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Senior QA Enginneer with 5+ years in AI/ML, API, and Performance Testing
Senior QA Engineer with nearly 5 years of experience delivering high-quality software solutions across diverse domains, including Finance (Invoice-to-Pay/P2P), Supply Chain & Logistics, AI/ML, Blockchain, and Workforce Management. Successfully led QA for 10+ projects encompassing AI-powered platforms, mobile/iPad applications, web applications, and blockchain-based systems. Expertise in designing test strategies, functional and API testing, performance testing, defect lifecycle management, and team leadership in Agile environments. Proficient with Postman, JMeter, Swagger, JIRA, Zephyr, and skilled at validating complex AI workflows, multi-platform applications, and blockchain transaction integrity to ensure production-ready, high-quality releases aligned with business goals.
Sagar Institute of Research Technology and Science, Bhopal, MP
Bachelor of Technology · Computer Science Engineering
August 1, 2017 – June 30, 2021
LeewayHertz
Senior QA Engineer
May 1, 2021 – Present
India
Al-Orchestrated Invoice-to-Pay (ITP)
November 1, 2025 – June 1, 2026
Leading QA for Fresenius' ITP solution covering AI-driven OCR extraction, invoice validation, exception detection, and payment readiness checks. Designed complete QA strategy covering Portal UI, Agents (Extraction & Validation). Built detailed test scenarios for invoice intake, document validation, mandatory-field checks, Vendor Master validation, and confidence scoring. Tested multi-language invoice extraction flows and ensured standardized JSON schema mapping. Reviewed AI outputs including Extraction Reports, Matching Reports, Compliance Reports, and Exception Worklists. Managed a QA pod, reviewed scenarios, tracked execution, and ensured timely delivery.
Supply Chain & Warehouse Ops Platform
October 1, 2024 – November 1, 2025
Led QA for Americold's warehouse operations platform covering inbound/outbound logistics, pallet/case flows, and temperature-controlled storage. Created test plans across workflows, structures, Profile Assumptions (Inbound/Outbound/Inventory), OP/AP program mapping, and Data Lake validation. Performed API and backend validation ensuring accuracy of storage allocation (Dry, Cooler, Freezer, No Storage). Identified "No Storage" data irregularities preventing inventory under-reporting. Conducted regression, integration, and exploratory testing to uncover edge cases and improve system robustness. Supported performance testing initiatives to validate system behavior under peak warehouse operation loads using JMeter. Improved QA test coverage, resulting in a significant reduction in data defects and operational discrepancies across warehouse processes.
Blockchain-Based Consumer Data Consent Platform
May 1, 2024 – November 1, 2024
Developed and executed manual test cases to ensure system stability and security. Conducted continuous testing, including API and regression testing, to improve software quality. Monitored and reported defects, contributing to continuous improvement initiatives. Supported test environment configuration and ensured optimal test data management.
Social Media Polling Application
May 1, 2023 – May 1, 2023
Designed and executed structured test plans, ensuring optimal software functionality and quality. Conducted API, load, regression, and security testing to enhance system performance. Collaborated with cross-functional teams to identify and resolve software issues. Managed Apple Developer certificates and streamlined deployment processes.
Cultural Fit Analysis
The candidate's diverse project experience across AI/ML, blockchain, supply chain, and social media platforms indicates adaptability and a broad interest in various technological domains. Their leadership roles and focus on optimizing processes suggest a proactive and improvement-oriented mindset. The emphasis on team collaboration and defect management aligns with a culture that values quality, efficiency, and continuous improvement. The breadth of skills and project types suggests a good cultural fit for dynamic and innovative environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills through their experience in leading QA pods and mentoring engineers. Their ability to optimize QA processes and manage defect lifecycles indicates a proactive and systematic approach to quality assurance. Collaboration with cross-functional teams highlights good interpersonal and communication skills essential for operational fit. The experience with Agile/Scrum methodologies further supports their adaptability to modern development environments.