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QA Automation Engineer with 6+ years in AI/LLM Validation & Agile Delivery
ISTQB-certified QA Lead & Business Analyst with 5+ years of international experience, specializing in AI/LLM validation and Agile delivery. Led QA for mission-critical systems at the Reserve Bank of India, sustaining a zero-defect production environment for 18 months. Drove 40% improvement in software adoption through targeted stakeholder training and scaled test coverage by 30%, achieving 99% accuracy in user-intent validation for Generative AI features.
Middlesex University, Dubai
MBA · AI and Business Analytics (Machine Learning, Predictive Analytics, AI Strategy)
N/A – Present
Mumbai University, India
B.E. · Electrical Engineering
N/A – Present
MangoApps
Software Test Engineer & Business Analyst
December 1, 2022 – Present
Pune, Maharashtra, India
AQM Technologies
Software Test Engineer (QA Lead)
June 1, 2021 – November 1, 2022
Mumbai, Maharashtra, India
Parshwa Electricals
Associate Test Engineer
June 1, 2019 – December 1, 2020
Mumbai, Maharashtra, India
NSE Academy Certification in Financial Markets (NCFM)
NSE Academy
June 1, 2026 – Present
ISTQB Certified Tester – Foundation Level (CTFL)
Unknown
June 1, 2026 – Present
ISTQB Agile Tester (CTFL-AT)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different industries (e-commerce, banking, general software) and roles (Associate Test Engineer, QA Lead, Software Test Engineer & Business Analyst) indicates adaptability and a broad perspective. Their involvement in AI/LLM validation and data-driven QA aligns well with innovative and forward-thinking organizational cultures. The ongoing MBA in AI and Business Analytics also shows a commitment to continuous learning and staying current with emerging technologies, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and communication skills through their experience in leading UAT roadmaps, conducting training sessions, and orchestrating requirement workshops with C-suite stakeholders. Their ability to optimize Agile workflows and manage high-velocity defect boards indicates strong operational fit and process orientation. The MBA in AI and Business Analytics further suggests a strategic mindset and a focus on leveraging data for business outcomes.