Hi, I’m Yuvam Bhargav, a Computer Science student at Arizona State University who enjoys turning ambiguous problems into products people actually use. I like working at the intersection of AI/ML and full-stack engineering, with a focus on reliability, speed, and a clean experience.
Lately I’ve been building GenAI features, recommendation systems, and data pipelines with solid observability and caching. I like building fast prototypes that turn into maintainable, and scalable systems.
TikTok-style product swiper powered by embeddings + vector search with a RAG layer. Focus on fast recommendations, caching, and an eval harness.
Containerized workers for async pipelines (Celery) with Redis/Postgres, MQTT events, and API gateway. Emphasis on observability and retries.
Worked on cutting-edge VR/AR applications and data visualization projects.
Collaborated with cross-functional teams to analyze and optimize data pipelines, ensuring improved performance.
Pursuing advanced studies in Computer Science with focus on ML and AI.
A 2-Day hackathon where students from various backgrounds come together to innovate and create impactful projects.
200+ Participants
10 Industry Mentors
5 Partners