Jayendra Kantipudi
Software Development Engineer at Amazon Web Services (AWS)
Town of Brookhaven, New York, United States
Summary
👤
Senior🎓
Top SchoolJayendra Kantipudi is a software development engineer with about eight years of experience blending backend engineering, cloud automation, and applied machine learning. Currently at AWS working on Amazon Quick Suite, he has built scalable APIs, ETL pipelines, and Azure automation solutions during prior roles at Broadridge, Commvault, and research positions at Stony Brook. His academic work includes a published IEEE Transactions paper on color robustness in CNNs and a practical multi-stage ML pipeline leveraging GPT and RoBERTa for information extraction. Comfortable across Java/Spring Boot, PySpark, Flask, Azure/AWS, and deployment tooling, he pairs production-grade engineering with research rigor. An understated strength is his knack for end-to-end automation—from runbooks and DevOps pipelines to model inference optimization—bridging research prototypes to reliable services.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology with Honors Computer Science, Bachelor of Technology with Honors Computer Science at Indian Institute of Information Technology, SriCityHigh School Mathematics Physics and Chemistry, High School Mathematics Physics and Chemistry at Narayana Junior College - IndiaMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University
English, Hindi, Telugu
Stackoverflow
26reputation
2kreached
7answers
1question
Github Skills (14)
mern8
automatic-license-plate-recognition8
android-ndk6
django-filter6
android-service6
mongodb6
django-views6
android6
django6
html5
css5
mysql4
javascript2
deep-learning1
Programming languages (7)
Github contributions (5)
jayendrakantipudi/controlF
Sep 2019 - Jan 2020
Finding Your Services : Made using MERN Stack
Contributions:100 PRs, 101 pushes, 12 branches in 4 months
mern
jayendrakantipudi/KnowYourShow
Mar 2019 - May 2019
A Movie and TV series rating system : Made using HTML, CSS, Django, MySQL
Contributions:35 commits, 4 PRs, 30 pushes in 1 month
cssdjangomysql
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