Pritom Radheshyam
Senior Support Escalation Engineer
Dallas, Texas, United States
Summary
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Senior🎓
Top SchoolPritom Radheshyam is a Senior Support Escalation Engineer with 10 years of experience helping enterprises stabilize and secure cloud-native delivery pipelines, primarily across Azure DevOps, Azure PaaS services, and Kubernetes. At Microsoft he diagnoses high-impact production incidents, optimizes CI/CD workflows, and partners with engineering teams to drive long-term, scalable fixes for services like Azure Pipelines, Storage, and Redis. His blend of hands-on pipeline troubleshooting (multi-stage YAML, self-hosted agents, Key Vault integrations) and cloud architecture experience lets him translate technical constraints into business-aligned solutions. With a Master's in Computer Science (AI) from UT Dallas and prior work building AWS-based mapping infrastructure for autonomous systems, he brings both research-backed rigor and practical automation skills. He’s equally comfortable mentoring peers and building internal tooling to accelerate diagnostics, and his Github motto—Live.Laugh.OpenSource—hints at a collaborative, pragmatic approach to engineering.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science (Artificial Intelligence), Master's degree Computer Science (Artificial Intelligence) at The University of Texas at DallasData Engineering Nano Degree Computer Science, Data Engineering Nano Degree Computer Science at UdacityBachelor's degree Information Technology (Cloud Computing), Bachelor's degree Information Technology (Cloud Computing) at Hindustan UniversityScience, Science at Madras Christian College Higher Secondary School
Github Skills (55)
docker10
tosca10
web-application10
python10
linux10
terraform10
anki10
design-patterns10
scale10
coding10
openstack10
aws10
webapp10
sql10
jenkins10
Programming languages (3)
Github contributions (5)
PritomDas/Cyber-Attack-Attribution-with-Machine-Learning
Nov 2020 - Jan 2021
Cyber attack attribution is the process of attempting to trace back a piece of code or malware to a perpetrator of a cyberattack. As cyber attacks have become more prevalent, cyber attack attribution becomes more valuable. The process of cyber attack attribution can be done using reverse engineering. From the metadata of the malware executable file, we can gather data such as date of creation, variable names used, and what library calls are imported. This information can be used as features for attribution analysis. We need to extract the features from malware that can be used for attribution and analyse them using some technique to attribute the attacks.
Contributions:72 commits, 2 PRs, 7 pushes in 2 months
variable-namesengineeringgathercyberattackexecutable
PritomDas/Real-Time-Streaming-Data-Pipeline-and-Dashboard
Dec 2020 - Dec 2020
Contributions:52 commits, 51 pushes, 1 branch in 1 day
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