DIGITAL RESUME · EXECUTIVE PROFILE

Swapnil Patil

Technical Program Manager | Quality Engineering Leader | AI Quality Architect

I turn complex engineering priorities into executable roadmaps, reliable quality platforms, measurable delivery signals and sustainable team capability.

My career combines software and database engineering, Quality Engineering architecture, technical program delivery, responsible AI adoption and distributed team leadership.

Current official designation: Technical Project Manager

Harrisburg, Pennsylvania · Remote / Hybrid

swapnilpatil.tech@gmail.com

Executive ProfileCareer JourneyCurrent ScopeMeasured ImpactArchitectureAI QualityLeadershipProjectsCredentialsContact

Program Delivery · Quality Platforms · Architecture · AI Quality · Team Enablement

Executive Profile

Technical Project Manager and Quality Engineering leader with 15+ years across software development, database engineering, automation architecture, performance engineering, AI-assisted delivery and distributed technical programs.

Leads complex platform and Quality Engineering work by connecting architecture, delivery mechanisms, people and measurable evidence. Combines hands-on technical judgment with roadmap ownership, dependency management, release readiness and team enablement.

The consistent focus is not simply creating more automation or process. It is building delivery systems teams can trust, extend and sustain.

15+ Years

Software, data, quality architecture and technical delivery

8 Concurrent Workstreams

Automation, API, mobile, performance, data and CI/CD enablement

5 Direct Senior SDETs

Technical direction, prioritization, reviews and mentoring

20+ Engineers Coordinated

Distributed across four countries

20+ SDETs and Consultants Enabled

Onboarding, standards, mentoring and reusable knowledge

Five-Workstream Assessment

Coverage, risk, gaps and investment recommendations

One Integrated Engineering Leadership Model

Program delivery, Quality Engineering and AI Quality are not separate careers. They operate together to improve engineering decisions.

Reliable Engineering Delivery

Clear decisions · Trustworthy evidence · Sustainable ownership

Technical Program Leadership

Roadmaps · Sequencing · Dependencies · Risk · Cross-functional execution · Release readiness · Executive communication

Quality Engineering Leadership

Quality strategy · Automation reliability · Performance · Coverage · Operating controls · Team capability

AI Quality Architecture

Prompt and context regression · Source grounding · Deterministic validation · Tool-use testing · Human approval

Software Engineering · Data · Architecture · CI/CD · Human Accountability

Career Journey

The leadership foundation was built progressively through software engineering, automation, architecture, platform ownership and technical program delivery.

01 — Software and Database Engineer

Focus: Java and .NET applications · Databases · Integrations · Production support

Contribution: Built the systems foundation used to evaluate design, data and operational tradeoffs

02 — Automation Engineer and SDET

Focus: UI automation · API validation · Database testing · Reusable framework patterns

Contribution: Converted repetitive testing into maintainable engineering systems

03 — Senior SDET and QE Architect

Focus: Framework architecture · CI/CD integration · Release evidence · Technical standards

Contribution: Enabled multiple engineers through reusable architecture and controls

04 — Quality Platform and Automation Lead

Focus: Automation modernization · Performance engineering · API and mobile enablement · Mentoring

Contribution: Connected platform quality decisions to measurable delivery outcomes

05 — Technical Project Manager

Focus: Integrated roadmaps · Eight workstreams · Global delivery · Risk · Stakeholder reporting · Team enablement

Contribution: Aligns people, platforms, dependencies and evidence across complex technical programs

The software and database foundation remains central to how architecture, risk and engineering decisions are evaluated.

Current Leadership Scope

The current role combines direct technical leadership, distributed delivery coordination and responsibility across an integrated engineering portfolio.

Automation Reliability and Frameworks

UI automation · Reusable components · Test data · Stability · Nightly execution

API Quality and Service Validation

REST validation · Business rules · Payloads · Integration evidence · Reusable clients

Mobile API Modernization

Authentication · Session setup · Canonical repositories · Migration guardrails · Regression suites

Performance Regression

Workload models · JMeter · Taurus · BlazeMeter · Baselines · Reporting

Data and Backend Validation

Oracle · PL/SQL · SQL Server · DB2 · Reconciliation · Stored procedures

CI/CD Quality Signals

Jenkins · GitLab · GitHub Actions · Azure DevOps · qTest · Splunk

Coverage and Investment Planning

Scope mapping · Evidence inventory · Risk gaps · Priorities · Staffing recommendations

AI-Enabled QE and Knowledge Systems

Structured documentation · Test assets · Traceability · Human review · Approval boundaries

The workstreams are managed as one dependency-aware program rather than isolated technical projects.

Measured Engineering Impact

The strongest evidence combines improved reliability, lower operating dependency, earlier defect detection and sustainable capability.

Automation Reliability

Below 10% flakiness

Reduced from approximately 50–60%

How: Framework improvements · Stable data · Environment controls · Root-cause discipline

Regression Capacity

3–4 engineers per cycle

Reduced from 15–17 while expanding dependable nightly coverage

How: Scheduled execution · Reusable components · Clear ownership · Operating controls

Earlier Defect Detection

Approximately 5–8 high-impact defects per month

Identified before production

How: Shift-left validation · Cross-layer coverage · Release-readiness evidence

Performance and Investment Evidence

Recurring capability and five-workstream assessment

Performance baselines, thresholds, reporting and coverage priorities

How: JMeter · Taurus · BlazeMeter · Normalized evidence · Risk-based recommendations

Leadership contribution: Roadmap · Architecture direction · Technical review · Operating model · Stakeholder communication · Team enablement

Collaborative delivery: The results were produced through coordinated team execution, not sole implementation.

Architecture and Engineering Depth

Program leadership is supported by hands-on software, data, automation and platform engineering experience.

Program and Delivery Breadth

Roadmaps · Sequencing · Dependencies · Agile delivery · Risk · Release readiness · Executive reporting · Hiring support · Mentoring

Quality Platforms

Java · Selenium · TestNG · Cucumber · REST Assured · Postman · Playwright · Appium · UI, API, mobile and data validation

Performance and Reliability

JMeter · Taurus · BlazeMeter · Workload models · Baselines · Thresholds · Scheduled performance regression · Reporting

Software, Architecture and Data

Java · J2EE · C# · .NET · Spring Boot · REST APIs · Vue.js · JavaScript / TypeScript · Oracle · PL/SQL · SQL Server · DB2

DevOps and AI Quality

Jenkins · GitLab · GitHub Actions · Maven · Azure DevOps · Jira · qTest · Splunk · Prompt and context engineering · Deterministic checks · Human review

Responsible AI Quality and Agent Evaluation

AI is used to accelerate structured engineering work while preserving source traceability, deterministic validation and accountable human decisions.

Approved Sources

Versioned Context

AI or Agent Execution

Deterministic Checks

Human Approval

Reviewable Evidence

Prompt and Context Regression

Versioning · Representative scenarios · Expected behavior · Failure comparison

Grounding and Output Integrity

Approved sources · Traceability · Schema checks · Unsupported-claim detection

Agent Tool-Use Validation

Tool selection · Inputs · Execution order · Permission boundaries · Recovery behavior

Release Controls

Deterministic checks · Engineering review · Approval record · Audit evidence

Selected AI-assisted activities accelerated by approximately 40–50%, with mandatory human review and engineering controls.

Leadership and Capability Building

How Team Capability Is Built

Technical Mentoring

Code reviews · Pair problem-solving · Framework guidance · Root-cause coaching · Architecture discussions

Structured Onboarding

Domain workflows · Automation standards · API testing · Performance engineering · Troubleshooting

Hiring Support

Role calibration · Technical interview panels · Hands-on evaluation · Evidence-based recommendations

Reusable Knowledge Systems

Curricula · Playbooks · Standards · Troubleshooting assets · Contribution guidance

Verified evidence strip: 20+ SDETs and consultants trained and supported

Recognition

Persistent Top Talent FY26

Semicolons 2026 Spot Award — Team Dhurandhar

Persistent Bravo Individual Award

Client and Director Appreciation

Automation · Nightly regression · Performance engineering · Continuous improvement

Selected Evidence Portfolio

Deeper pages provide architecture, implementation and outcome evidence behind the professional profile.

SANITIZED EMPLOYMENT CASE STUDY

Automation reliability, reusable architecture, nightly operating controls, release evidence and team enablement

SANITIZED EMPLOYMENT CASE STUDY

Workload models, parameterized scenarios, baselines, thresholds, recurring execution and reporting

AWARD-RECOGNIZED TEAM PROJECT

Playwright API automation, reusable validation, CI/CD execution and controlled AI assistance

PERSONAL PRODUCT / ENGINEERING LAB

Local-first career evidence, privacy controls, reviewable assets, API validation and automated quality checks

Publications

Education and Professional Foundation

Education

Master of Science in Electrical Engineering / Bachelor of Engineering in Electronics and Telecommunication

Professional Foundation

Software development · Databases · Quality architecture · Technical delivery · Team enablement

Current Focus

Technical program leadership · Quality Engineering modernization · AI Quality architecture · Platform transformation

The career is not defined by one tool or title. It is defined by the ability to connect engineering depth, delivery systems and accountable decisions.

Professional Profile

Name: Swapnil Patil

Brand: Technical Program Manager | Quality Engineering Leader | AI Quality Architect

Current official designation: Technical Project Manager

Location: Harrisburg, Pennsylvania

Preference: Remote / Hybrid

Professional email: swapnilpatil.tech@gmail.com

Relevant opportunities

  • Senior Technical Program Manager
  • Senior Quality Engineering Manager / Director-track
  • Principal Quality Engineering / AI Quality Architect