Internship
Fireflink
Bangalore
09.2025 - Current
- Learned fundamentals of AI-driven automation for web application testing.
- Participated in tool demonstrations and performed basic automated test executions.
- AI-Based Automation Tool
Namith Gowda
Bangalore,KA
Summary
Detail-oriented engineering student with strong skills in software testing, development, and programming. Proven ability to create innovative solutions and enhance user experiences through technology. Committed to continuous learning and effective collaboration in team projects within dynamic environments.
Work History
Software Testing Trainee
QSpiders
Bangalore
06.2025 - Current
- Gained hands-on experience in Manual Testing and Automation Testing using Selenium WebDriver.
- Practiced writing test cases, functional and integration testing, identifying/reporting defects, and working in Agile methodology.
Hackathon Participation
- Collaborated with peers to design and develop solutions under time-bound conditions, improving problem-solving and teamwork skills.
Education
Bachelor of Engineering - Information Science
BGS Institute of Technology
Mandya06.2025
Pre-University - PCMB
Jawahar Navodaya Vidyalaya
Mysuru, IndiaSSLC - 10th
Jawahar Navodaya Vidyalaya
Mysuru, IndiaSkills
- Python and Java
- SQL and MySQL
- HTML5 and web development
- Software testing and automation
- Selenium
- Microsoft Office proficiency
- Leadership and team coordination
- Event management skills
- Public speaking and presentation
- Time management strategies
Languages
- English (Professional)
- Hindi (Professional)
- Kannada (Native)
Projects
ShoppersStack - e-commerce web application, HTML5, CSS3, JavaScript, React.js, Node.js, MySQL
built and tested an online shopping platform with product catalog, cart, order tracking, and payment gateway features Performed integration testing to ensure smooth frontend-backend interaction and optimized SQL queries for performance. Worked in an Agile team environment using Java, Selenium, TestNG, and MySQL.
AI therapist using NLP, HTML5, CSS3, JavaScript, Python, Flask, and MySQL developed a system to analyze facial expressions in real time using computer vision Predicted emotional states and provided tailored suggestions using Natural Language Processing (NLP). The system enhances user engagement through seamless, AI-driven therapy guidance. Achieved 95% accuracy in facial emotion recognition during testing with 1,000+ sample interactions. Reduced chatbot response time to under 2 seconds through performance optimization. Successfully processed 100+ concurrent user sessions without service degradation.
Certifications And Achievements
- Software Testing Trainee - QSpiders (Manual & Automation testing, Selenium)
- National level Intercollegiate Project Exhibition-2025
- Represented school at Regional level Football, NVS Hyderabad Region
Timeline
Internship
Fireflink
09.2025 - Current
Software Testing Trainee
QSpiders
06.2025 - Current
Hackathon Participation
Bachelor of Engineering - Information Science
BGS Institute of Technology
Pre-University - PCMB
Jawahar Navodaya Vidyalaya
SSLC - 10th
Jawahar Navodaya Vidyalaya