Professional Experience — AI-Driven Quality Engineering Leadership
A 15+ year journey across enterprise fintech, government, and SaaS platforms—delivering automation modernization, performance engineering, DevOps-driven quality gates, AI-augmented testing, and SDET team leadership. This comprehensive portfolio showcases proven expertise in building scalable automation frameworks, implementing performance engineering strategies, and leading distributed teams to deliver measurable business impact.
This page is optimized for ATS systems, technical recruiters, and engineering leaders—presenting a clean, skimmable, keyword-rich narrative focused on tangible outcomes and technical depth. Each section demonstrates real-world problem-solving, architectural thinking, and the ability to drive quality transformation at enterprise scale.
Leveraging GenAI to accelerate test development, intelligent debugging, and framework modernization
Automation & Performance Engineering Lead
Building scalable UI/API/microservices frameworks with embedded performance gates in CI/CD pipelines
SDET Manager & DevOps Architect
Leading distributed teams, establishing quality governance, and integrating shift-left practices across GitHub Actions, Jenkins, and GitLab CI
Core Technology Stack: Java · Selenium · API Testing · Performance Engineering · Cloud Quality · Mobile Testing · Copilot & Cursor AI Integration
Core Expertise Snapshot
Automation Architecture
Designing and implementing comprehensive test automation strategies across UI, API, microservices, and mobile platforms using industry-standard frameworks and patterns
Performance Engineering
Establishing performance baselines, identifying bottlenecks, and embedding continuous performance validation into CI/CD quality gates
DevOps Quality Gates
Building robust quality checkpoints across GitHub Actions, Jenkins, GitLab CI, and Azure DevOps to ensure deployment readiness
AI-Augmented QE
Integrating Copilot, Cursor, and ChatGPT to accelerate test generation, enhance debugging workflows, and drive intelligent automation
Deep expertise in PL/SQL, SQL Server, and DB2 for comprehensive data validation and stored procedure testing
Cloud & Containerization
Implementing quality engineering practices across AWS, Azure, Docker, and Kubernetes environments for cloud-native applications
Persistent Systems (Ascensus Program)
AI-Driven Principal QE Architect | Automation & Performance Lead | SDET Manager
Feb 2025 – Present | Remote, USA
Why I Was Hired
Persistent Systems brought me on to transform quality engineering across the entire Ascensus enterprise—a complex fintech ecosystem requiring sophisticated automation strategies and performance excellence. The organization needed a senior technical leader who could architect scalable solutions while simultaneously building team capability and establishing modern QE practices.
My mandate encompasses building next-generation automation frameworks, embedding performance engineering deeply into CI/CD workflows, and pioneering an AI-driven SDET practice that fundamentally accelerates delivery velocity while strengthening quality outcomes. This role requires balancing hands-on technical architecture with strategic leadership and organizational change management.
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 and deployed modular UI/API/microservices frameworks using Java, Selenium, TestNG, Cucumber, and REST Assured. Established standardized patterns, reusable utilities, and component libraries that eliminated redundant framework development across multiple teams.
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
Pioneered the integration of Copilot and Cursor-powered workflows for accelerated test generation, intelligent code completion, and AI-assisted debugging. Developed organizational best practices and conducted comprehensive upskilling workshops for 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 comprehensive performance baselines using JMeter and BlazeMeter for 10+ critical user journeys. Built continuous performance validation directly into CI/CD pipelines, enabling early detection of degradation.
Impact: Identified and resolved microservice caching bottlenecks that were causing 30% throughput degradation, significantly improving system scalability.
DevOps & CI/CD Quality Gates
Implemented sophisticated 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 a comprehensive QE operating model including Definition of Ready/Done, standardized bug lifecycle management, and RCA protocols. Created Kanban workflows optimized for automation and performance engineering streams.
Impact: Upskilled a distributed 6–8 member team, achieving a 35% productivity increase through clear processes and continuous coaching.
Impact Delivered at Persistent Systems
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
Cross-Functional Collaboration Success
Built stronger partnerships across Development, DevOps, Architecture, and Product teams by establishing clear communication channels, shared quality metrics, and collaborative problem-solving practices. This alignment created a unified quality culture that permeates the entire organization.
Organizational Impact
Enhanced Dev-QE collaboration through shared ownership
Aligned DevOps and QE on deployment readiness criteria
Partnered with Architecture on quality-driven design
Provided Product teams with actionable quality insights
GitHub Actions · GitLab CI · Jenkins · Azure DevOps
1
Database & Backend
PL/SQL · Oracle · SQL Server · Data Validation
2
Cloud & Infrastructure
Docker · Kubernetes · AWS · Azure · Microservices
3
AI & Modern Tools
Copilot · Cursor · GenAI · ChatGPT Integration
Ascensus (Internal Role)
Sr Principal SDET | Automation Architect | API Engineer
Oct 2022 – Feb 2025 | Remote
Transformation & Modernization
Led the comprehensive modernization of Ascensus's testing infrastructure during a critical growth phase. Upgraded legacy automation frameworks to hybrid Page Object Model with TestNG and Cucumber BDD, dramatically improving maintainability and test reliability across multiple product lines.
Expanded API test coverage from minimal to comprehensive, validating 200+ endpoints across subscription management, account services, and financial transaction workflows. Introduced cutting-edge AI-driven test acceleration using Copilot and ChatGPT, fundamentally changing how the team approaches test development.
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
Measurable Impact
Testing effort reduced by 40–50% through strategic automation that eliminated manual regression cycles and accelerated release cadence.
Regression reliability increased across multiple statewide systems, ensuring citizen-facing services maintained high availability and accuracy.
CI/CD readiness enabled for multi-team programs, supporting Pennsylvania's digital transformation initiatives.
Early Engineering Career — Development Foundation
Application Developer | PennDOT
2011–2014
Built enterprise applications supporting Pennsylvania's transportation infrastructure. Developed critical business logic, integrated REST services, and created reporting solutions using Crystal Reports and SQL Server. This hands-on development experience provided 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 that balanced functionality with usability.
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—skills that differentiate senior SDETs who understand systems holistically versus those who only know testing frameworks.
Comprehensive Keyword Index
This section provides ATS-optimized keyword coverage across all major quality engineering domains, ensuring maximum searchability for recruiters and hiring systems.
Thank you for reviewing my quality engineering leadership portfolio. I'm passionate about building scalable automation architectures, embedding performance excellence into CI/CD workflows, and pioneering AI-driven testing practices that deliver measurable business value. Whether you're looking for technical leadership, hands-on SDET expertise, or strategic QE transformation, I bring 15+ years of proven enterprise experience.