Hello!

I'm Muralikrishna Bigala



Software QA Engineer

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Name: Muralikrishna Bigala

Job Role: Software Test Engineer

Experience: 3 months

Address: Bengaluru, India

Skills

CORE JAVA 90%
Manual Testing 90%
Web Technologies(HTML5,CSS3,JS) 85%
Bootstrap & Tailwind 75%
SQL 70%
Selenium 70%
API Testing 60%

About

About Me

As a passionate and motivated Software Test Engineer , I hold a bachelor's degree in engineering and possess a solid foundation in web development technologies. My expertise includes Java, front-end technologies like HTML, CSS, JavaScript, along with hands-on experience in building dynamic and user-centric web applications through personal projects.

I am continuously learning new technologies and committed to expanding my skills in both front-end and Software Testing to contribute to dynamic and high-performing development teams.

  • Profile: Software Test Engineer & Quality Assurance Trainee
  • Domain: Software Testing & Web development
  • Education: Bachelor of Engineering (CSE)
  • Language: English, Hindi, Kananda, Telugu
  • Tech-stack Tools: Eclipse IDE, JIRA & POSTMAN API, Visual Studio, SQL Workbench, SimplifyQA, Selenium
  • Other Skills: Cloud, Advance Java, Excel, Github, Bootstrap & Tailwind
  • Interest: Learning New Things & Explore New Things, reading Tech blogs, coding

0 +   Projects completed

LinkedIn

Resume

Resume

An ambitious B.TECH graduate adept at problem-solving, programming, and crafting clean, maintainable code. Experienced in Designing and Building Websites and think new ideas and designing optimal solutions.Aspiring to pursue a career in software engineering, harnessing adiverse skillset.

Experience


2025

Quality Assurance Trainee

nuVIZZ Software Solutions

At Nuvizz, I worked as a Quality Assurance Intern where I was actively involved in end-to-end testing of web and mobile applications.

  • Performed functional, regression, and UI testing on both web and mobile platforms of the nüVizz logistics application.
  • Designed and executed detailed test cases based on user stories, and collaborated with developers and business analysts to ensure product quality.
  • Conducted API testing using Postman and managed bug tracking in JIRA, ensuring timely issue resolution and smooth sprint execution.
  • Identified a critical bug in the mobile app during live delivery testing, preventing major client issues, and contributed to enhancing test coverage and automation readiness.
  • Test in both Website Portal and Mobile Devices like Android & IOS phone
  • Tech-stack :Manual Testing, JIRA, SimplifyQA, POSTMAN API, Excel

2023-2024

Machine Learning

College Project

Machine Learning Based Unsupervised Machine Learning for Managing Safety Accidents in Railway Stations.

  • In this project we mainly see the in many Urban areas, railway stations risk and safety accidents represent an essential safety concern for daily operations.
  • The Project main focus is to gather Data from Railway Station and Local Police Station give to model its predict data and gives Accurate Results by this we can find Accident as taken place by Negligence of Local pilot or System faults.
  • This is about my Project short Details
  • Tech-stack :HTML5, CSS3, JS,Bootstrap,Python, Django, and Algorithms, Visual Studio



Education


2020-2024

Bachelor of Technology in CS

Bheema Institute of Technology and Science

Grade: First class distinction.

2017-2018

Higher Secondary School

Akshara Sree High School

Grade: First class distinction.

Download CV

Projects

Projects

Below are the sample Projects of Manual Testing ,Automation Testing, Web Dev., Java, MySql.

Unsupervised Machine Learning for Managing Safety Accidents in Railway Stations.

The project titled "Unsupervised Machine Learning for Managing Safety Accidents in Railway Stations" involves analyzing accident data collected from railway departments and local police stations, including details like accident type, time, location, environmental factors, and possible causes. After preprocessing the data, unsupervised learning algorithms such as K-Means and DBSCAN were applied to identify hidden patterns and accident-prone zones. Techniques like PCA and t-SNE were used to reduce dimensions and visualize trends more clearly. Additionally, anomaly detection models like Isolation Forest and One-Class SVM helped identify rare or critical incidents caused by system faults or human negligence. Based on the insights, the project proposed preventive measures such as operator training, scheduled maintenance, and infrastructure improvements to enhance overall safety at railway stations.

front-end and Response webpage on React js, javascript

Given basic information of the React js and javascript webpages..

Machine Learning Based Analysis Of CryptocurrencyMarket Financial Risk

The Project I worked as a Software QA Intern, focusing on testing web and mobile applications in the Transportation and Logistics domain. I was involved in testing the nüVizz Driver App, used for real-time delivery tracking and route management, and the Xdock App, designed for warehouse and godown operations. My responsibilities included conducting functional, regression, and UI testing across web, Android, and iOS platforms, as well as performing API testing using Postman to validate backend integrations. I created and executed test cases based on Agile user stories, reported bugs in JIRA, and collaborated closely with the development team to ensure timely fixes. This experience helped me gain hands-on exposure to end-to-end QA processes in a real-world logistics environment.


0 Achievements
0 Projects
0 Intern
0 on going projects

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Bengaluru, India

Contact Number

+ 0 101 0101 101

Email Address

conctact mkrish631@gmail.com

Download Resume

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