Transforming Healthcare Quality through AI-Driven Engineering & Regulatory Compliance
Senior QA Leader with a proven track record of transforming delivery for Fortune 500 healthcare clients at Accenture. I architect quality ecosystems where AI-driven automation meets stringent regulatory compliance (HIPAA, FDA, ISO), preventing patient safety risks while driving measurable business impact.
Impact at Scale:
- 40% reduction in patient care costs through Shift-Left and Risk-Based Testing strategies
- 30% improvement in patient wait times by streamlining QA workflows and automation coverage
- Led and mentored global teams of 15+ engineers across multiple time zones
- 2025 Innovation Focus: AI Agent Architecture and MCP (Model Context Protocol) integration to automate the STLC
I move beyond traditional "testing" to build Quality Intelligence Systems. My approach integrates AI agents at every quality gate to ensure safety-critical healthcare applications deliver both speed and compliance.
Core Philosophy: Quality engineering that prevents patient safety risks, enables regulatory confidence, and accelerates innovation in healthcare technology.
| Domain | Expert Tech Stack |
|---|---|
| Leadership | Strategic Roadmap Planning, Resource Modeling, Agile/Scrum (Registered Scrum Basics™) |
| AI & LLM | Anthropic MCP, Google Gemini, Prompt Engineering, AI Agent Architecture |
| Automation | Rest Assured, Postman, Selenium, Java, Python, SQL |
| Cloud & DevOps | AWS (Certified), Azure, Microsoft Copilot, MLOps for Gen-AI |
| Compliance | HIPAA, FDA 21 CFR Part 11, ADA Accessibility, EHR/EMR Integration |
| Testing Types | Regression, Scrum, SIT, Exploratory, E2E, API, Database, Web Services |
| Tools | JIRA, Confluence, TestRail, HP ALM, SoapUI |
A production-ready, intelligent customer support solution built with Google Agent Development Kit (ADK) for Java, showcasing enterprise-grade multi-agent orchestration and robust tooling.
Key Features:
- Multi-agent orchestration for complex customer inquiries
- Enterprise-grade reliability and scalability
- Integrated tooling for seamless support workflows
Technology Stack: TypeScript, Google Agent Development Kit (ADK), Java
A multi-modal AI workspace built with React and Google Gemini 2.5. Features an Intelligent Email Agent, Generative Image Editor, and Real-time Live Voice Assistant wrapped in a modern glassmorphic UI.
Key Features:
- Intelligent Email Agent for automated correspondence
- Generative Image Editor with AI-powered editing capabilities
- Real-time Live Voice Assistant for interactive conversations
- Modern glassmorphic UI design
Technology Stack: TypeScript, React, Google Gemini 2.5, RAG Architecture
An intelligent document search engine powered by Google Gemini 2.5. Upload multiple PDFs, perform context-aware keyword searches, and jump to exact page citations with a built-in viewer.
Key Features:
- Multi-PDF upload and processing
- Context-aware keyword search across documents
- Exact page citation with integrated PDF viewer
- Optimized for medical and regulatory documentation
Technology Stack: TypeScript, Google Gemini 2.5, PDF Processing, RAG
A production-grade framework for evaluating AI model responses through structured prompts, rubric-based scoring, and automated reporting. This project applies enterprise quality assurance methodologies to large language model outputs.
Key Features:
- Structured prompt evaluation system
- Rubric-based scoring for objective assessment
- Automated reporting and analytics
- Quality metrics for AI/LLM responses
Technology Stack: Python, LLM Frameworks, SQL, AWS
An institutional-grade financial intelligence platform that transforms complex corporate earnings PDFs into structured, actionable insights using Gemini 3 Pro. Features advanced multimodal reasoning for extracting key financial metrics, sentiment analysis, and comparative benchmarking capabilities.
Key Features:
- Gemini 3 Pro extraction engine for Revenue, Net Income, EPS, and Margins with forensic precision
- Narrative sentiment analysis with 0-100 Bullishness scoring and interactive gauges
- Market grounding integration with real-time Google Search tools
- Side-by-side comparative hub with baseline and benchmark indicators
- Universal ticker intelligence with keyboard-first navigation
- Built-in UI diagnostics suite for responsive layout verification
Technology Stack: TypeScript, React 19, Google Gemini 3 Pro, Recharts, Tailwind CSS
A minimalistic flight tracking application demonstrating clean UI/UX principles and real-time data integration.
Key Features:
- Real-time flight status tracking
- Minimalistic and intuitive interface
- Responsive design for mobile and desktop
Technology Stack: TypeScript, React
A curated collection of production-ready AI prompts for various use cases, including quality assurance, testing, and healthcare compliance workflows.
Key Features:
- Production-tested prompt templates
- Healthcare and compliance-focused examples
- Prompt engineering best practices
Technology Stack: HTML, Markdown
Explore my complete portfolio of 20+ repositories on GitHub, including automation frameworks, testing tools, and AI experimentation projects.
AI & Agentic Systems:
- Introduction to MCP (Anthropic) | Oct 2025
- AI Fluency Framework & Foundations (Anthropic) | Aug 2025
- Becoming an AI Agent Architect (IBM) | Jul 2025
- ChatGPT Prompt Engineering for Developers (Coursera) | Jul 2025
- Generative AI in Action (IBM) | Jun 2025
Cloud & MLOps:
- AWS Cloud Practitioner Essentials (AWS) | May 2025
- MLOps for Generative AI (Google) | Jun 2025
- Microsoft Copilot Foundations (Microsoft) | Jun 2025
Agile Leadership:
- Registered Scrum Basics™ (Scrum Inc.) | Aug 2025
- Generative AI for Project Managers (PMI) | Mar 2025
Empathy, Integrity, and Transparent Communication define my leadership approach. At Accenture, I transformed QA delivery for Fortune 500 healthcare clients, earning awards for both leadership excellence and technical innovation.
Core Beliefs:
- Quality engineering is a strategic business enabler, not a cost center
- Teams perform best when mentored with empathy and equipped with cutting-edge tools
- Healthcare technology requires zero-compromise approaches to patient safety
- AI augments human expertise but never replaces human judgment in safety-critical systems
- Delivered 40% reduction in patient care costs through shift-left and risk-based testing methodologies
- Led Fortune 500 healthcare transformations at Accenture with measurable clinical and operational impact
- Pioneered AI-powered testing frameworks using LLMs and generative AI to enhance accuracy and scalability
- Built and scaled global QA teams of 15+ professionals across multiple time zones
- Achieved 100% compliance rates across HIPAA, FDA, and ISO audits for safety-critical healthcare systems
- Location: Dallas / Irving, TX (Open to Remote)
- Status: 🇺🇸 U.S. Citizen | 🚀 Immediate Joiner
- LinkedIn: Connect with me
- Email: darshils99@gmail.com
I'm seeking leadership opportunities where I can drive quality transformation at scale in healthcare technology. Whether you're building compliant-by-design systems, modernizing legacy healthcare infrastructure, or pioneering AI-driven clinical solutions, let's collaborate to create safer, smarter healthcare innovation.
Ideal Roles: QA Lead, Functional QA Engineer, UAT Tester, UAT Test Lead, E2E Test Lead, Project Management Entry level with QA experience, AI Consultant, Prompt Engineer
"I lead QA teams that do far more than find bugs—we prevent patient safety risks, drive measurable business impact, and enable safer, smarter healthcare innovation."