Tauseef Ahmed Syed

About Tauseef Ahmed Syed

Quality Engineering leader with 17+ years of experience leading global QA organizations and delivering AI-driven automation at scale across fintech, payments, conversational AI, and high-velocity consumer platforms. I’ve built and led 30+ member QA/SDET/Manager teams across India, the US & Europe, and consistently improved engineering velocity, reliability, and operational excellence.Currently at Amazon, I lead AI powered Quality Engineering for Credits & Lending—Amazon Pay Later, CoBrandedCreditCard, Wealth, Personal Loans—serving millions of customers, and drove major expansions like Amazon Pay on 3P merchants. Enabled no‑code E2E Test Automation, reducing scripting overhead by more than 90% and expanded release coverage to >80%. AI-Driven Automation Transformation:Designed and deployed three major AI automation systems—ADAM, TestClassifier, TestIM—delivering measurable, org-wide impact: Achieved $62K annual cost savings with AI automation tool and eliminated the need for 3 SDET positions 90%+ reduction in regression effort 70% increase in CI/CD pipeline coverage 60% faster release & deployment velocity 80%+ drop in test maintenance effort 80% improvement in automated test development speed Achieved 95%+ automation readiness before launch Shift-Left Quality & Defect Prevention:Built an org-wide shift-left strategy that moved critical validation earlier in the SDLC: 40% reduction in post–code-review & post-deployment defects 30% faster QA signoff using intelligent regression selection CI/CD, Reliability & Operational Excellence:Drove major improvements across pipelines, infra, and quality governance: 45% improvement in pipeline health 25% reduction in Sev-1/Sev-2 incidents 70% drop in security/policy risks 80% reduction in UAT/test environment downtime Automated remediation of 150+ annual security findings Large-Scale Platform Quality Leadership:Delivered quality for some of the most demanding, large-scale systems: Amazon Credits & Lending – multi-million fintech ecosystem Swiggy Marketplace – millions of orders/day Goldman Sachs Transaction Banking – global enterprise treasury [24]7.ai Conversational AI – NLP platforms for Fortune 100 Charles Schwab & Dollar Financial – Stock brokerage & lending platforms What I BringAI-led automation • Shift-left strategy • CI/CD excellence • Defect prevention • Risk & compliance • NLP/AI testing • Global team leadership • Scalable QA transformation

Experience

1. Software Quality Engineering Manager - L6

   Amazon

   Jun 2022 — Present · Bengaluru, IN

   Amazon | L6 Engineering Manager – QualityBangalore, IndiaKey Achievements (2022–Present):AI-Powered Automation:Deployed TestIM (Tricentis) to achieve a 70% reduction in automation effort. Developed 300+ test cases in 30 days, reduced regression cycle from 48hrs to 5hrs/month, and enabled 30+ successful feature launches with automated validation.Strategic Launches:Delivered QA for 30+ product rollouts including Personal Loans, Co-branded Credit cards, AmazonPay Later and Wealth. Achieved 80% reduction in production issues and improved MAUs and TPV metrics.Test Infrastructure at Scale:Led setup of centralized mobile lab (Android/iOS) using STF for remote QA. Increased device-dependent test coverage by 30%, supporting major releases including CBCC and Wealth products.UI Automation with Luminos (AWS):Onboarded Credits org onto Luminos stack for scalable browser-based automation. Improved test accessibility across internal/partner pages and enabled high-availability infrastructure.CI/CD & Pipeline Maturity:Converted 70% of Quilt pipelines to Full CD; auto-resolved 150+ Shepherd risks annually and saved 60+ on-call hours. Enhanced deployment health from 45% to 56% using automated validations.UAT Monitoring Automation:Built Selenium-based healthchecker for 3P UAT environments (ICICI, Axio). Reduced downtime by 90% and enabled smoother strategic launches (e.g, Issuance 2.0).Operational Excellence (OPEX):Drove remediation of Page-0 OE metrics turning red to green. Improved resiliency score (220), credit score (97), and ticket SLAs across Shepherd/Policy risks.Production Testing via Applause:Implemented crowd-sourced E2E payment testing for production via Applause. Eliminated delays due to payment instrument unavailability across 300K testers globally.Structured QA Sprint Model:Standardized QA intake with sprint cycles, reducing ad-hoc QA requests by 70% and improving delivery predictability and resource planning.

Education

• Birla Institute of Technology and Science, Pilani

  Master of Science (MS), Computer Software Engineering

  2007 — 2011

Skills

• Sql
• Webdriver
• Performance Testing
• Junit
• Regression Testing
• Web Development
• Core Java
• Testing
• Uiautomation - Xcode
• Jira
• Qtp
• Maven
• Test Planning
• Xpath
• Android Development
• Jbehave
• Robotium
• Test Automation
• Web Services