Waqas Sheikh

Senior SDET / QA Automation Engineer

Affinity • Temps plein

Feb 2022 - May 2026 • 4 yrs 3 mos

Designed, enhanced, and maintained automated testing solutions using Cypress, Selenium, Pytest, Behave BDD, and custom automation frameworks to validate enterprise conversational platforms, APIs, distributed services, and backend integrations. Utilized custom in-house testing frameworks for validating complex workflows and backend integrations. • Accelerated regression execution by 30% and eliminated post-validation time by 100%, enhancing release confidence through innovative automation solutions. • Reduced memory consumption drastically by identifying and explaining a critical routing service bug, leading to a faster and lighter microservices. • Championed development of automated validation solutions for conversational workflows, routing engines, business rules, guardrails, escalation scenarios, and LLM-driven customer engagement systems. • Built end-to-end automation coverage across web applications, APIs, distributed microservices, and containerized services deployed on Kubernetes and Docker. • Led backend quality engineering efforts through distributed service debugging, session tracing, production log analysis, and root-cause investigations. • Created reusable Python and Bash automation utilities for large-scale troubleshooting, diagnostics, and automated log analysis. • Integrated automated regression suites into CI/CD pipelines using Jenkins and Bitbucket, accelerating release validation and improving deployment confidence. • Collaborated with architects, developers, and product teams to identify quality risks, improve testability, and strengthen platform reliability.

Software Engineer

Huawei • Temps plein

Feb 2020 - Feb 2022 • 2 yrs

Developed Python-based automation, analytics, and workflow optimization solutions using Pandas, NumPy, SciPy, PyQt5, and Matplotlib. Performed debugging, optimization, and performance analysis for production software systems.

Research Assitant

Air University • Temps plein

Sep 2015 - Feb 2020 • 4 yrs 5 mos

Conducted applied research in Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Computer Vision, and Data Science, contributing to the development and evaluation of intelligent systems and AI-driven solutions. Led research initiatives focused on satellite image classification and computer vision applications. • Delivered instruction and mentorship in Python, C++, Data Science, and Machine Learning concepts, helping students build practical programming and analytical skills.