Andrews Arokiam
Senior Technical Architect at Ideas2IT Technologies
Chennai, Tamil Nadu, India
Summary
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Rockstar🎓
Top SchoolAndrews Arokiam is a Senior Technical Architect based in Chennai with over a decade of hands-on experience designing and re-architecting web-based products and systems. He blends deep Java/J2EE expertise (Spring, Hibernate, reactive patterns) with cloud-native and MLOps capabilities on AWS and Kubernetes, contributing operational fixes and deployment improvements to the prominent KServe serverless ML inference project. His background spans RFID, image processing and LSTM-driven ML work, reflecting a mix of embedded and data-driven engineering. A strong engineering foundation from Annamalai University and a PG diploma in power plant engineering underpin his pragmatic approach to complex system design. Known for moving prototypes into production, he combines architecture leadership with day-to-day DevOps/engineering execution.
4 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at Annamalai UniversityPost Graduate Diploma (Dual), Power Plant Engineering, A+, Post Graduate Diploma (Dual), Power Plant Engineering, A+ at Annamalai University & NLC India Ltd.Maths, Biology, Maths, Biology at St.Paul's Matriculation Higher secondary school
Stackoverflow
945reputation
132kreached
9answers
33questions
Github Skills (22)
kubernetes10
cicd10
mlops10
kubernetes-pods10
devops10
knative10
python9
machine-learning9
docker8
dockers8
huggingface7
tomcat6
duplicates6
ssl-certificate6
zxing6
Programming languages (4)
Github contributions (5)
kserve/kserve
Oct 2021 - Jan 2023
Standardized Serverless ML Inference Platform on Kubernetes
Role in this project:
DevOps & MLOps Engineer
DevOps & MLOps EngineerContributions:37 reviews, 33 commits, 43 PRs in 1 year 3 months
Contributions summary:Andrews primarily focused on improving the deployment and operational aspects of the KServe project. Their contributions include fixing issues with the quick install script, updating versions for dependencies like cert-manager and Knative, and implementing raw deployment features. They also addressed issues with HTTP headers and improved the storage initializer for improved model loading and performance.
xgboostsklearnserverlessclient-goknative
andyi2it/kserve
Sep 2021 - Apr 2023
Serverless Inferencing on Kubernetes
Contributions:1 PR, 339 pushes, 46 branches in 1 year 6 months
serverlessmachine-learningmlopskubernetestensorflow
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