I am a Software Engineer working at the intersection of AI and infrastructure applied to large-scale data systems. Currently, I am building distributed database systems to scale AI training and inference workloads, having previously focused on the automated classification of sensitive data assets for privacy-preserving systems and developing coding evaluations for Agentic AI models.
I graduated from the University of Wisconsin, Madison with a Master of Science in Computer Science and Engineering. Previously, I completed my B.E. at the College of Engineering, Guindy, Anna University.
My broader experience spans full-stack software development, machine learning systems, and connected-vehicle telematics pipelines. I enjoy designing elegant solutions to complex system architecture problems.
Senior Software Engineer, Storage Infrastructure
Meta, Menlo Park, USADesigning and scaling distributed database infrastructure to support large-scale AI training and inference workloads.
Focus: Distributed Databases
Senior Software Engineer, Applied AI
Meta, Menlo Park, USAAuthored software engineering benchmarks to measure AI model capabilities, and developed production-ready LLM developer tools.
Focus: AI Evaluations
Senior Software Engineer, Privacy Infrastructure
Meta, Menlo Park, USADeveloped machine learning classifiers and rule engines to automate privacy labeling, column classifications, and compliance enforcement across billions of records.
Focus: Privacy Infrastructure
Software Development Engineer
Motorq, SF Bay Area, USALed the data contracts architectural design and engineered telematics observability pipelines for connected vehicle source devices.
Focus: Telematics Pipelines
Get In Touch
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