Rakhat Makhtymkhanov

Provided and continue to provide occasional support and improvements for a personal AI/ML Quality project, focusing on model validation, reliability, and testing. Developed an AI project for medical risk prediction, implementing all major stages - from data preprocessing and model training to REST API creation and performance evaluation.

Sole QA in the Trust & Safety team; defined and executed the full testing strategy. Performed manual testing of mobile features and backend components, including logic, security, and microservice integrations. Made release-readiness decisions based on production end-to-end tests with real data. Implemented Shift Left Testing and the Three Amigos approach for early collaboration and requirement refinement. Increased UI test coverage and improved test stability; expanded API coverage across major microservices. Maintained QA metrics and introduced a Zero Bug Policy.

Worked in a cross-functional team on a mobile banking app for corporate clients. Built quality processes across SDLC, reduced production issues, and improved release quality. Developed and maintained test cases, checklists, and QA reports. Introduced test classification (Smoke, Acceptance, Regression). Led regression cycles and final validations for releases. Conducted technical interviews and onboarded new QA specialists.