Udayaprakash Pasupathi — Associate Consultant
I am an AI-driven Quality Engineering leader with 10+ years of experience architecting scalable automation systems and applying Machine Learning to enterprise-grade platforms. My expertise lies in building intelligent validation ecosystems where traditional software testing meets statistical rigor and AI-driven decision systems. Over the course of my career, I have led and influenced initiatives across: • Automation Architecture design using Playwright, Selenium, Java, and Python • Applied Machine Learning including EDA, feature engineering, classification modeling, and model evaluation • Data-driven validation strategies for financial and IAM systems • Engineering governance practices ensuring reliability, traceability, and production-grade quality I specialize in designing ML-aware testing frameworks that go beyond functional validation to include: ✔ Statistical model validation (accuracy, precision-recall, bias detection) ✔ Data integrity and feature drift monitoring ✔ Risk-based regression using ML prioritization ✔ GenAI-powered test case generation and intelligent scenario design ✔ Defect clustering and pattern detection using data analytics As AI systems increasingly power enterprise applications, I focus on establishing architectural standards for: • LLM evaluation and response consistency validation • Explainability and measurable quality metrics for ML systems • Responsible AI testing practices • Continuous feedback loops between model performance and validation strategy My technical stack includes Python, Pandas, NumPy, Scikit-learn, API validation frameworks, automation architecture design, and applied ML pipelines. I am deeply interested in advancing Quality Engineering toward autonomous and agentic testing ecosystems — where AI systems assist in planning, prioritization, and continuous improvement under strong engineering governance. I believe the next evolution of QA leadership lies in designing intelligent systems, not just executing test cases.
Stackforce AI infers this person is a Fintech-focused Quality Engineering leader with expertise in AI-driven automation.
Location: Bengaluru, Karnataka, India
Experience: 9 yrs 7 mos
Skills
- Applied Machine Learning
- Machine Learning
- Test Automation Frameworks
- Continuous Integration And Continuous Delivery (ci/cd)
- Regression Testing
Career Highlights
- Expert in architecting scalable automation systems.
- Pioneered ML-aware testing frameworks for intelligent validation.
- Led initiatives in AI-driven quality engineering.
Work Experience
Genpact
Principal Consultant (4 yrs)
Integra Connect
LEAD SDET (9 mos)
CommScope
Research and Development Test Engineer (1 yr 1 mo)
Genpact Headstrong Capital Markets
Lead Consultant (1 yr 8 mos)
Tech Mahindra
Senior Software Engineer (1 yr 2 mos)
Test Yantra
Software Test Engineer (11 mos)
Education
Bachelor of Engineering - BE at Sri Venkateswara College of Engineering and Technology