Technical Program Manager | Quality Engineering Leader | AI Quality Architect
I turn complex engineering priorities into governed roadmaps, reliable quality platforms, measurable delivery signals and scalable team capability across regulated financial and public-sector systems.
Platform Transformation · Automation · Performance · CI/CD · AI Quality & Agent Evaluation
Harrisburg, Pennsylvania · Remote / Hybrid
Verified scope and measurable outcomes from platform delivery, quality engineering modernization and global team enablement.
Software engineering, quality architecture and technical delivery
Across automation, API, mobile, performance, data and CI/CD enablement
Delivery coordination across 20+ engineers in four countries
Reduced from approximately 50–60%
Reduced from 15–17 while expanding reliable nightly coverage
Identified before production through shift-left controls
One engineering career viewed through three adjacent leadership lenses.
Translate ambiguous platform priorities into integrated roadmaps, milestones, dependencies, delivery mechanisms, risk controls and executive communication across distributed teams.
Eight concurrent workstreams · 20+ engineers · Global delivery · Release readiness
Build reliable QE operating models across automation, performance, API, mobile, data and CI/CD while improving delivery capacity, quality signals and team capability.
Flakiness below 10% · Regression staffing reduced to 3–4 · Performance capability built
Design human-reviewed AI workflows, evaluation controls, deterministic checks, source traceability and approval boundaries for trustworthy engineering delivery.
Prompt and context engineering · Tool-use validation · Human approval · Reviewable evidence
Selected programs, platforms and engineering systems demonstrating program leadership, quality modernization and responsible AI use.
Stabilized fragmented UI and API automation through reusable architecture, nightly operating controls, root-cause discipline and measurable quality signals.
Proof: Flakiness reduced from approximately 50–60% to below 10%; regression staffing reduced from 15–17 engineers to 3–4.
Built recurring performance validation from workload models and baselines through parameterization, thresholds, CI/CD integration, reporting and sustainable ownership.
Proof: JMeter · Taurus · BlazeMeter
Created an award-recognized Playwright API automation solution with reusable validation, reporting, CI/CD execution and human-reviewed AI assistance.
Proof: Semicolons 2026 Spot Award · Team Dhurandhar
A local-first career evidence and application operating system using governed sources, reusable assets, human approvals, privacy controls and automated validation.
Proof: Next.js · FastAPI · SQLAlchemy · Playwright · GitHub Actions
Turn priorities into defined scope, sequence, ownership, milestones, risks and measurable completion criteria.
Use automation, coverage, baselines, dashboards and release evidence to support decisions.
Apply nightly reviews, root-cause analysis, fix-or-revert discipline, quality gates and proportionate escalation.
Build reusable architecture, contribution standards, onboarding, mentoring and knowledge systems teams can sustain.
My goal is not more process. It is clearer decisions, faster feedback and delivery systems that remain reliable as teams and platforms scale.
Program leadership backed by hands-on software, data, automation and platform engineering experience.
Roadmaps · Sequencing · Dependencies and risk · Agile delivery · Release readiness · Executive reporting · Hiring and mentoring
Selenium · TestNG · Cucumber · REST Assured · Playwright · Postman · Appium · UI, API, mobile and data validation
JMeter · Taurus · BlazeMeter · Workload models · Baselines · Thresholds · Recurring performance regression · Reporting
Java · J2EE · C# · .NET · Spring Boot · REST APIs · Vue.js and TypeScript · Oracle · PL/SQL · SQL Server · DB2
Jenkins · GitLab · GitHub Actions · Maven · Azure DevOps · Jira · qTest · Splunk · Prompt and context engineering · Deterministic checks · Tool-use validation · Human review
Team Dhurandhar
Automation · Nightly regression · Performance engineering · Continuous improvement
One unified public profile connecting technical program leadership, Quality Engineering, architecture, AI quality, and selected evidence.
Open to Senior Technical Program Manager, Senior Quality Engineering Manager / Director-track, and Principal QE / AI Quality Architect opportunities.
Practical advisory and delivery support for organizations modernizing enterprise applications, data and reporting workflows, quality engineering, and AI-enabled engineering practices.
Independent advisory · Assessment · Modernization · Technical Leadership
Focused advisory and delivery support across four interconnected practice areas, grounded in hands-on engineering and platform leadership experience.
Current-state assessments, modernization roadmaps, architecture and delivery reviews, technical risk analysis, dependency planning, system and process improvement, and implementation strategy.
Enterprise data integration, data validation and reconciliation, database and reporting workflows, migration controls, executive reporting and analytics enablement.
Oracle · SQL Server · DB2 · PL/SQL · T-SQL · ERWIN · SSIS · Informatica · Crystal Reports · BusinessObjects · Excel/VBA · APIs · Batch Processing
Quality strategy, UI/API/data automation, regression modernization, performance engineering, CI/CD quality gates, release-readiness controls, test architecture, observability, and measurable reliability improvement.
AI-assisted engineering workflows, prompt and context validation, agent and tool-use testing, governed automation, knowledge systems, traceability, deterministic checks, approval boundaries, and human-reviewed delivery.
I help organizations turn aging or complex enterprise systems into evidence-based decisions. My work combines stakeholder discovery, current-state and risk assessment, data/integration/reporting analysis, modernization option framing, and pragmatic roadmaps designed for executive decision-making.
Current-state and technology-ecosystem assessment
Stakeholder discovery and business-process review
Legacy application modernization strategy
Data quality, reporting and SQL-dependency analysis
Integration and API strategy at decision level
Security, permissions, auditability and resiliency review at architectural/governance level
Keep / modernize / replace / hybrid option analysis
Prioritized roadmaps, decision gates and implementation considerations
Experience reflects Swapnil Patil's individual professional history.
Application and database engineering, data modeling, migration and validation, reporting and release coordination across public-sector enterprise platforms.
Technical program leadership across platform risk, roadmap sequencing, API, mobile, performance and CI/CD in regulated financial environments.
Oracle, SQL Server, DB2, SSIS, Informatica, Crystal Reports, BusinessObjects, REST/WCF/API services across enterprise data and integration programs.
Discover — Stakeholder interviews, system inventory, business-process mapping
Map Current State — Architecture, data flows, integrations, dependencies, technical debt
Assess Risk — Security, resiliency, auditability, compliance exposure, operational risk
Compare Options — Keep / modernize / replace / hybrid scored against cost, risk and capability
Build Roadmap — Prioritized phases, decision gates, implementation considerations
Executive System Summary
Current-state and risk heatmap
Stakeholder findings map
Scored option matrix
Conceptual future-state considerations
Prioritized phased roadmap
Experience shown reflects Swapnil Patil's individual professional history. Client-confidential information is not published.
Engagements are structured around defined scope, measurable outcomes, and the organization's actual delivery context.
Short, fixed-scope engagements for technical assessment, gap analysis, modernization roadmap, delivery strategy, or engineering operating-model recommendations.
Fixed scope · Defined deliverables · Clear completion criteria
Outcome-based engagements covering data and reporting improvements, automation modernization, migration support, platform quality, technical delivery, and measurable engineering improvement.
Outcome-based · Phased delivery · Measurable improvement
Ongoing technical program, architecture, Quality Engineering, modernization, or AI-engineering advisory for organizations needing senior technical leadership without a full-time executive hire.
Ongoing advisory · Senior technical leadership · Flexible engagement
Experience spans hands-on software and database engineering through architecture, Quality Engineering platforms, technical program leadership, and AI-enabled delivery.
Enterprise application delivery, data integration, reporting workflows, and quality engineering in regulated public-sector environments.
Platform quality, automation modernization, performance engineering, and technical delivery in regulated financial systems.
Architecture reviews, delivery governance, quality controls, and modernization roadmaps for complex, compliance-sensitive enterprise platforms.
Data integration, validation, reconciliation, migration controls, reporting workflows, and analytics enablement for high-volume enterprise data environments.
The following programs and platforms demonstrate the depth and scope of delivery experience relevant to consulting engagements. Full case studies are available on the portfolio.
Stabilized fragmented UI and API automation through reusable architecture, nightly operating controls, root-cause discipline, and measurable quality signals.
Flakiness reduced from ~50–60% to below 10% · Regression staffing reduced from 15–17 engineers to 3–4
Built recurring performance validation from workload models and baselines through parameterization, thresholds, CI/CD integration, reporting, and sustainable ownership.
JMeter · Taurus · BlazeMeter
Enterprise application delivery, data integration, reporting workflows, and quality engineering in regulated public-sector environments including transportation and government systems.
Regulated environment · Data integration · Reporting workflows · Quality engineering
Award-recognized Playwright API automation solution with reusable validation, reporting, CI/CD execution, and human-reviewed AI assistance.
Semicolons 2026 Spot Award · Team Dhurandhar · Human-reviewed AI delivery
Engagements can be structured around assessment, defined deliverables, phased implementation, or ongoing technical leadership.