Mountain View, California, United States
I am a curious engineer focused on scaling the future of AI. Currently, I work on Machine Learning Core Infrastructure, ensuring the global availability and performance of Google’s Large Multimodal Models. I am a key contributor to the unified serving stack for Nano Banana, Gemini’s state-of-the-art image generation and editing model, and Gemini 3/Gemini 3.5 Flash - across Vertex AI, AI Studio, and Gemini. Technical Impact • Google DeepMind: Scaling inference engine for Gemini 3, Nano Banana -and any new model by Google Deepmind in the future. • Systems Infrastructure: Previously built embedded/software systems for Google’s BMC team. • Amazon: Engineered "Buy with Prime" retail widgets, Ads traffic initiatives, and Transportation Optimization engines. • Education: M.S. in Computer Science from the University of Southern California. I am a collaborative teammate driven by the belief that thoughtful software architecture is the key to technological evolution.
Created software for teams like Transportation Optimization that takes care of optimizing route planning at amazon delivery. Also worked on creating software for "Buy with Prime" widget, which is the new pillar of Amazon retail.
Created AR application catering to environmental challenges. Responsible for designing a complete end to end solution for Internet of Things and App Development on mobile and web based platforms Tech Stack: Node.js, C#, Unity, Mapbox, AWS