Suyash Srivastava
Senior Staff Software Engineer @Palo Alto Networks
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WORK HISTORY
Senior Staff Software Engineer @Palo Alto Networks
Santa Clara, CA, US
EDUCATION
Savitribai Phule Pune University
Bachelor of Engineering, Electronics and Telecommunication
Carnegie Mellon University
Master's degree, Management Information Systems, General
ABOUT SUYASH SRIVASTAVA
Currently working on network security solutions and firewall configurationBut I am also learning how a machine learnsThere is no denying that technology has seen massive shifts in recent times, making way for a host of possibilities that were unimaginable just two decades ago. I see myself contributing to this rapid transformation of technology. I desire to be a technology leader like Sir Timothy Berners-Lee when he created the World Wide Web. I want to emulate Steve Wozniak\'s drive for innovation when he built the personal computer and Linus Torvalds\' intent when he developed the Linux kernel. Like them, I wish to dive deeper into the problems and processes that give birth to new technology.At Palo Alto Networks, I work on network security, firewall configuration, and managing and designing firewall policies. My role involves ensuring robust security implementations, optimizing firewall rules, and maintaining secure network architectures for enterprise environments.Previously, as part of the Machine Learning capability at Deloitte Consulting USI Studios, I worked on computer vision and natural language processing solutions using machine learning and deep learning. I applied my skills in developing image processing solutions for Deloitte’s in-house document processing tool and for Waste Management’s AI-driven totter video analysis. Additionally, I became proficient in exposing these core components as services by building scalable and robust microservices and deploying them across cloud platforms such as AWS, Azure, and Heroku. As a consultant, I also chaired teams of developers, mentoring and training them to accelerate project execution.You’ll find me drumming to alternative rock, progressive metal, and indie songs when I am not training models or developing. I also like to hike and go camping in the woods.By combining the finest of graduate learning from Carnegie Mellon University with my prior professional experience, I aim to advance the field of intelligent systems, pushing the boundaries of what machines can learn and accomplish. With the copious amount of possibilities to grow, I seek to take my dream flight beyond the clouds while being noticeably conducive to the tide.
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