Suyash Srivastava

I am learning how a machine learns.

There 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.

As a part of the Machine Learning capability of Deloitte Consulting USI Studios, I have almost three years of experience in designing, implementing, and delivering 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 also for Waste Management's AI arm for processing totter videos. Additionally, I am efficient in exposing these core components as services by developing scalable and robust microservices. And subsequently deploying such service on multiple cloud platforms such as AWS, Azure, and Heroku to name a few. As a consultant, I have also chaired teams of developers along with training and bringing them up to speed in projects.

When I am not training models or developing, you'll find me drumming to alternative rock, progressive metal, and indie songs. (Scroll down for videos!) 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 go back to the industry to work in the field of AI and ML. The copious amount of growth possibilities is everything I seek in order to take my dream flight beyond the clouds while being noticeably conducive to the tide.

Fast ramp up on new areas and technologies.

Ability to coordinate across multiple teams and verticals.

Analytical and debugging skills.

Open source contributor.

Profound knowledge in Convolutional Neural Network (CNN), Computer Vision, Natural Language Processing (NLP) and Application Programming Interfaces.