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Software Engineer with 1+ years in QA Automation & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled and results-driven SQA Engineer with 1.5 years of experience in large-scale ERP integration and comprehensive testing solutions. Proficient in developing scalable automation frameworks, API testing pipelines, and leveraging AI/ML tools for optimizing workflows. Experienced in full-stack web application development, cloud environments, and Agile methodologies. Passionate about enhancing software quality and data accuracy.
University of the Punjab (PUCIT)
Bachelor of Software Engineering
August 1, 2021 – June 30, 2025
Folio3
SQA Engineer
February 1, 2025 – Present
India
10Pearls
Software Engineering Intern
December 1, 2024 – February 1, 2025
India
Explainable AI for Retinal Disease Diagnosis
January 1, 2024 – January 1, 2025
Built deep learning system for retinal disease detection using OCT images with Explainable AI (Grad-CAM, saliency maps). Containerized application using Docker for reproducible and scalable deployment. Developed full-stack system using Django and React.js with end-to-end ML pipeline.
Election Management System
January 1, 2024 – January 1, 2024
Built Flask + MongoDB backend with CI/CD pipelines using Jenkins and automated testing via Pytest.
Traffic Sign Detection
January 1, 2023 – January 1, 2023
Developed CNN model achieving high accuracy for 43-class traffic sign classification.
GitHub
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects in AI/ML and full-stack development, combined with professional experience in SQA and software engineering internships, show a diverse skill set and a proactive approach to learning. The involvement in large-scale ERP integration projects and building unified testing solutions suggests an ability to work in complex, enterprise environments. The breadth of technologies used (Python, TypeScript, JavaScript, .NET, React.js, Docker, Kubernetes, various testing frameworks) indicates adaptability and a willingness to explore different tech stacks, which aligns well with dynamic and innovative team cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations (e.g., unified testing solution, ERP integrations). Collaboration with cross-functional teams and client presentations indicate good communication and teamwork abilities. Agile experience suggests adaptability and structured workflow participation. The use of AI tools for workflow optimization points to an innovative and efficiency-driven mindset.