Sean Murray is a software engineer at Microsoft with two years of hands-on experience building production-ready systems and machine learning integrations. He blends a strong academic foundation from Johns Hopkins in computer science with applied research in medical imaging—using ML to segment retinal vessels—and production experience deploying ONNX Runtime with GStreamer for real-time edge inference. Sean is data-driven and enjoys breaking complex problems into elegant, performant solutions, demonstrated by internships at Microsoft and Amazon where he delivered cross-platform plugins and optimized algorithms for operational workflows. An active teacher and mentor, he has supported CS students as a TA, debugging code and shaping course material, and previously led coding camps for younger learners. Outside engineering, he finds patterns in music through guitar and balances a tech focus with an appreciation for nature and healthy living, a perspective that informs his curiosity-driven approach to interdisciplinary problems.
A solution accelerator project harnessing the capabilities of Azure AI Language to augment an existing Azure OpenAI RAG chat app. Utilize Conversational Language Understanding (CLU) and Custom Question Answering (CQA) to dynamically improve a RAG chat experience.
Contributions:36 PRs, 21 pushes, 2 comments in 4 months
Contributions:6 PRs, 36 pushes, 4 branches in 8 days
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