Professional Experience — Quality Engineering Leadership & Automation Architecture
15+ years leading quality engineering transformation across enterprise fintech, government systems, and SaaS platforms. Proven track record building scalable automation architectures, implementing performance engineering strategies, and leading distributed SDET teams to deliver measurable business outcomes.
This portfolio demonstrates expertise in modernizing test frameworks, establishing DevOps quality gates, and driving organizational quality maturity—with a focus on architectural decisions, team leadership, and enterprise-scale impact.
Designing scalable test ecosystems across UI, API, and microservices—with AI-augmented development workflows and intelligent debugging strategies
Performance & DevOps Integration
Embedding performance gates into CI/CD pipelines, establishing quality governance, and implementing shift-left practices across GitHub Actions, Jenkins, and GitLab CI
Team Leadership & Quality Transformation
Leading distributed SDET teams, driving organizational quality maturity, and modernizing legacy frameworks at enterprise scale
Core Technology Stack: Java · Selenium · API Testing · Performance Engineering · Cloud Quality · Mobile Testing · Copilot & Cursor AI Integration
Core Expertise Snapshot
Automation Architecture
Designing enterprise-scale test strategies across UI, API, microservices, and mobile platforms
Performance Engineering
Establishing performance baselines, identifying bottlenecks, and embedding continuous validation into deployment pipelines
DevOps Quality Gates
Building quality checkpoints across CI/CD platforms to ensure deployment readiness and release confidence
AI-Augmented QE
Integrating AI tooling to accelerate test generation, enhance debugging workflows, and improve framework efficiency
Deep expertise in data validation, stored procedure testing, and backend quality assurance
Cloud & Containerization
Implementing quality practices for cloud-native applications across containerized and serverless environments
Persistent Systems (Ascensus Program)
AI-Driven Principal QE Architect | Automation & Performance Lead | SDET Manager
Feb 2025 – Present | Remote, USA
Role & Mandate
Brought on to lead quality engineering transformation across Ascensus's enterprise fintech ecosystem—architecting scalable automation solutions, establishing performance engineering practices, and building distributed SDET team capability.
Accountable for modernizing test frameworks, embedding quality gates into CI/CD pipelines, and integrating AI-driven workflows to accelerate delivery while maintaining quality standards. This role balances hands-on technical architecture with strategic leadership and organizational transformation.
Key Responsibilities
Modernize QE architecture across enterprise
Build scalable automation frameworks
Establish performance engineering practice
Lead distributed SDET team
Drive AI integration in testing workflows
Implement DevOps quality gates
What I Built & Delivered at Persistent Systems
Unified Automation Ecosystem
Architected modular UI/API/microservices frameworks using Java, Selenium, TestNG, Cucumber, and REST Assured. Established standardized patterns and reusable component libraries to eliminate redundant framework development.
Impact: Reduced framework complexity by 40% through architectural consolidation, enabling teams to focus on business-critical test scenarios rather than infrastructure concerns.
AI-Augmented QE Delivery
Integrated Copilot and Cursor-powered workflows for accelerated test generation and AI-assisted debugging. Developed organizational best practices and upskilled the entire SDET team.
Impact: Achieved 70% faster root cause analysis through AI debugging capabilities, fundamentally transforming how the team approaches problem-solving and test development.
Performance Engineering Maturity
Established performance baselines using JMeter and BlazeMeter for 10+ critical user journeys. Built continuous performance validation into CI/CD pipelines for early degradation detection.
Impact: Identified and resolved microservice caching bottlenecks that were causing 30% throughput degradation, significantly improving system scalability.
DevOps & CI/CD Quality Gates
Implemented shift-left quality checks including contract testing, parallel execution pipelines, and environment readiness validation across GitHub Actions, GitLab CI, and Jenkins.
Impact: Reduced deployment failures by 45% through proactive quality gates that catch issues before production release.
SDET Leadership & Governance
Established QE operating model including Definition of Ready/Done, standardized bug lifecycle management, and RCA protocols. Created Kanban workflows optimized for automation and performance engineering.
Impact: Upskilled a distributed 6–8 member team, achieving a 35% productivity increase through clear processes and continuous coaching.
Business & Organizational Impact
50%
Automation Development Time Reduction
AI-augmented workflows and standardized frameworks cut script development effort in half
95%
Release Stability Achievement
Comprehensive quality gates ensure consistent, reliable deployments across all environments
45%
Productivity Boost
AI-accelerated testing combined with optimized processes delivered measurable team efficiency gains
60%
Regression Time Reduction
Automation-first strategy with parallel execution dramatically shortened testing cycles
Delivery Excellence
Established quality gates and automation-first practices that reduced deployment failures by 45% and shortened regression cycles by 60%. AI-augmented workflows cut development time in half while maintaining 95% release stability across all environments.
Organizational Transformation
Built cross-functional alignment between Development, DevOps, Architecture, and Product teams through shared quality metrics and collaborative problem-solving. Upskilled distributed SDET team by 35% through structured coaching and clear governance frameworks.
Technical Environment
1
Test Automation Platforms
Enterprise frameworks spanning UI, API, and microservices validation
2
Performance & Load Testing
Continuous performance validation and scalability engineering
3
CI/CD Integration
Quality gates across multiple pipeline platforms and deployment workflows
1
Data & Backend Validation
Database testing, stored procedures, and backend service verification
2
Cloud & Container Platforms
Quality practices for cloud-native and containerized application architectures
3
AI-Augmented Development
Integrated AI tooling for accelerated test generation and intelligent debugging
Ascensus (Internal Role)
Sr Principal SDET | Automation Architect | API Engineer
Oct 2022 – Feb 2025 | Remote
Transformation & Modernization
Led comprehensive modernization of Ascensus's testing infrastructure during a critical growth phase. Upgraded legacy automation frameworks to hybrid Page Object Model architecture with TestNG and Cucumber BDD, improving maintainability and reliability across multiple product lines.
Expanded API test coverage from minimal to comprehensive validation of 200+ endpoints across subscription management, account services, and financial transaction workflows. Introduced AI-augmented test development practices that accelerated delivery cycles while maintaining quality standards.
Key Achievements
Modernized UI automation architecture
Expanded to 200+ API endpoint coverage
Launched AI-driven test acceleration
Built PL/SQL backend validation frameworks
Unified BDD across multiple teams
Optimized test data management
1
Faster Delivery
AI-assisted engineering dramatically accelerated development cycles
2
API Endpoints
Comprehensive coverage across all critical subscription and account services
3
Regression Stability
Nightly automation with gated deploys ensured consistent quality
PennDOT (11+ Years Across Multiple Programs)
Senior SDET / SDET / Automation Engineer
2014 – 2022 | Harrisburg, PA
Critical Statewide Systems Supported
RUC — Road User Charge System
Built comprehensive automation for Pennsylvania's innovative road usage fee calculation and compliance platform using VueJS frontend and Java backend architecture
BMS & BMS3 — Bridge Management
Developed critical infrastructure testing for statewide bridge inspection, maintenance scheduling, and safety compliance systems
ISAM — Security Attribute Management
Implemented security testing frameworks ensuring proper access control and authentication across all PennDOT systems
ECMS / DOCGEN — Document Systems
Automated document generation and project estimation workflows supporting statewide construction and maintenance projects
Technical Contributions
Built automation frameworks for statewide revenue and compliance systems
Created BDD/TDD pipelines for faster dev–test collaboration
Designed hybrid frameworks combining data-driven and keyword approaches
Led Jenkins pipelines for weekly build → test → deploy cycles
Validated backend data using Oracle and SQL Server
Performed REST API testing for subscription, licensing, and compliance flows
Impact & Scale
Reduced testing effort by 30–40% through strategic automation that eliminated manual regression cycles and accelerated release cadence for statewide systems.
Improved regression reliability across multiple public-facing platforms, ensuring citizen-facing services maintained high availability and data accuracy.
Enabled CI/CD readiness for multi-team government programs, supporting Pennsylvania's digital transformation and infrastructure modernization initiatives.
Early Engineering Career — Development Foundation
Application Developer | PennDOT
2011–2014
Built enterprise applications supporting Pennsylvania's transportation infrastructure. Developed business logic, integrated REST services, and created reporting solutions. This development experience established deep understanding of software architecture, debugging, and system integration.
.NET Developer | Invacare & First New York
2010–2011
Delivered healthcare and financial applications using C#, .NET, and SQL Server. Implemented business logic, designed database schemas, and built user interfaces.
Technical Skills Developed
Backend Development
Java · J2EE · .NET · C# · REST Services
Database Engineering
SQL Server · Oracle · Database Design · Optimization
Frontend Technologies
Vue.js · AngularJS · Responsive Design
Business Intelligence
Crystal Reports · Power BI · Data Visualization
Why This Matters
This engineering foundation enables superior debugging, API integration testing, database validation, and architecture alignment—differentiating senior SDETs who understand systems holistically from those who only know testing frameworks.
Technical Reference
Comprehensive keyword reference covering quality engineering domains and technical capabilities.
This portfolio demonstrates 15+ years of quality engineering leadership across enterprise fintech, government systems, and SaaS platforms. I'm open to Principal QE Architect, Director of Quality Engineering, and Head of QE roles where I can drive automation architecture, performance engineering, and organizational quality transformation.