prabhdeep singh

ai researcher

quick intro

i’ve always enjoyed math & computers. my interest led me to programming, and eventually machine learning.

areas i love

computer vision, transformers, llms — anything ai.

currently reading

spivak calculus · insel linear algebra · awareness by a. de mello

hobbies

wrestling · gym · music · math · anime (lol)

research & experience

telesat: improve space object tracking

worked with engineers to implement sequential attention mechanisms for space object tracking. presented at canada's national stem fair.

carnegie mellon uni: time‑delay neural nets

working on understanding tdnn's, and creating a web demo to show how it works at a mathematical level.

harvard medical school:
ai × ophthalmology

creating an ai system for temporal inference on cataract surgery videos to assess the risk of posterior capsule opacification development.

ai consulting: google, microsoft, and interac

i consulted alongside google, microsoft, and interac, pitching ai-driven strategies to execs, including a $4.41b opportunity for google ads.

hack49 – intl. hackathon

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.

featured writing

calibrating ground-station data using ai.

i developed a way to improve space object tracking by creating a regression model that takes data from 3 different ground-stations...

domain-adversarial neural networks (DANN) — explained.

my learnings on DANN which introduces a new unsupervised domain adaption technique...

creating a frame interpolation model from scratch.

how I managed to to create a frame interpolation model, all from scratch...

building gpt — from scratch.

rebuilding the nitty-gritty of language models and transformers...

what’s next?

working on three papers, planning on publishing soon

hunting for innovative startups / labs — let’s chat.

reach out

email → prabhnannu07@gmail.com