Ashwin K.
About Ashwin K.
Ashwin K. is a Cloud Engineer at Aiberry, specializing in video processing and cloud architecture. With experience at notable companies like Apple and Wells Fargo, he has a strong background in DevOps and system administration.
Work at Aiberry
Ashwin K. has been employed at Aiberry as a Cloud Engineer since 2022. In this role, he focuses on cloud infrastructure and optimization, contributing to the development of scalable solutions. His responsibilities include creating standardized golden AMIs for consistent resource creation and implementing advanced architectures with separate ECS services to enhance feature development and testing.
Previous Experience in Cloud Engineering
Prior to joining Aiberry, Ashwin K. worked at Apple as a Cloud Engineer from 2020 to 2022. His work involved configuring CloudFront distributions to ensure secure and efficient content delivery. He also held the position of Cloud Engineer at Wells Fargo from 2019 to 2020, where he contributed to cloud solutions in a DevOps capacity.
DevOps and Release Engineering Background
Ashwin K. has extensive experience in DevOps and release engineering. He worked at Macy's as a DevOps Engineer/SRE in 2018 and at Soft Suave Technologies as a Release Engineer from 2014 to 2017. During his time at Macy's, he focused on site reliability engineering, while at Soft Suave Technologies, he integrated GitLab runners, significantly reducing CI/CD build times.
Early Career in System Administration
Ashwin K. began his career as a Linux System Administrator at ANB Systems, Inc. from 2012 to 2014. In this role, he implemented cron jobs to optimize memory space and improve system performance. He also developed a log delivery system utilizing CloudTrail for efficient issue resolution, showcasing his foundational skills in system administration.
Technical Skills and Contributions
Ashwin K. has demonstrated strong technical skills throughout his career. He developed a Python script with lambda functions for optimized video processing and designed multi-account ECS and Docker infrastructure with MySQL databases for seamless feature deployment. Additionally, he integrated real-time alerts via email and Slack to enhance operational efficiency.