Open to opportunities

S S VELAVAN

@ssvelavan

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Entry-level Software Test Engineer focused on manual testing and QA.

Zimbabwe

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What I'm looking for

I’m looking for an entry-level QA/Software Testing role where I can strengthen manual testing fundamentals, design test cases, report bugs clearly, and learn through real projects with supportive mentorship and measurable feedback.

I’m a Software Test Engineer trainee focused on delivering reliable software through structured Manual Testing, including SDLC and STLC, and clear Functional & Non Functional validation. I’m a detail-oriented, proactive learner committed to upskilling and continuous growth in Software Testing.

In my projects, I practiced Test Case Design and Bug Reporting and strengthened regression and functional testing knowledge while working on image captioning with LSTM, evaluating performance with BLEU and METEOR. I’ve also built a billing software (Python, MySQL) and a tourism website integrating HTML/CSS/JavaScript with AI features like OCR, face recognition, and sentiment analysis.

Experience

Work history, roles, and key accomplishments

Current

Software Test Engineer Trainee

Current

QSpiders

Dec 2025 - Present (5 months)

Practiced SDLC/STLC and applied manual testing concepts by designing test cases and reporting bugs for functional and regression scenarios. Built and evaluated an image-captioning pipeline using dataset preprocessing and BLEU/METEOR scoring.

Manual Testing SDLC Functional Testing Regression Testing Testing Design Bug Reporting Python SQL

EDP Intern

Steril-Gene Life Sciences Pvt Ltd

Feb 2025 - Oct 2025 (8 months)

Developed a Python and MySQL billing software for small businesses, supporting streamlined invoicing and payment workflows. Assisted ERP operations, including MIS reporting, IT troubleshooting, and backend updates for data integrity and client management.

Python MySQL ERP Support Client Management Data Integrity Backend Development

AI Intern

Bon Voyage

Feb 2024 - May 2024 (3 months)

Built a dynamic tourism website using HTML, CSS, JavaScript, and SQL, integrating backend features for booking forms and real-time updates. Developed ML models in Python with TensorFlow for image captioning, face recognition, and sentiment analysis, improving accuracy through preprocessing and OCR.

TensorFlow Sentiment Analysis Machine Learning SQL HTML CSS JavaScript