies and modern web frameworks to deliver scalable solutions.
Highlights
Spearheaded the design and development of an AI-driven content platform using TypeScript, Next.js, Node.js, and Hono, integrating LLMs and vector databases to enable efficient Retrieval-Augmented Generation (RAG) capabilities.
Engineered a custom vectorization pipeline utilizing Supabase GTE on a VPS server, enabling efficient extraction, chunking, and similarity search of data from diverse document formats (PDFs, DOCX, TXT) stored in PostgreSQL.
Orchestrated the deployment of scalable microservices across AWS (Lambda, ECS, S3) and Cloudflare Workers, significantly optimizing platform performance and reliability for high-traffic demands.
Defined and executed the technical roadmap for the AI platform, ensuring alignment with product vision and business objectives, and guiding architectural decisions for future scalability and innovation.