Software Engineer @ Meta | ex-Amazon

Greater Seattle Area

Seattle, Washington, United States

Seattle, Washington, United States


Cincinnati Area, KY






Bachelor's degree, Electrical Engineering and Computer Science
University of California, Berkeley

High School Diploma
William Mason High School
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I’m a software engineer at Meta, with experience developing full-stack systems and designing high-scale services and intuitive UI experiences. I’m passionate about robotics, computer vision, and sports analytics, and enjoy exploring how technology can improve these fields. I thrive in fast-paced environments and am always looking for opportunities to grow, solve complex problems, and make a meaningful impact. Feel free to connect and contact me at praneeth.v.kanna@gmail.com
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Software Engineer at Meta, Feb 2026 - Present · 7 mos, Greater Seattle Area
Software Engineer at Amazon Web Services (AWS), Feb 2023 - Dec 2025 · 2 yrs 11 mos, Seattle, Washington, United States, - Developed a multi-regional ECS Fargate API service for Pipelines data, serving 18,000 requests per minute. The API provided customers the ability to track deployments, perform pipeline actions, and integrate with other internal Amazon microservices. Utilized AWS Global Accelerator, DynamoDB, and AppConfig. - Contributed to the modernization of the Pipelines website, migrating from Ruby on Rails stack to a React single-page-application. This improved page load times and developer experience for deployment tracking, integration testing, and emergency actions. - Built a key feature for an Infrastructure-as-Code library, enabling customers to visualize pipeline infrastructure diffs pre-deployment. This significantly reduced developer toil and simplified infrastructure reverts.
Software Development Engineering Intern at Amazon Web Services (AWS), May 2022 - Aug 2022 · 4 mos, Seattle, Washington, United States, - Developed a new feature for Pipelines, an internal tool orchestrating 1.2 million deployments per month, focusing on visualizing differences in pipeline structures to improve deployment workflow management. - Designed a DynamoDB-S3-Lambda architecture for efficient storage and retrieval of JSON data. - Led the creation of a new UI/UX experience using deep-diff, which reduced developer effort by enabling easy comparison of pipeline structure changes. - Built a React and TypeScript frontend with a modal and table to visualize data, integrated with Ruby on Rails for backend support.
Data Science Intern at Anthem, Inc., May 2020 - Aug 2020 · 4 mos, - Developed an automated documentation tool for Anthem's Machine Automation Toolbox (MAT) codebase, streamlining the development and deployment of machine learning models. - Created data processing scripts to generate training datasets, enabling healthcare models to predict patient diagnoses more effectively.
Data Engineering Intern at GE Aviation, Jun 2019 - Aug 2019 · 3 mos, Cincinnati Area, KY, - Utilized data engineering and visualization tools, including PostgreSQL, Spotfire, and AWS Glue, to analyze and leverage Agile Rally team data across the organization. - Developed PULSE, a tool that visualizes Agile team performance, tracks organizational trends, and provides upper management at GE Aviation with actionable insights through high-level KPI dashboards.
Bachelor's degree, Electrical Engineering and Computer Science, University of California, Berkeley
High School Diploma, William Mason High School