Sr. QA Automation Engineer

MOHAMMAD ALSAID

Senior Software Engineer (SDET) · Technical Lead · JavaScript / TypeScript

Yonkers, NY · 917-***-**** · ******.********@*****.*** · linkedin.com/in/moalsaid · github.com/PaLINYG96 PROFESSIONAL SUMMARY

Senior software engineer with 7 years in test automation and technical leadership, backed by strong JavaScript and TypeScript depth. I architect and maintained automation frameworks, lead and mentor engineering teams, and build backend and AI side projects (Node.js, Express, PostgreSQL, LLM-powered tools) that keep me hands-on with modern development. I hold PMP and Scrum Master credentials alongside ISTQB and AWS certifications, and I ramp fast on complex, high-stakes platforms — including a high-traffic federal system. Whether the need is owning quality, building automation, or leading a team, I bring the depth to do the work and the range to grow into the role. TECHNICAL SKILLS

Languages: JavaScript, TypeScript, Python, SQL

Development: Node.js, Express, PostgreSQL, REST API Design, JWT Authentication, Knex.js, Git Test Automation: Playwright, TestCafe, Mocha, Chai, Postman, JMeter AI & Machine Learning: LLM-Assisted Test Generation, AI-Powered Log Triage, Prompt Engineering, Computer Vision

Cloud, CI/CD & Infrastructure: AWS, Jenkins, GitHub Actions, Docker, CI/CD Pipelines Leadership & Process: Team Leadership, Mentorship, Code Review, Agile / Scrum, Quality Strategy PROFESSIONAL EXPERIENCE

Sr. QA Automation Engineer / SDET Lead · ECS – USPS MyMove Platform 2021 – Present

• Architected a Playwright + JavaScript/TypeScript end-to-end test framework from the ground up, reducing regression cycle time by 50% (from ~10 days to ~5) and expanding automated coverage from under 30% to 85% across web, API, and mobile surfaces.

• Led full-SDLC quality strategy across a high-traffic federal platform, migrating 100% of legacy manual regression suites into automated pipelines and eliminating a category of production defect leakage entirely.

• Served as technical lead and mentor for junior engineers — conducting code reviews, establishing framework standards, and compressing onboarding time from 3 weeks to under 1 week.

• Introduced a shift-left engineering culture by training 10+ developers on unit-testing practices and embedding quality gates into CI/CD, reducing escaped defects reaching staging by ~40%. QA Lead Engineer · ClassLink 2019 – 2021

• Directed end-to-end QA strategy for 5 core SaaS products serving K–12 school districts, owning the full testing lifecycle from beta through high-traffic production releases used by millions of students.

• Engineered scalable frontend automation frameworks in Cypress, WebdriverIO, and TestCafe, integrated directly into Jenkins CI/CD pipelines — enabling same-day release confidence across all 5 products simultaneously.

• Built an automated API testing suite using Mocha and Chai that validated 100% of OneRoster 1.1 spec compliance, eliminating a recurring class of data-integrity bugs that had caused 3 rollbacks in the prior year.

• Led cross-functional Agile teams of developers and QA analysts through complex defect triage, establishing internal QA standards that reduced average bug resolution time by 30%. ENGINEERING PROJECTS

AI Test Case Generator — JavaScript · GPT-4 · Playwright · Web App · Personal Project

• Built a web application that turns a user story into positive, negative, and edge-case test scenarios plus ready-to-run Playwright automation code via the OpenAI GPT-4 API. Cut test planning for new features from hours to minutes.

DevBoard REST API — Node.js · Express · PostgreSQL · JWT Auth · Knex.js · Personal Project

• Built a REST API from scratch featuring JWT-based authentication, role-based route protection, full CRUD for projects and tasks, and version-controlled schema migrations with Knex.js — demonstrating backend development fluency and hands-on PostgreSQL experience. AI Log Analyzer — Python · OpenAI API · Root Cause Analysis Tool · Personal Project

• Engineered a CLI tool that ingests raw test failure logs and returns structured root cause analysis with suggested fixes, powered by GPT models. Eliminated manual log-triage sessions that previously consumed ~2 hours per failed CI run.

Smart Home Automation – Graduation Capstone — Python · Machine Learning · IoT · Computer Vision

• Designed and built an IoT smart home prototype featuring an ML computer vision pipeline: trained and deployed a facial recognition model on an embedded camera system to automate secure front-door entry

— end-to-end, from model training to hardware actuation. EDUCATION & CERTIFICATIONS

Bachelor of Engineering, Computer Engineering — City College of New York (CUNY) Project Management Professional (PMP) – PMI · Professional Scrum Master I (PSM I) – Scrum.org ISTQB Certified Tester – ISTQB · AWS Certified Solutions Architect & SysOps Administrator (Associate) – Amazon

Testing with GenAI – In Progress (Expected June 2026)

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