Peter Fedyshyn

Senior Lead QA Engineer with years of experience, including building, establishing, and significantly improving QA processes on complex, integration-heavy platforms. Proven track record of owning the QA approach end-to-end: assessing current quality state, identifying gaps and risks, defining testing priorities and quality gates, and establishing scalable processes where none or few existed. Strong hands-on background in manual testing (functional, regression, integration, exploratory) combined with deep API and system-level investigation across multi-tenant SaaS and connected-device platforms.

Experienced in collaborating directly with US-based clients and external stakeholders, articulating quality risks and justifying QA decisions to support informed product and delivery decisions. Actively uses AI and agentic workflows daily to accelerate QA activities, including requirements analysis, test case creation, regression preparation, building automated test coverage, log analysis, and reporting. Hands-on experience testing LLM agent workflows, MCP protocol behavior, agent authorization, agent performance, and RAG-based systems.

Passionate about evolving QA toward an increasingly automated and AI-accelerated approach.

Senior QA Engineer / QA Process Owner / AI-Accelerated QA - Travel & Hospitality Platform - Lviv, Ukraine

(2022)

• Owned end-to-end QA strategy for a microservices-based, multi-tenant SaaS platform, embedding shift-left practices from requirements review through release sign-off.
• Defined and continuously improved QA frameworks, methodologies, testing priorities, coverage, quality gates, and QA KPIs, building scalable processes where few or none existed.
• Led test automation and CI/CD integration: built and maintained automated test coverage using AI-assisted approaches, gating builds and catching regressions early.
• Reduced defects by 30% by taking over a production codebase with unclear test coverage and building a risk-based testing plan from zero.
• Reduced production incidents by 10% through risk-based regression coverage and early defect detection.
• Tested LLM agent workflows and agentic systems: agent tool discovery, tool invocation, and multi-step interactions across agent, gateway, and tool flows.
• Validated MCP protocol behavior: tool list aggregation and streaming response handling.
• Tested agent authorization and authentication controls, including unauthorized tool-access scenarios and policy-enforcement validation.
• Performed performance testing for agent workloads: tool-discovery latency, concurrent agent sessions, and agent-to-agent communication latency.
• Validated RAG / LLM-based systems for testing workflows and documentation, checking against hallucinations for consistency, accuracy, compliance to requirements, structure, and traceability.
• Used Postman for API testing.
• Collaborated with AI engineers and implemented AI-assisted testing workflows.
• Used Datadog and Splunk for observability, log analysis, and root-cause investigation.
• Contributed feedback to group-wide QA standards and quality initiatives.
• Partnered cross-functionally with engineering, project management, and client stakeholders; communicated quality risks and QA decisions directly to a US-based client.

Senior QA Engineer - Adidas (Sportswear & Equipment Manufacturer) - Lviv, Ukraine

(2021 - 2022)

• Developed test plans and test cases from business requirements and user journeys using BDD and Gherkin syntax.
• Executed functional, integration, regression, and API testing, including testing of machine learning features.
• Used Postman for API testing.
• Tested mobile applications on iOS and Android devices.
• Validated asynchronous and event-driven behavior: connectivity loss, reconnection, offline state, delayed events, stale data, and recovery after interruption.
• Built automated regression suites using TypeScript-based frameworks with AI-assisted tooling, scaling high-value automated coverage by 25%.
• Produced detailed quality reports and release status updates using Jira and Xray; supported Jenkins-based CI/CD pipelines.

Senior QA Engineer - SAP Commerce Cloud (Hybris) - Lviv, Ukraine

(2020 - 2021)

• Owned QA for critical user flows: registration, checkout, retention, and conversion.
• Authored and executed manual test cases, regression suites, API tests, and end-to-end scenarios.
• Developed QA metrics, reporting frameworks, and standard operating procedures.
• Supported SAP Commerce Cloud (Hybris) CMS ecosystem testing and release validation.

QA Engineer - Oil Industry Services Platform - Lviv, Ukraine

(2019 - 2020)

• Formulated use cases, test plans, and test strategies for a complex enterprise web platform.
• Conducted functional testing, usability testing, requirements validation, and defect management.
• Used Azure DevOps and JavaScript-based testing solutions.

Senior Manual QC Engineer / Team Lead - Media Support Platform (Desktop/Hardware-Integrated) - Lviv, Ukraine

(2014 - 2019)

• Led system-level QA for a Windows desktop application integrated with external hardware controllers.
• Performed functional, integration, regression, API, and end-to-end testing across desktop and web applications.
• Validated complex data processing workflows, synchronization logic, failover scenarios, upgrades, and downgrades.
• Analyzed application logs and system behavior to identify defects and support root-cause investigation.
• Mentored QA engineers and facilitated knowledge transfer.

Master of Science - Ivan Franko National University