Varun Lakshmanan
Software Engineer at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolVarun Lakshmanan is a software engineer based in Seattle with 8 years of experience building production ML monitoring and deployment tooling at Amazon while completing advanced CS degrees at Georgia Tech. He specializes in end-to-end ML observability—designing dashboards and alerting for model performance, data drift (Jensen-Shannon), and concept drift (ADWIN) using AWS services like SageMaker, Redshift, Lambda, DynamoDB, and CloudWatch. Varun has repeatedly turned research-grade ideas into reusable templates and CDK-driven infrastructure that automate onboarding and realtime monitoring for new models. His background in computational neuroscience and computer vision research surfaces in a knack for translating complex data pipelines into clear visualizations and automated analyses. Colleagues value him for shipping generalizable solutions that bridge ML research and robust cloud engineering.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, 4.00, Master's degree, Computer Science, 4.00 at Georgia Institute of Technology
English, Tamil
Github Skills (36)
machine-learning-models9
multiclass-classification9
python8
deep-learning8
machine-learning8
image-classification7
artificial-intelligence7
scalable6
optimization6
ai6
prophet6
parallel6
anomaly-detection6
modular6
coreml6
Programming languages (5)
Github contributions (5)
varunlakshmanan/glass
May 2020 - Jun 2020
Contributions:4 releases, 51 commits, 50 pushes in 1 month
varunlakshmanan/varunlakshmanan.github.io
May 2020 - Dec 2020
Contributions:18 commits, 21 pushes, 2 branches in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.