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Software Engineer with 5+ years in Full-Stack, Quality Engineering & AI-Augmented Development
Software Engineer with 4.5+ years of experience spanning full-stack development and quality engineering in the banking and financial services domain at Wells Fargo. Having knowledge in building production-grade Spring Boot, microservices, React.js frontends, Redis — alongside deep expertise in Selenium, Playwright, Cucumber BDD, TestNG, and JMeter automation frameworks. Actively leverages AI tools to accelerate engineering workflows: generating and reviewing Playwright test scripts, performing AI-assisted source code analysis, and crafting structured prompts for development and QA tasks. Delivers end-to-end ownership from feature development through automated testing and release validation, with a strong focus on building reliable, testable, and production-ready systems in Agile environments.
College of Engineering Guindy (CEG), Anna University, Chennai
B.E. · Computer Science and Engineering
August 1, 2017 – June 30, 2021
Wells Fargo
Software Engineer (SDE + SDET)
July 1, 2021 – Present
Chennai, Tamil Nadu, India
Visa Inc
Software Development Engineer Intern
May 1, 2020 – July 31, 2020
India
CEG, Anna University, Chennai
Summer Intern
April 1, 2019 – May 31, 2019
Chennai, Tamil Nadu, India
Gesture Recognition System
June 19, 2026 – Present
Deep learning model using depth and skeletal data for real-time gesture recognition.
Attendance Management Plugin
January 1, 2020 – Present
Chrome plugin to track attendance in virtual meetings based on session duration.
Student-Staff Assignment System
January 1, 2019 – March 31, 2019
End-to-end web application for assignment sharing between students and faculty.
Microsoft Azure Fundamentals (AZ-900)
Microsoft
July 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience in a large enterprise (Wells Fargo) and an international team (Visa internship) suggests adaptability to diverse work cultures. Their involvement in hackathons and academic projects, alongside professional work, indicates a proactive and continuous learning mindset. The blend of development, testing, and AI-augmented engineering skills shows a broad interest and ability to contribute across different facets of a technical team.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring skills, as evidenced by their role in guiding junior engineers and conducting code reviews. Their experience in Agile environments, end-to-end ownership, and focus on reliable, testable systems indicates a good operational fit. The use of AI tools for productivity suggests an innovative and efficient work attitude.