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QA Engineer with 3+ years in automation & manual testing across web and mobile platforms.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software QA Engineer with 3+ years of experience delivering manual and automated testing across web and mobile applications throughout the full SDLC and STLC in Agile environments. Skilled in test strategy, test case design, E2E validation, and defect lifecycle management. Hands-on with Selenium, Python (pytest), Postman, API testing, mobile automation, backend validation, and AI feature testing. Recognized for improving regression efficiency, strengthening release stability, and collaborating with cross-functional teams to deliver high-quality software.
Syracuse University – College of Engineering & Computer Science
Master of Science · Computer Science
August 1, 2024 – June 30, 2025
Visvesvaraya Technological University – RNS Institute of Technology
Bachelor of Engineering · Electronics and Communication
August 1, 2017 – June 30, 2021
iConsult Collaborative at Syracuse University
Software Quality Engineer
October 1, 2025 – Present
Syracuse, New York, United States
Advanced Micro Devices (AMD)
Software Quality Engineer Co-op
September 1, 2025 – December 1, 2025
Houston, Texas, United States
Moolya Software Testing Pvt. Ltd.
Software QA Analyst
July 1, 2021 – November 1, 2023
Bengaluru, Karnataka, India
Automated Traffic Signal Control
June 28, 2026 – Present
Created emergency-vehicle prioritization via real-time lane analysis using YOLO to optimize signal timing decisions.
Recipe Recommendation System
June 28, 2026 – Present
Built a recommender using TF-IDF, SMOTE, and Random Forest; enhanced results using LLM integration via GPT-4 API
Cultural Fit Analysis
The candidate's experience spans different company types (consulting, large enterprise, specialized testing firm) and includes academic projects, indicating adaptability to various work environments. The projects, though academic, show an interest in advanced technologies like AI/ML, which aligns with a forward-thinking culture. The mentorship experience and collaboration with cross-functional teams suggest a team-oriented approach. The breadth of skills and tools used (Python, JavaScript, SQL, various testing frameworks, data tools) indicates a willingness to learn and apply diverse technologies.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their detailed descriptions of improving defect resolution, reducing rework, and enhancing reporting efficiency. Their experience in mentoring junior QA engineers also points to leadership potential and a collaborative mindset. The candidate's project descriptions, while academic, show an ability to apply advanced concepts and integrate new technologies, suggesting adaptability and a proactive approach to problem-solving.