Summary
Srivatsa prl is a Senior Machine Learning Engineer in San Francisco with a decade of experience translating cutting-edge research into production-grade AI systems. He currently builds memory and context infrastructure for enterprise AI agents at Sigma, having previously shipped diffusion and flow-based generative models at Apple. His background spans academia and product: MIT and Georgia Tech research on adaptive human-AI interaction, explainable AI, and data-efficient RL complement practical work on time-series, vision, and embedded ML. He’s co-founded two health AI startups, deploying predictive systems in clinical settings and designing patient-centered AI products, which gives him rare product+research empathy. Srivatsa is particularly focused on agent architectures that fuse structured context with robust system design to make generative models reliable collaborators in real-world workflows. Colleagues describe him as someone who consistently bridges frontier modeling with pragmatic engineering — e.g., cutting metric-extraction pipelines by orders of magnitude while keeping models deployable.
10 years of coding experience
10 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Bachelor of Engineering - BE Computer Science (Exchange Study), Bachelor of Engineering - BE Computer Science (Exchange Study) at Technical University of Munich
New Ventures Leadership, New Ventures Leadership at MIT Sloan School of Management
Bachelor's degree Computer Engineering & Innovation and Design Programme, Bachelor's degree Computer Engineering & Innovation and Design Programme at National University of Singapore