
telesat: improve space object tracking
worked with engineers to implement sequential attention mechanisms for space object tracking. presented at canada's national stem fair.
i’ve always enjoyed math & computers. my interest led me to programming, and eventually machine learning.
computer vision, transformers, llms — anything ai.
spivak calculus · insel linear algebra · awareness by a. de mello
wrestling · gym · music · math · anime (lol)
worked with engineers to implement sequential attention mechanisms for space object tracking. presented at canada's national stem fair.
working on understanding tdnn's, and creating a web demo to show how it works at a mathematical level.
creating an ai system for temporal inference on cataract surgery videos to assess the risk of posterior capsule opacification development.
i consulted alongside google, microsoft, and interac, pitching ai-driven strategies to execs, including a $4.41b opportunity for google ads.
as co-founder of hack49, i led it to become one of canada’s largest hackathons—reaching 700k+ people, raising $20k, and partnering with global tech leaders like spotify, openbci, and elegoo.
i developed a way to improve space object tracking by creating a regression model that takes data from 3 different ground-stations...
my learnings on DANN which introduces a new unsupervised domain adaption technique...
how I managed to to create a frame interpolation model, all from scratch...
rebuilding the nitty-gritty of language models and transformers...
working on three papers, planning on publishing soon
hunting for innovative startups / labs — let’s chat.
email → prabhnannu07@gmail.com