Back to Projects
GenAI Translation Pipeline
LLM-powered translation system that cut turnaround time by 20% at Lingpad
March 2026
Key Highlights
20% reduction in client turnaround timeFlexible multi-provider LLM architectureClient-specific glossary and translation memory systemProduction-grade prompt engineering layer
Technologies Used
PythonDjangoPostgreSQLRedisLLM APIsPrompt EngineeringREST APIs
Led the end-to-end design and implementation of an LLM-powered translation pipeline for Lingpad's localization platform. Evaluated multiple LLM providers, built a flexible provider-switching architecture, and designed the prompt engineering layer. Also built a client-specific glossary and translation memory system that eliminated terminology inconsistencies. The system became a core product differentiator and directly contributed to a 20% reduction in client turnaround time.