Author and editorial lead

Sandip Thorat

Digital Quality and Computerized Systems Assurance Leader

Sandip develops practical guidance, research and software tools for computerized systems assurance, AI-enabled quality systems and regulated digital systems.

His work focuses on intended use, functional risk assessment, risk-based testing, supplier assessment, and maintaining the validated state.

His public professional profile describes more than 15 years of work across GxP and non-GxP software quality and compliance. This site presents independent practitioner work and does not represent an employer or client.

Professional focus

Digital Quality, Computerized Systems Assurance, and Responsible AI in Regulated Life Sciences.

Areas of expertise

  • Risk-based computerized systems assurance
  • SaaS, supplier, interface, and migration assessment
  • Electronic records, audit trails, and data integrity
  • AI-enabled GxP systems and human review
  • Risk-based testing and traceability

Research interests

  • Maintaining the validated state for continuously changing systems
  • Supplier assessment and use of supplier test results
  • AI use controls for probabilistic systems
  • AI-assisted document review
  • Validation rationale and inspection readiness

Education and certification

  • Master’s degree in Pharmacy
  • CRISC — Certified in Risk and Information Systems Control, ISACA

Based on Sandip’s verified public LinkedIn profile. Institution, dates, and credential identifiers are omitted until source documents are approved for publication.

Selected public work

Validating the Future

A five-part practitioner series on continuous validation, generative AI, autonomous quality systems, and algorithmovigilance.

Open complete publication record →
  1. Part 1From Simulation to Reality: Why AI Systems Need Continuous Validation ↗
  2. Part 2The Evolution of Validation for Intelligent Systems ↗
  3. Part 3How Generative AI Is Beginning to Transform Testing Itself ↗
  4. Part 4Continuous Validation & Autonomous Quality Systems ↗
  5. Part 5Algorithmovigilance: How to Monitor and Control AI Systems in the Real World ↗

Content governance

Editorial Method and Independence

Source hierarchy

Binding text and primary issuing-authority material come first. Guidance, standards, industry practice, and professional interpretation are labeled distinctly.

Technical review

Technical pages identify author, publication and review dates, version, scope, limits, references, correction route, and AI-use disclosure where applicable.

Independence

CSV to CSA is a practitioner-led educational platform. No employer, client, regulator, supplier, or professional body endorsement is implied.

Professional record governance

Only claims supported by an approved public source are displayed. Institution and graduation details, credential verification, memberships, awards, speaking records, completed peer reviews, ORCID, Google Scholar, biography, and CV remain unpublished until Sandip supplies and approves their source records.

Professional inquiry