About Me
I like solving challenging problems and building systems that work reliably at scale. Over the past
few years, I’ve worked on projects spanning applied AI, machine learning, and backend development,
often where performance and efficiency matter as much as correctness.
I’ve designed and deployed agentic AI workflows, optimized inference pipelines to cut costs
and improve response times, and built backend systems that integrate seamlessly with real-world
applications. At the same time, I’ve worked on distributed systems, cloud deployments, and
microservice architectures, giving me a strong foundation in software design and scalability.
What drives me is curiosity—whether it’s fine-tuning a model, rethinking a data pipeline,
or squeezing out bottlenecks in a complex system. I enjoy the process of understanding a problem
deeply and iterating toward a solution that is both elegant and practical.
Utkarsh Upadhyay
