UmerΒ Mansoor
Automation Engineer - Big Data
Karachi Division, Sindh, Pakistan
Summary
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Rockstarπ
Top SchoolUmer Mansoor is an Automation Engineer specializing in Big Data with 13 years of hands-on experience building and testing data pipelines, ETL workflows, and backend services. Based in Karachi, he has moved from QA and data analysis roles into designing production Apache NiFi pipelines, optimizing PostgreSQL-backed storage, and writing Groovy scripts to automate complex field configurations. He contributes to notable open-source projects like Microsoft/autogen, where he improved documentation, error handling, and test coverage to support newer GPT models, and maintains microservice examples in Flask with robust unit tests. Known for bridging QA rigor with backend development, Umer focuses on reliability, observability, and maintainability across the data lifecycle. His background in both frontline testing and pipeline engineering gives him an uncommon perspective for catching edge cases before they reach production.
13 years of coding experience
3 years of employment as a software developer
University of Karachi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
unit-testing10
json10
api-rest10
python10
api-design10
restful-api10
testing10
microservices-application10
flask-ask10
rest-api10
error-handling10
microservices10
unit-test10
flask10
ai-agent9
Programming languages (9)
Github contributions (5)
umermansoor/microservices
Nov 2015 - Sep 2022
Example of Microservices written using Flask.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:18 commits, 4 PRs, 17 pushes in 6 years 10 months
Contributions summary:Umer primarily focused on developing and testing backend services for a microservices architecture using Flask. They added a new service for showtimes, including unit tests to ensure functionality. They also improved the JSON responses by adding headers and pretty-fying the output. Furthermore, the user added tests for the movies and user service while also working with the booking service.
pythonflaskdockermicroservicesmicroservice
microsoft/autogen
Jul 2024 - Aug 2024
A programming framework for agentic AI π€ PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Role in this project:Backend & QA Engineer
Backend & QA EngineerContributions:3 reviews, 11 PRs, 3 pushes in 29 days
Contributions summary:Umer primarily contributed to improving the quality and maintainability of the AutoGen library. Their work included fixing broken reference links in documentation, enhancing error messaging for function calls and improving the clarity of tests. They also updated the codebase to support the latest GPT-4o models and addressed code inconsistencies. Furthermore, the user added additional tests to cover edge cases and improve the overall testing coverage of the codebase.
agenticagentic-agiagentsaiautogen
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