Summary
Sushant Gautam is a final-year PhD student in Multimodal AI based in Oslo, combining a decade of hands-on engineering with research at the intersection of vision–language models, medical AI, and trustworthy ML. He builds robust, efficient, and interpretable multimodal systems, with publications and cross-sector collaborations that bridge academic insights and production-grade deployments. His background includes leading engineering teams and shipping end-to-end ML systems—from deep learning and LLM/VLM fine-tuning to scalable AI platforms—alongside mentoring students and contributing to international AI initiatives. Selected for The Alan Turing Institute’s Enrichment Scheme, he actively translates research into applied tools (e.g., clinical VQA datasets and video summarization work) while engaging in public-facing events and community leadership. Unusually for a researcher, he also has practical disaster-communications experience as a licensed amateur radio operator, reflecting a consistent focus on socially useful technology.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The Alan Turing Institute
Master of Engineering - MEng, Informatics & Intelligent Systems, Master of Engineering - MEng, Informatics & Intelligent Systems at Tribhuvan University, IOE, Thapathali Campus
Lower Secondary Level, Maths, Lower Secondary Level, Maths at New English School
Computer Engineering, Computer Engineering at University of Oslo
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Tribhuvan University, IOE, Pulchowk Campus
High School Diploma, Computer Science, High School Diploma, Computer Science at Premier College
Computer Engineering, Computer Engineering at OsloMet – Oslo Metropolitan University
Norwegian, Nepali, Hindi, English