Quality Engineering for Regulated Large-Scale Systems
Nikhil Singh specializes in quality engineering for complex, regulated software platforms operating at scale. His work focuses on reliability, compliance, and risk-driven testing for healthcare, government, and workforce systems handling sensitive data and high-impact workflows.
He has served in critical quality roles across Amazon workforce and delivery platforms (including A to Z and Flex), state-wide healthcare and public service systems for the State of Vermont, and healthcare digital product teams supporting Epic-based workflows.
Focus
- Regulated systems QA strategy, release readiness, and audit-aligned evidence
- API reliability, system-to-system integration validation, and data integrity
- Accessibility compliance (Section 508) integrated into delivery and release criteria
- Risk-based QA governance for high-impact workflows (eligibility, enrollment, claims-adjacent)
About
Nikhil Singh is a Quality Engineering specialist focused on large-scale, regulated software systems across healthcare, government, and enterprise platforms. His work centers on system reliability, regulatory compliance, and data integrity for distributed systems operating under strict operational and legal requirements.
Over nine years, he has served in roles responsible for defining QA strategy, release readiness criteria, and risk-based governance for mission-critical platforms, including Amazon workforce and delivery partner systems (A to Z and Flex), State of Vermont Agency of Human Services programs, and healthcare product teams supporting Epic-based patient experience workflows.
His work includes eligibility and enrollment verification, claims-adjacent processing systems, and integration-heavy platforms that handle sensitive PII/PHI. These environments require defensible quality governance, clear release readiness criteria, and repeatable evidence for compliance-focused stakeholders.
He has led testing strategy and release readiness practices for high-impact workflows where quality failures can create compliance findings, payment or benefit errors, or service disruption. His background includes API gateway testing, standards-based data exchange validation (including EDI/X12 patterns where applicable), and cross-functional coordination across engineering, product, vendors, and stakeholders to drive stable and compliant delivery.
Areas of Expertise
Quality Engineering for Regulated & Enterprise-Scale Systems
Designing and executing QA strategies for systems subject to regulatory audit and enterprise operational demands. This includes governing release readiness for state-wide healthcare exchanges and large-scale workforce and delivery platforms where reliability and data integrity are mandatory.
Healthcare & Government Eligibility / Enrollment and Claims-Adjacent Workflows
Validating CMS-regulated and public service systems involving eligibility determination, enrollment maintenance, verification workflows, and claims-adjacent processing. Focused on high-risk scenarios, policy-driven changes, and evidence that supports audit and compliance review.
EDI/X12 and Standards-Based Data Exchange
Testing standards-driven transactions and integrations used in healthcare and government workflows, including EDI/X12 patterns where applicable. Emphasis on mapping verification, schema validation, reconciliation, and defect isolation across upstream and downstream systems.
API Reliability & Distributed Integration
Testing and validating system-to-system integrations, API gateways, and backend workflows to ensure correctness, stability, and operational resilience. Coverage includes contract validation, negative testing, failure-mode testing, and integration monitoring signals that support release readiness.
Workforce, Scheduling, and Operational Execution Workflows
Testing high-impact operational workflows that depend on distributed services and multiple integrations, where reliability and data correctness directly affect service continuity. Focused on failure-mode coverage, reconciliation, and release readiness signals for integration-heavy systems.
Performance and Load Testing for High-Transaction Systems
Planning and executing load and stress testing for APIs and integration layers to identify bottlenecks and reliability risks before release. Focused on throughput, latency, error rates, and stability under realistic peak conditions.
Accessibility Compliance (Section 508)
Integrating accessibility testing into release criteria and remediation workflows for public-facing and compliance-bound systems. Focused on repeatable checks, testable requirements, and stakeholder-ready evidence for accessibility verification.
Test Automation for Web and Mobile
Building and maintaining automated test coverage for web and mobile applications using industry-standard frameworks and CI-friendly execution patterns. Experience spans UI automation, API automation, regression suites, and automation reporting used for release decisions.
Data Validation and SQL-Based Verification
Validating complex workflows through direct database verification, reconciliation, and controlled test data setup. Focused on correctness of persisted records, downstream propagation, and detection of outliers that indicate systemic defects.
Publications & Writing
Nikhil Singh writes and is preparing practical articles on quality engineering for regulated, large-scale systems, with a focus on healthcare and government platforms, accessibility compliance, API reliability, and risk-based QA governance.
Forthcoming topics
- Quality engineering governance for CMS-regulated systems
- Risk-based testing for eligibility and enrollment platforms
- Operationalizing Section 508 accessibility compliance in release readiness
- API reliability testing patterns for government and healthcare integrations
Selected Independent Technical Projects
Selected independent systems developed outside employment. These projects provide supplemental evidence of end-to-end engineering capability, production deployment, and real-world use.
Full-stack platform developed and deployed for a small business to manage customers, services, orders, and operational workflows. Implemented backend services, relational data modeling, and user-facing interfaces using Python (Flask), SQLAlchemy, and PostgreSQL with a web UI using jQuery and server-side templates and API endpoints.
Deployed to production and used in daily operations for order tracking, invoice workflows, and operational reporting.
Desktop simulation application implementing a coverage sweeping algorithm using C# and .NET. Built a real-time simulation loop with graphics rendering, multi-threading, configurable parameters, and structured logging for behavioral evaluation and repeatable scenario testing.
Professional Engagement
For professional collaboration, speaking opportunities, peer review, or technical discussion:
- Email: nik8singh@gmail.com
- LinkedIn: linkedin.com/in/nikhilsingh-qa