Josiah Sathiadass
Senior Staff Engineer at QUALCOMM TECHNOLOGIES INTERNATIONAL, LTD.
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolJosiah Sathiadass is a Senior Staff Engineer with 11 years of experience building cloud-native distributed systems, currently extending Kubernetes to power a HyperScale Dev/Test Farm at Qualcomm. He specializes in developing Operators, Controllers, Device Plugins, admission webhooks and Prometheus exporters, and pairs that with hands-on cluster monitoring using Grafana. His background spans Big Data and machine learning workloads on Apache Spark, practical exposure to NVIDIA GPU architecture and CUDA, and working knowledge of deep learning frameworks like TensorFlow and Caffe. Unusually for a cloud-native engineer, he also brings deep systems expertise in AIX and POWER architectures plus kernel- and application-level debugging skills. Based in Bengaluru, he blends low-level systems craftsmanship with modern cloud orchestration to deliver scalable, observable infrastructure.
10 years of coding experience
BE, Computer Science and Engineering, BE, Computer Science and Engineering at Thiagarajar College of Engineering
Tamil, English
Github Skills (57)
spark10
python10
r10
big-data10
jdbc10
java10
scala10
scale10
sql10
hadoop9
apache9
mingw-w649
analytics9
apache-spark9
large-scale9
Programming languages (8)
Github contributions (5)
sparkonpower/tpcds-setup
Oct 2016 - Sep 2017
Contributions:5 PRs, 91 pushes, 3 branches in 11 months
ibmsoe/snap-ml-doc
May 2018 - Feb 2020
Snap Machine Learning (Snap ML) is a library for training generalized linear models.
Contributions:52 commits, 2 PRs, 22 pushes in 1 year 9 months
generalized-linear-modelsmachinelearninglinear-modelsmlmachine-learning
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