Croatia
I am a seasoned AI / ML and SWE architect with a strong focus on AI innovations, including traditional Machine Learning, Deep Learning, and Generative AI. My work primarily involves collaboration with Silicon Valley-based tech leaders to pioneer advanced technologies in AI. As a PhD specializing in multi-agent systems, I am deeply committed to designing and implementing highly efficient, scalable solutions ready for production environments. My enthusiasm for mastering new technologies and skills is boundless, and I thrive on tackling new challenges.
Developed a diagnostic tool for evaluating datasets and annotations used in machine learning models, both supervised and unsupervised. This tool offers critical insights for enhancing model performance and accuracy. Contributed to the design and implementation of a microservice architecture for processing over 1 billion assets, involving the integration of a high-capacity API, a horizontally scalable database, and efficient processing pipelines for large-scale data management. Engineered a comprehensive Catalog product designed for effective searching within an extensive collection of over 1 billion structured and unstructured data entries. This product features advanced, highly customizable filtering options to streamline data retrieval. Collaborated in the development of advanced search technologies, including scalable similarity search and natural language processing. These technologies enable the delivery of highly relevant search results in less than 5 seconds, emphasizing efficiency and precision. Contributed to the development of a high-throughput ingestion pipeline that efficiently processes and serves billions of assets, ensuring scalability, reliability, and optimized performance for large-scale data operations. Tech: Python, NodeJS, MySQL, React, GraphQL, Elasticsearch, Python, ETL pipelines, GCP, Spanner, GraphQL (+ many more)