Prathyush P
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolPrathyush P is an experienced IT professional with eight years at Tata Consultancy Services and earlier roles at Wipro, specializing in application and production support for high-performance computing workloads and AWS-hosted services. He combines hands-on systems administration across Windows and Linux grids with strong incident management, root cause analysis and runbook creation to improve operational reliability. Skilled with CloudWatch, EC2, Jenkins, Autosys, ServiceNow and Jira, he bridges development, infrastructure and operations to resolve recurring issues and streamline deployments. Beyond day-to-day support, he has contributed backend code to the widely used open-source Temporal project, improving task queue handling and DLQ features—evidence of deeper systems-level engineering interest. Based in Bengaluru, he pairs practical troubleshooting with a methodical, analytical approach to reduce outages and drive long-term fixes. Colleagues know him for turning production pain points into documented, repeatable solutions that scale.
8 years of coding experience
5 years of employment as a software developer
Sree Narayana Higher Secondary SchoolBachelor's Degree, Bachelor's Degree at Nettur Technical Training FoundationBCA, BCA at Alagappa University, Alagappa Nagar, KaraikudiDiploma of Education Information Technology, Diploma of Education Information Technology at NTTF (Nettur Technical Training Foundation)Bachelor of Computer Applications, Bachelor of Computer Applications at Alagappa University
Malayalam, English, Tamil, Hindi
Github Skills (6)
distributed-systems10
workflow-engine10
go10
testing10
workflow-automation9
servicebus9
Programming languages (8)
Github contributions (5)
temporalio/temporal
Aug 2023 - Apr 2025
Temporal service
Role in this project:
Backend Developer
Backend DeveloperContributions:262 reviews, 181 PRs, 516 pushes in 1 year 7 months
Contributions summary:Prathyush contributed to the core functionality of the Temporal service, specifically focusing on improving task queue handling and workflow execution. They added code to correctly set the task queue type within the DescribeTaskQueue request based on user input and implemented a functional test to cover workflows finishing with deferred commands. Moreover, they added more descriptive error messages related to workflow history size limits. Finally, they integrated support for a number of DLQ features.
service-busmicroservice-orchestrationworkflow-automationworkflow-enginedocker
prathyushpv/klockstat
Apr 2019 - Jun 2020
Contributions:9 commits, 8 pushes, 1 branch in 1 year 2 months
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