Jiten Oswal
Jiten Oswal is an engineering leader and AI systems architect based in San Francisco with over 14 years of experience building large-scale data and AI infrastructure. He spent several years at Salesforce, earning 6 U.S. patents in cloud data and AI systems. Later, he founded and led an intelligent automation startup as CTO. Currently, he’s the founding AI Lead Engineer at a AI Startup developing an open-source AI Agent Platform for Enterprises.
Session
AI/ML workloads depend heavily on complex software stacks, including numerical computing libraries (SciPy, NumPy), deep learning frameworks (PyTorch, TensorFlow), and specialized toolchains (CUDA, cuDNN). However, integrating these dependencies into Bazel-based workflows remains challenging due to compatibility issues, dependency resolution, and performance optimization. This session explores the process of creating and maintaining Bazel packages for key AI/ML libraries, ensuring reproducibility, performance, and ease of use for researchers and engineers.