My name is Shubh, and I’m an ex-NVIDIA developer with a strong focus on AI and full-stack engineering. I graduated from the University of Western Ontario with an Honors Specialization in Computer Science and a minor in Software Engineering. During my time at NVIDIA, I worked on high-performance computing initiatives that strengthened my understanding of systems-level optimization and large-scale engineering. Beyond NVIDIA, I’ve gained experience across AI-driven healthtech, banking at the Royal Bank of Canada, and enterprise IT at Allied Digital - giving me a well-rounded engineering perspective. I’ve also actively participated in major North American hackathons, including Stanford’s TreeHacks, UofT Hacks, and HackWestern.

I’m looking to connect with collaborators and teams working at the intersection of AI, applied machine learning, and full-stack product development. I’m particularly interested in: AI agents and conversational systems Computer vision pipelines and real-time video analytics Scalable backend systems and high-QPS architectures ML infrastructure, vector search, and retrieval-augmented systems End-to-end applications combining AI with real-world workflows (legal tech, automation, security, etc.)