Shivakshit P.

About Shivakshit P.

Computer Vision Software Engineer with almost 3 years of experience at Amazon Web Services (AWS), where I orchestrated the training, fine-tuning, and deployment of advanced vision models, including YOLOv5 and Deep-Hough Transform, to enhance worker tracking in data centers. Contributed to the automation of machine learning operations and established robust data pipelines using AWS tools such as S3, Glue, Athena and QuickSight. Passionate about developing innovative software solutions. With a strong focus on leveraging AWS infrastructure, I facilitated efficient data handling and model inference workflows. Dedicated to creating impactful technologies that drive operational efficiency and improve decision-making processes.

Experience

1. Software Engineer (Computer Vision Engineer)

   Amazon Web Services (AWS)

   Oct 2021 — Present · Bellevue, WA, US

   Orchestrated training, fine-tuning, and deployment of advanced vision models (YOLOv5, Deep-Hough Transform, geometric computer vision methods) for accurate tracking of workers in AWS data centers.• Developed vision models for Human Detection, Recognition, Depth Estimation and Glove Detection.Also developed the software infrastructure for handling the inference from these models.• Automated machine learning operations (data labeling, hyper parameter tuning, and batch inference workflows) using AWS Sagemaker, Step Functions, and S3.• Built robust data pipelines and ETL workflows with AWS S3, RDS, Glue, Athena, and QuickSight to process and visualize inferences from computer vision models.• Strengthened infrastructure management through Infrastructure as Code (IaC), streamlining tech stack provisioning with AWS CloudFormation. This move helped reduce reliance on AWS console for resource management which is labor intensive and prone to manual errors.• Designed an intuitive UI in HTML and CSS to overlay camera fields of view on facility floor plans, helping identify blind spots and improve physical security.• Collaborated with cross-functional teams to establish real-time alarms, notifications, and monitoring systems using SNS, Lambda, and CloudWatch, enhancing AWS data center security.• Designed specialized software delivery mechanisms for restricted regions (e.g, China, UAE) to handle compliance challenges and limited data flow.• Served as SCRUM Master, conducting sprint planning, daily stand-ups, and retrospectives while tracking deliverables.• Provided comprehensive guidance and training to interns and new software developers, facilitating their understanding of the team’s technology stack and workflow processes to accelerate their integration and productivity.

Education

• Arizona State University

  Master of Science - MS, Computer Systems Engineering

• Birla Institute of Technology and Science, Pilani

  Bachelor of Engineering - BE, Electronics and Communications Engineering

  2012 — 2016