Software QA Engineer - Manual & Automation Testing

MOHAMMED HUZAIF IQBAL

Software Testing Engineer QA Engineer 2026 Graduate

+91-740**-***** • *****************@*****.*** • Bangalore, Karnataka linkedin.com/in/mohammed-huzaif-iqbal-6a7856283 • github.com/mohammedhuzaif17 PROFESSIONAL SUMMARY

Detail-oriented Software Testing / QA Engineer with hands-on experience in manual testing, automation testing, API testing, and database validation across web applications. Skilled in test planning, test case design, defect tracking, and end-to-end functional and regression testing within Agile/Scrum environments. Delivered two live client and internship projects, built an award-winning IoT system, and holds certifications in Software Testing, DBMS, and Full-Stack Development. Passionate about ensuring software quality through structured testing processes and clear, actionable defect reporting.

TECHNICAL SKILLS

Languages: Python, SQL

Testing: Manual Testing, Functional Testing, Non-Functional Testing, API Testing, Database Testing, Automation Testing Automation: Selenium WebDriver, Basic Automation Framework Tools: Jira, Postman, Git, GitHub, Jenkins, VS Code Methodologies: SDLC, STLC, Agile, Scrum

Data Analysis: Pandas, NumPy, Matplotlib, Seaborn, Power BI, Excel, Statistics Databases: MySQL

Web & Backend: Flask, HTML5, CSS3

EDUCATION

B.E. — Computer Science & Engineering (Data Science) 2022 – 2026 KNS Institute of Technology, Bangalore • CGPA: 8.20 Relevant Coursework: Web Technologies, Statistics for Data Science EXPERIENCE

Python Full-Stack Developer Intern Oct 2025 – May 2026 QSpiders Training Institute • Bangalore

● Engineered 10+ responsive web pages using HTML, CSS, and JavaScript — elevating UI consistency and user experience across all modules.

● Architected Flask backend routing with 15+ dynamic endpoints, implementing robust form validation and server-side logic.

● Designed and optimised PostgreSQL schemas with full CRUD operations across 4 modules, ensuring data integrity and query performance.

● Delivered data extraction and summarisation pipelines using Pandas and NumPy, turning raw application data into actionable insights.

Web Developer — Client Project (Live Business Website) Feb 2025 – Aug 2025 National Scaffolding

● Sole developer who designed, built, and deployed a production-grade business website using Flask — from zero to live.

● Delivered all client-specified features on schedule: dynamic product pages, enquiry forms, and admin data views.

● Crafted PostgreSQL database schema from scratch — handling schema design, query optimisation, and reliable business record retrieval.

● Generated business data summaries and SQL-powered reports using Python, directly supporting client decision-making.

PROJECTS

E-Commerce Website Testing

Manual Testing • Jira • Postman • SQL • RTM • Bug Reporting

● Performed end-to-end manual testing for an e-commerce web application covering Login, Signup, Search, Add to Cart, Checkout, Payment, and Order Management.

● Created test plans and designed comprehensive test scenarios and test cases; executed functional and regression testing.

● Reported and tracked defects using Jira; prepared bug reports and test summary reports. API Testing Framework

Postman • REST API • JSON • HTTP Methods

● Tested REST APIs for Login, Registration, Product Search, and Order Management using Postman.

● Executed GET, POST, PUT, and DELETE requests; validated JSON responses and verified HTTP status codes.

● Performed positive and negative API testing to ensure robust endpoint behaviour. Web Automation Testing

Python • Selenium • Automation Testing

● Automated regression test cases for a web application using Selenium WebDriver with Python.

● Automated Login and Signup test cases; implemented the Page Object Model (POM) for maintainable test scripts.

● Executed regression test suites and generated test execution reports. IoT-Based Anesthesia & Real-Time Health Monitoring System Python • ESP32 • Scikit-learn • XAI

● Built a real-time patient vitals monitoring system (SpO2, temperature, heart rate) with <1-second data latency.

● Processed and visualised live sensor streams; applied statistical analysis to detect anomalies in patient vitals.

● Leveraged Explainable AI (XAI) to make ML predictions transparent and interpretable for clinical staff.

● Awarded Best Final Year Project at KNS Institute of Technology — ranked #1 among 40+ competing teams (2025). Credit Card Fraud Detection System

Python • Scikit-learn • Pandas • NumPy • Matplotlib • Seaborn

● Developed and fine-tuned a supervised ML classification model achieving 95%+ accuracy on a highly imbalanced fraud dataset.

● Conducted extensive EDA and feature engineering to improve model inputs and surface meaningful data patterns.

● Validated model robustness with cross-validation, precision, recall, and F1-score — ensuring production readiness. CERTIFICATIONS

● Full Stack Developer Certificate — QSpiders Training Institute (May 2026)

● Software Testing Certificate — QSpiders Training Institute (May 2026)

● GenAI Data Analytics Job Simulation Certificate (2025) ACHIEVEMENTS

● Best Final Year Project Award — KNS Institute of Technology (2025)

● Hackathon Participation: AI & ML, Software Testing, MERN Full-Stack STRENGTHS

Analytical Thinking — Breaks down complex datasets and business problems into clear, actionable insights. Quick Learner — Rapidly upskilled in Flask, Power BI, and ML within a single academic year. Communication — Translates technical findings into clear reports and presentations for non-technical stakeholders. Problem Solving — Delivers robust, measurable solutions under real client constraints and tight deadlines. Team Collaboration — Thrives in Agile/Scrum environments with consistent sprint delivery and peer collaboration. LANGUAGES

English (Professional Working) • Hindi (Native) • Kannada (Basic)

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