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dinesh8146

Dinesh M

@dinesh8146

Software Engineer QA and English Nepali Translation

Nepal
Nepalí, Inglés, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
Hi, I’m Dinesh, a Software QA Engineer specializing in manual, automation, API, and performance testing. I have experience with C#, .NET, Selenium, Apache JMeter, Postman, Swagger, SQL Server, Azure DevOps, and CI/CD. I can help identify bugs, create and execute test cases, perform functional, regression, integration, UI, API, and load testing, and ensure your software is reliable and release-ready. I also provide professional English–Nepali translation and localization services. I focus on quality, accuracy, clear communication, and timely delivery.... Lee más

Habilidades

d
dinesh8146
Dinesh M
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Pruebas de software
I will do manual and API testing for your web or software application
Traducción
I will translate and proofread nepali to english documents and articles

Experiencia laboral

Dolphin_Dive Technology

Software Engineer QA

Dolphin Dive Technology • Tiempo completo

Dec 2025 - Present9 mos

Execute functional, regression, integration, and performance testing across the SDLC to validate compliance with business and technical requirements before release. • Partner with cross-functional development teams to design test processes that surface defects earlier in the cycle, improving overall testing efficiency. • Contribute to stabilizing high-performing production releases by tracking and prioritizing defects through resolution.

Upwork

Translator and Proofreader

Upwork • Freelance

May 2022 - Present4 yrs 4 mos

• Delivered website and software QA testing plus English-Nepali translation across short- and long-term client engagements. • Maintained a 100% Job Success Score and earned the Rising Talent badge through consistent, high-quality delivery.

Straive

Data Operations Analyst

Straive • Tiempo completo

Nov 2023 - Jul 20248 mos

• Owned data quality assurance for research data management projects, verifying accuracy, consistency, and integrity across datasets. • Identified and resolved data discrepancies to maintain reliable outputs for downstream research use.