At Microsoft, I build Autosuggest experiences that surface real-time rich answers as people type. I design C# and .NET backend logic, integrate responses into the production search pipeline, and optimize ranking for low-latency rendering.
I’ve eliminated runtime model usage from optimized Autosuggest responses, freeing 380 VMs, and designed A/B experiments for latency, engagement, and suggestion usefulness. Previously, as a Software Development Engineer Intern at Microsoft, I built backend plugins, workflows, frontend components, and production unit tests for shopping price-range experiences.
I also built a zero-dependency GPT-2-style language model in pure C++17, including a multi-head transformer architecture and CMake build system. I’m an IIT Jammu Silver Medalist with a strong foundation in algorithms, backend development, and performance optimization.
