Arka Bhowmik
Software Engineer 2 (Lead) at Microsoft
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolArka Bhowmik is a pragmatic software engineer with 10 years of experience building large-scale distributed systems, currently working on Azure Core Compute to advance VM lifecycle management. He has a strong track record across SaaS, PaaS and IaaS platforms—shipping performance optimizations, secure authentication services, and large-scale orchestration for clusters of thousands of nodes. At Cloudera he led architecture work to split a legacy monolith, drove CVE remediation across a multi-million dollar product, and implemented Vault-based credential storage; at MoEngage he owned high-throughput auth microservices for a platform sending over a billion messages. He combines deep systems engineering (OS/tuning, SQL optimizations, Kerberos/FreeIPA, TLS) with hands-on delivery and on-call experience, and he enjoys digging into heterogeneous stacks to solve thorny reliability and security problems. Based in Bengaluru, he pairs an M.Tech in CS with practical leadership in mentoring, incident response, and cross-team collaboration.
10 years of coding experience
7 years of employment as a software developer
M.Tech, Computer Science and Engineering, M.Tech, Computer Science and Engineering at Delhi College of EngineeringHigher Secondary, Science, Higher Secondary, Science at South Point High School, KolkataBachelor of Technology (B.Tech.), Computer Engineering, Bachelor of Technology (B.Tech.), Computer Engineering at Heritage Institute of Technology, Kolkata
English, Hindi, Bengali
Stackoverflow
21reputation
621reached
0answers
3questions
Github Skills (15)
wavelet-transform10
psd9
keras6
hibernate6
deep-learning6
lstm6
sqlite6
android6
python6
annotations6
database6
java6
theano2
attention-mechanism2
tensorflow1
Programming languages (2)
Github contributions (5)
Arka95/LiveTraveller
Mar 2017 - Feb 2018
Contributions:5 commits, 6 pushes, 1 branch in 11 months
Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset
May 2018 - Sep 2018
Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)
Contributions:5 commits, 4 pushes, 1 branch in 4 months
psdwavelet-transform
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