Summary
Xhoni Shollaj is a Senior AI Solutions Engineer based in Singapore with six years of experience building production AI systems, automations, and data platforms across industry and academia. At NVIDIA he architects end-to-end internal tools and researches LLM-based agentic workflows while training and fine-tuning models for enterprise partners, and he also teaches for the Deep Learning Institute. His background blends an MS in Analytics and a BBA in Finance & IT, enabling him to bridge technical ML work with business impact—previous roles at EY and PwC drove automation and NLP solutions that boosted team efficiency and tax-processing automation. As an AI researcher at NUS he led patentable work in AIGC and LLMs and managed research teams to publish and win global competitions. He’s comfortable shipping cloud-hosted ML apps, optimizing data pipelines, and turning complex analytics into dashboards and revenue-driving insights. Colleagues describe him as a builder who pairs hands-on engineering with effective team leadership and cross-functional communication.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Business Administration (BBA) Finance and IT, Bachelor of Business Administration (BBA) Finance and IT at American University in Bulgaria
Master of Science - MS Analytics, Master of Science - MS Analytics at National University of Singapore
English, Albanian, Greek