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QA Automation Engineer with 3+ years in Solar SaaS Domain and AI-Augmented Testing
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I'm a QA Automation Engineer with 3.5 years of experience in the solar energy SaaS space, where I've been responsible for testing and automating 20+ product modules from CRM and lead management to dynamic pricing, incentive engines, and proposal generation. I built our Playwright (TypeScript) automation framework from the ground up, which brought regression time down from 2 hours to 30 minutes and gave the team real confidence in every release. I enjoy solving tricky testing problems — like figuring out how to automate canvas interactions that most tools can't handle and I've been exploring how AI tools like TestRigor and GitHub Copilot can make QA smarter and faster.
Shri Mata Vaishno Devi University
Master of Technology (M.Tech) · Energy Systems
N/A – Present
University of Jammu
Bachelor of Engineering (B.Ε.) · Electrical Engineering
N/A – Present
Inarka Energy Private Limited
QA Automation Engineer
November 1, 2022 – Present
Bengaluru, Karnataka, India
Going Beyond Award
Inarka Energy Private Limited
June 1, 2026 – Present
Top Notch Results Award
Inarka Energy Private Limited
June 1, 2026 – Present
Performance Analysis of Variable Frequency Transformer for Power Flow In-between Synchronous Network Under Varying Voltage Conditions.
Unknown
June 1, 2026 – Present
Design and performance evaluation of Grid tied and Standalone Solar PV System for location having Latitude 32.94 and Longitude 74.95 degrees E.
Unknown
June 1, 2026 – Present
Real-Time Fault Analysis of VFT for Synchronous Power Flow Control using MATLAB Simulink and Typhoon HIL.
Unknown
June 1, 2026 – Present
Futuristic decentralized clean energy networks in view of inclusive-economic growth and sustainable society.
Journal of Cleaner Production
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's experience in building a framework from scratch, actively exploring AI tools for QA, and taking initiative in test strategy indicates a proactive and innovative mindset. Their involvement in enterprise client features and mentorship suggests a collaborative and growth-oriented approach. The awards received further highlight a commitment to excellence and high performance, aligning with a culture that values impact and continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, a proactive approach to quality assurance, and effective collaboration within Agile teams. Their experience in mentoring junior engineers and sharing QA health reports indicates leadership potential and a commitment to team improvement. The focus on reducing manual effort and improving CI reliability aligns well with operational efficiency goals.