Sailesh Baidya is an experienced engineer leader based in Redmond with 8+ years of professional experience building secure, scalable backend and distributed systems that serve millions of users. He combines deep low-level expertise (Windows kernel, ARM, device drivers) with modern cloud and AI/ML stacks—designing HIPAA-compliant data platforms, high-throughput ingestion pipelines, and LLM-powered summarization for healthcare. At Microsoft he delivered reliability and security improvements (including a patented device reliability feature) and built ML monitoring and artifact encryption capabilities; at Curative AI he led cross-team efforts to accelerate onboarding, tenant isolation, and automated clinical workflows. Comfortable across Python, C++, Java/Scala and platforms like Azure, AWS and Databricks, he often bridges infrastructure-as-code, federated indexing, and operational monitoring to reduce time-to-value. Notably, he blends hands-on system design with product-minded delivery—shipping pragmatic solutions that improve operational productivity by an order of magnitude.
8 years of coding experience
18 years of employment as a software developer
MS Specialization in High Performance Computing and Molecular Modelling Computer Science, MS Specialization in High Performance Computing and Molecular Modelling Computer Science at Texas Tech University
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Kathmandu University (KU)
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Sailesh Baidya - Engineer Leader at Curative AI, Inc.