Summary
Aditya Chinchure is a researcher and PhD student at UBC Computer Science with a decade-plus of experience building ML systems that bridge computer vision, NLP, and commonsense reasoning. As a Graduate Research Assistant in the UBC Computer Vision Lab he develops transformer-based multimodal models and collaborates with faculty and industry (including a Borealis AI internship on financial time-series transformers). His background blends applied engineering—past roles in web development, cloud-scaling, and ML internships—with rigorous research that has produced peer-reviewed publications. Comfortable moving between code, datasets and theory, he has also contributed to privacy-preserving ML pipelines (LEAP) and practical NLP tooling during industry stints, reflecting a knack for turning research ideas into usable systems.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of British Columbia
High School Science, High School Science at The Orchid School
English, Marathi, Hindi