About

Pramod Shenoy is a highly skilled computer science graduate student at UW-Madison with over 2 years of experience in C++/Python development at Western Digital. He is currently working as a Deep Learning Software Engineer Intern at NVIDIA, where he is building and optimizing Deep Learning Libraries that will drive the field of AI. Pramod has extensive experience in the development of a middleware framework for Firmware Validation and device/driver interaction. He has implemented APIs for SATA protocol and enhancements for internal AHCI driver. He also has good knowledge of Windows APIs and Boost libraries, excellent debugging skills and cross-team development practices and integration. Previously, Pramod interned at Capital Float, where he worked on Java/Springboot for developing microservices for the fintech sector. He used AWS SQS and SNS to automate the APIs to be called for loan disbursals. He also designed and developed an internal Tax Filing System for GST using Springboot, jOOQ, and PostgreSQL. Pramod has participated in several hackathons and was selected in the final rounds at Booking.com's Demand API Hackathon(Amsterdam) and NEC Rural Education Hackathon (New Delhi). He has excellent skills in C++, C, Python, Java, React Native, Springboot, jOOQ, C#, Boost, and Android Development. Pramod has worked as a Software Development Engineer and Software Development Intern at Western Digital. He was critical in expanding the existing Firmware Validation Framework for SATA protocol, enhancing driver and framework performance by 400%. He was also solely responsible for adding Windows Driver support for the protocol and helped Validation and Regression Teams to set up the entire framework on over 1000 deployments. Pramod holds a Master's degree in Computer Science from the University of Wisconsin-Madison and a Bachelor of Technology in Computer Science from Manipal Institute of Technology. He completed his Higher Secondary from Indira National School. In summary, Pramod Shenoy is a highly skilled and experienced software engineer with expertise in Deep Learning, Software Engineer, Spring Boot, AWS, AI, Python, Java, Microservices, Integration, and Android. He has relevant experience of 3.03 years and is committed to developing innovative solutions in the field of AI and software engineering.