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SDET with 5+ years in AI/LLM, Automation, API, and Salesforce Testing.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dynamic QA Engineer with 4+ years of experience in manual, automation, API, Salesforce, AI/LLM, and accessibility testing. Proven track record of improving product quality, reducing defects, and delivering scalable applications in Agile environments. Hands-on experience in AI testing methodologies including LLM evaluation, RAG pipeline validation, prompt engineering, and agentic AI systems.
MIET
B.Tech · Computer Science & Engineering
August 1, 2017 – June 30, 2021
Yiron Technologies
Sr. Quality Analyst
January 1, 2024 – Present
India
Bebo Technologies
SDET
February 1, 2022 – August 1, 2023
India
Asvayuk Technologies
Software Tester
June 1, 2021 – January 1, 2022
India
Finance Project (Travel Domain)
June 1, 2021 – Present
Tested core financial modules including invoicing, ledger, taxation, and reporting systems. Conducted integration and regression testing for financial workflows. Ensured data accuracy and compliance with financial standards. Reduced production defects through structured QA processes.
E-Commerce & Quick Commerce Platforms
June 1, 2021 – Present
Tested high-traffic systems including product search, cart, checkout, and payment modules. Validated AI-powered product recommendations and search ranking features for accuracy and relevance. Validated cross-browser and cross-device compatibility. Improved release stability by 20% through systematic regression testing.
AI / LLM Testing
June 1, 2021 – Present
Designed and executed test plans for LLM-based features including chatbots, AI search, and content generation modules. Performed prompt engineering and adversarial prompt testing to evaluate model robustness, safety, and guardrail effectiveness. Validated RAG pipelines for retrieval relevance, context grounding, and hallucination mitigation. Tested agentic AI workflows including multi-step reasoning, tool use, and autonomous task execution. Benchmarked LLM responses for accuracy, coherence, tone, and factual correctness using structured evaluation frameworks.
Automation Framework (Python Selenium)
June 1, 2021 – Present
Designed and implemented a scalable automation framework using Selenium WebDriver and Python. Integrated automation suite with CI/CD pipelines for continuous testing. Enabled parallel execution and detailed reporting mechanisms. Reduced regression testing time significantly and improved release cycles.
Salesforce CRM Testing
June 1, 2021 – Present
Tested Sales Cloud and Service Cloud modules including lead lifecycle, opportunity tracking, and case management. Validated Apex triggers, workflows, and validation rules to ensure business logic accuracy. Performed SOQL queries for backend validation and data consistency checks. Tested role-based access, profiles, and permission sets. Validated integrations between Salesforce and external systems.
E-Learning Platform
June 1, 2021 – Present
Conducted end-to-end functional, regression, API, and accessibility testing. Validated AI-driven course recommendations and adaptive learning features for response quality and personalization accuracy. Validated course enrollment, assessments, and progress tracking workflows. Ensured WCAG compliance using NVDA and AXE tools.
Healthcare Application
June 1, 2021 – Present
Tested patient management systems including appointment scheduling and EMR workflows. Validated secure handling of sensitive healthcare data and compliance standards. Performed API and database validation to ensure data accuracy. Ensured accessibility compliance for inclusive user experience.
Online Betting & Gaming Platform
June 1, 2021 – Present
Conducted functional and regression testing for gameplay, payments, and live updates. Validated real-time integrations with external APIs and data feeds. Performed exploratory testing to identify high-load and performance issues. Ensured system stability under concurrent users.
Cultural Fit Analysis
The candidate's diverse project experience across multiple industries (AI/LLM, Salesforce, E-learning, E-commerce, Finance, Healthcare, Gaming) indicates adaptability and a willingness to engage with varied technical and business challenges. Their involvement in mentoring junior QA engineers and collaborating with cross-functional teams suggests a team-oriented mindset. The focus on improving product quality and reducing defects aligns well with a culture that values quality and efficiency. The breadth of skills, from manual to advanced AI testing, shows a continuous learning and growth mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile Scrum teams, mentoring junior QA engineers, and collaborating with development and product teams. Their project descriptions imply good problem-solving and analytical skills, crucial for an SDET role. The ability to work across diverse domains (E-learning, E-commerce, Finance, Healthcare, Gaming) suggests adaptability and a broad understanding of different business contexts.