Preksha Butani
Senior Software Engineer @Mizuho OSI
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WORK HISTORY
Senior Software Engineer @Mizuho OSI
Union City, CA, US
Designed and delivered a secure IoT architecture for orthopedic surgical tables, enabling 100% reliable telemetry and log upload across 50+ edge devices using Azure IoT Hub and TPM-based identity provisioning- Developed Windows 10 IoT Enterprise background services in C# for secure device registration, TPM attestation, and file-based telemetry using Azure Blob Storage and Cosmos DB- Reduced onboarding time by 60% by implementing zero-touch provisioning via TPM and automating device twin configuration and certificate trust establishment- Integrated role-based access control (RBAC) using Azure Managed Identity and DefaultAzureCredential(), eliminating all stored secrets and improving cloud access security- Achieved 98% success in automated FFU and UWP app deployment using Azure IoT Device Update and custom script handlers- Enabled real-time log diagnostics with C2D messaging and dynamic twin syncs, cutting manual support overhead by 40%- Interfaced with embedded MCUs for motion control logic using UART/serial protocols, optimizing response times critical to surgical workflow- Collaborated with surgeons and hardware teams to fine-tune software responsiveness and align functionality with FDA-grade performance standards.
EDUCATION
California State University - East Bay
Master of Science - MS, Computer Science
Gujarat Technological University (GTU)
Bachelor of Engineering - BE, Computer Engineering
ABOUT PREKSHA BUTANI
I’m a Senior Software Engineer with 5+ years of experience designing secure, distributed IoT and cloud platforms. I’ve architected telemetry pipelines and OTA frameworks for 500+ production devices (~432K events/day), delivering fault-tolerant, ML-ready data flows and infrastructure-as-code automation.My background spans backend engineering (C#.NET, Python) and cloud infrastructure (Terraform, Kubernetes, distributed NoSQL). I specialize in building scalable, production-grade systems that ensure high availability, reliability, and observability.Currently, I’m expanding into Machine Learning and MLOps, building projects that combine AI with IoT — such as ML-powered telemetry analytics and secure provisioning workflows with anomaly detection at the edge.I thrive in fast-paced, high-impact environments where systems, data, and ML intersect — and I’m actively seeking roles in AI/ML Engineering, AI Infrastructure, or Smart Device Platforms where I can bridge my distributed systems expertise and ML focus to drive innovation at scale.
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