s
saad2003

Muhammad Aamir

@saad2003

AI Software QA Engineer

Pakistan
Engels, Urdu
Sommige informatie wordt in het Engels weergegeven.
Over mij
I am an AI Quality Assurance Engineer with over 7 years of software testing experience and extensive expertise in manual testing, API testing, UI/UX validation, and automation. Recently, I have specialized in AI Quality Assurance, where I test AI agents and Large Language Model (LLM) applications. My experience includes validating AI prompts, contextual memory, prompt rewriting, conversation flows, RAG-based knowledge systems, and response accuracy while designing comprehensive positive, negative, and edge-case test scenarios. I am proficient with Jira, Postman, Selenium, and Agile. ... Lees meer

Skills

s
saad2003
Muhammad Aamir
offline • 

Bekijk mijn diensten

QA en beoordeling
I will do software QA for you in 24 hrs
VanafUS$ 10 / projectMeer informatie
Gegevens formatteren en opschonen
I will covert pdf to excel in 24 hrs
VanafUS$ 5 / projectMeer informatie

Portfolio

Werkervaring

AI Software QA Engineer

Not Found • Fulltime

Oct 2018 - Present • 7 yrs 9 mos

AI Quality Assurance & AI Skills Validation (2025 – Present) Conduct end-to-end validation of AI agents across multiple industries, including: Technology & Software Engineering Financial Services Food & Hospitality Construction Legal Telecommunications Healthcare Retail & E-commerce Test hundreds of AI skills, prompts, and workflows for functionality, accuracy, and reliability. Design positive, negative, edge-case, and regression test scenarios for AI-powered applications. Validate contextual memory, prompt rewriting, conversation continuity, hallucination detection, and response consistency. Perform functional, usability, and domain-specific testing of AI agents. Create comprehensive test cases, bug reports, and validation documentation. Verify AI responses against expected business requirements and industry standards. Collaborate with AI engineers and product teams to improve prompt quality and model performance. Test Retrieval-Augmented Generation (RAG) knowledge bases across various industries. Evaluate AI-generated content for correctness, relevance, safety, and completeness.