Arnab Rakshit

Canberra, Australia
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Summary

👤
Senior
🎓
Top School
Arnab Rakshit is a versatile software engineer with 10 years’ experience building and operating large-scale distributed systems, DevOps pipelines, and big data platforms across public cloud and on-prem Hadoop environments. He has led DataOps and DevOps initiatives for Australian government and telecom organisations, architecting multi-tenant MapR/Hadoop platforms, automated CI/CD pipelines, and streaming/batch data pipelines using Spark, Kafka, StreamSets and Azure/AWS infrastructure. Comfortable across the full stack, Arnab pairs deep Java/J2EE and systems knowledge with practical automation (Ansible, Terraform, Python) and observability practices to deliver reliable, secure solutions. He’s pursuing a Master’s in Computing at the University of Melbourne and combines academic rigour with a hands-on, problem-first engineering approach. Colleagues praise him as a quick learner, dependable technical architect and team player who seeks to orchestrate humans and automation to tackle real-world problems rather than replace people. An early tinkerer who once turned a keyboard into a musical instrument, he brings that same curiosity and pragmatic creativity to complex engineering challenges.
code10 years of coding experience
job8 years of employment as a software developer
bookAustralian National University
bookAlgorithms, Part I and II, Algorithms, Part I and II at Princeton University
bookHigher Secondary education Science, Higher Secondary education Science at Don Bosco School
bookThe University of Melbourne
bookB.Tech Electronics and Communication, B.Tech Electronics and Communication at West Bengal University of Technology, Kolkata
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Github Skills (51)

python10
ansible9
automation9
ssh9
aws-step-functions9
tencent-cloud9
serverless8
azure8
compliance8
management8
aws8
gcp8
terraform8
circleci8
network-configuration8

Programming languages (7)

JavaGoHTMLJupyter NotebookGroovyRubyPython

Github contributions (5)

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ArnabRaxit/learned_indexes

Jul 2018 - Mar 2019

Contributions:16 commits, 9 pushes in 7 months
ArnabRaxit/keras-mmoe

Apr 2019 - May 2019

Keras implementation of Multi-gate Mixture-of-Experts
Contributions:22 pushes, 2 branches in 1 month
gatedeep-learningexpertsmixture-of-expertstensorflow
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