Arnab Rakshit
Software Engineer at arnab.rakshit
Canberra, Australia
Summary
👤
Senior🎓
Top SchoolArnab 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.
10 years of coding experience
9 years of employment as a software developer
Australian National UniversityAlgorithms Part I and II, Algorithms Part I and II at Princeton UniversityHigher Secondary education Science, Higher Secondary education Science at Don Bosco SchoolThe University of MelbourneB.Tech Electronics and Communication, B.Tech Electronics and Communication at West Bengal University of Technology, Kolkata
Github Skills (76)
python10
ssh10
ansible10
lambda9
tencent-cloud9
automation9
devops9
aws9
aws-step-functions9
filter9
azure8
management8
network-configuration8
serverless8
governance8
Programming languages (7)
Github contributions (5)
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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