Vikram D is an Applied Scientist II at Microsoft with six years of experience building production ML systems and developer-facing AI features, most notably prototyping the Next Edit Suggestion model behind GitHub Copilot and contributing to Azure OpenAI retrieval and multimodal document support. He blends research rigor from a CMU master's in Machine Learning and UI-to-infrastructure engineering fluency from multiple Microsoft internships to ship finetuning pipelines, autograders with strong human alignment, and RAG capabilities used by millions. Comfortable moving between prototyping novel algorithms and hardening them for scale, he has hands-on experience in reinforcement learning for trading, fMRI denoising, and privacy-preserving federated systems. Based in Seattle, he brings a track record of turning cutting-edge research into practical product improvements that directly impact developer productivity.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Illinois Urbana-Champaign
Master's degree Machine Learning, Master's degree Machine Learning at Carnegie Mellon University
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