dohn G.

Dohn G. is a Senior AI / ML Engineer with over a decade of experience in developing production-grade machine learning systems and scalable backend architectures. His expertise primarily lies in designing Retrieval-Augmented Generation (RAG) systems and engineering high-throughput microservices capable of handling over 50,000 events per second. Dohn has a proven track record of significantly reducing API latency by 73% and enhancing ML processing performance by 30%, showcasing his capability in high-performance environments. At Lanex Corporation, he spearheaded AI-powered backend systems using Python and FastAPI, integrating LLM APIs like OpenAI for chatbot and recommendation systems. His role involved optimizing backend data streams with Kafka and crafting scalable REST APIs for enterprise use. Previously, at DataFlow Systems GmbH, he developed AI web applications and blockchain transaction services, evidencing a versatile skill set across various technologies including Python, PyTorch, TensorFlow, Kafka, and Spark. A Computer Science graduate from the University of the Philippines, Dohn continues to contribute significantly to AI and ML domains globally.