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QA Automation Engineer with less than a year in AI, Data Science & Full-Stack Development.
Artificial Intelligence & Data Science graduate with strong fundamentals in Machine Learning, Data Analysis, and Software Testing principles. Hands-on experience in Full-Stack Web Development (MERN Stack) and developing scalable web applications. Completed a one-month Full-Stack Development Internship with real-world project exposure and collaborative development experience. Strong analytical thinking, problem-solving, and quick learning abilities with a keen interest in test automation and quality assurance. Passionate about leveraging AI and automation to enhance software quality, improve test coverage, and build reliable intelligent systems. Effective communicator with the ability to collaborate with product and development teams to deliver high-quality SaaS solutions.
Sethu Institute of Technology
B.Tech · AI & DS
August 1, 2022 – June 30, 2026
Seventh Day Adventist Matric Hr. Sec. School, Madurai
12th
June 1, 2020 – May 31, 2022
Seventh Day Adventist Matric Hr. Sec. School, Madurai
10th
June 1, 2018 – May 31, 2020
Novi Tech R&D
Full-Stack Development Intern
May 1, 2026 – June 1, 2026
India
AI-Based Credit Card Fraud Detection System
January 1, 2026 – June 1, 2026
Developed a machine learning model to detect fraudulent transactions. Implemented email-based user confirmation for suspicious activities. Used Python, ML algorithms, and Web technologies for deployment.
Full-Stack Web Applications
January 1, 2025 – June 1, 2026
Built complete MERN-based applications with authentication. Designed responsive UI and backend APIs.
Guardian AI - Accident Detection System (Final Year Project)
January 1, 2025 – June 1, 2026
Designed an AI-powered system to detect road accidents using computer vision. Implemented real-time video analysis to identify crashes and trigger alerts instantly. Integrated emergency response features including location tracking and nearest hospital detection. Developed a full-stack application with FastAPI backend and interactive frontend interface. Focused on improving road safety through automated and intelligent accident monitoring.
Machine Learning for Algorithmic Trading Bots with Python
Infosys
January 1, 2024 – Present
Google Analytics Certification
January 1, 2024 – January 1, 2025
Introduction to Deep Learning
Infosys Springboard
January 1, 2024 – Present
Computer Vision
Infosys Springboard
January 1, 2024 – Present
Project on IBM Watson: IT Support Agent Creation
Infosys
January 1, 2024 – Present
Project on Grafana: Dashboard Creation
Infosys
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in AI & DS, coupled with projects in AI-based fraud detection and accident detection, shows a strong interest and alignment with innovative, AI-driven solutions. Their stated passion for enhancing software quality through AI and automation aligns well with a forward-thinking, quality-focused engineering culture. The diversity of projects (full-stack, AI/ML, computer vision) and certifications indicates a broad technical curiosity and adaptability, which are positive indicators for cultural fit in a dynamic environment. The target role of 'QA Automation Engineer' is well-supported by their 'Areas of Expertise' including 'AI-Driven Automation' and 'Software Testing Fundamentals'.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and quick learning abilities. Their passion for leveraging AI and automation to enhance software quality indicates a proactive and innovative mindset. Effective communication skills are highlighted, which are essential for collaborating with cross-functional teams in a QA role. The candidate's involvement in technical project exhibitions and self-learning certifications suggests a driven and continuous improvement-oriented individual.