• Architected and deployed large-scale AI models for tax document processing using Pytorch. Implemented containerized deployments on AWS and Azure with Docker and Kubernetes, automated via Github Action.• Developed and implemented an industrial anomaly detection system, minimizing false positives and improving early fault detection.• Engineered critical network infrastructure and internal tools using Go.• Led a 4-person team in developing a GPT-integrated AI application, deployed serverless with AWS Lambda, optimizing for high request volumes while significantly reducing operational costs.• Designed and implemented RAG-based systems with Miluvs vector database, improving query resolution speed and achieving sub-second query times on million-entry datasets.

• Performed research on NeRF (Neural Radiance Fields) networks for spatial audio coding, developing a novel architecture for implicit representation of audio• Engineered a new model suitable for embedding in real-time applications