At Lengo AI, I built the Lengo Platform backend on GCP, using PostGIS to match client shops and points of interest across administrative units. I reduced shop-data retrieval from roughly 20 seconds to under one second and implemented an OpenAI embeddings chatbot with access-level-based knowledge retrieval.
Across Breezelearn, Alqen, and Vivid Labs, I delivered CI/CD systems, secure authentication, analytics backends, and high-throughput data pipelines. My work cut release cycles from two hours to 15 minutes, reduced infrastructure costs by 30%, improved query response times by more than 70%, and supported real-time NFT analytics and concurrent large-dataset analysis.
I’ve also built travel platforms and a multilingual IoT device backend, combining Python, TypeScript, cloud architecture, and production-focused engineering to ship reliable products.
