Vishnu Varshith R

About

Computer Science graduate with hands-on experience across software testing, quality assurance, and application development. Experienced in Python, Java, SQL, Selenium, Postman, and JMeter, with exposure to SDLC/STLC, database validation, API testing, and ML-related quality review.

Experience

• Quality Assurance Analyst
  Human Archive
  Jul 2026 – Sep 2026

  Performed quality assurance review of video annotation datasets, verifying frame-level accuracy and consistency of hand-tracking annotations against project labeling guidelines. Reviewed annotated video sequences to identify mislabeled, missing, or inconsistent hand-tracking keypoints, flagging errors and driving corrections to maintain dataset quality standards. Collaborated with annotation teams to reinforce adherence to annotation guidelines, improving inter-annotator consistency and overall dataset accuracy for downstream ML training. Tracked and reported QA review outcomes and recurring annotation error patterns to support continuous improvement of the annotation pipeline.

• Software Testing Intern
  G10X
  Dec 2025 – May 2026

  Designed and executed comprehensive test scenarios, test cases, and test data based on business requirements and acceptance criteria, applying QA methodologies across SDLC/STLC processes to ensure full requirement coverage across functional, regression, smoke, and UAT cycles. Identified, documented, prioritized, and tracked software defects using JIRA, collaborating with cross-functional development teams to troubleshoot root causes and drive timely resolution before release deadlines. Conducted database testing using SQL queries (CRUD operations, joins, aggregations) to validate backend data integrity across relational tables, ensuring consistency between UI outputs and database records. Executed API testing for RESTful endpoints using Postman, validating request/response structures, status codes, authentication flows, and business logic to ensure end-to-end API reliability. Automated regression test scenarios using Selenium WebDriver with Python, reducing manual regression execution time and improving test repeatability across releases. Conducted performance and load testing using JMeter by simulating multi-user traffic scenarios, evaluating application responsiveness, stability, and scalability to identify bottlenecks and ensure optimal user experience under peak loads.

Education

• 2025 TT
  Bachelor of Engineering

  Dr. T. Thimmaiah Institute of Technology

  Computer Science · 2025

  Computer Science
• 2021 BM
  Pre-University

  Sri Bhagwan Mahaveer Jain College

  2021
• 2019 NH
  Secondary School

  Nizamia High School

  2019

Skills

Tools / apps / platforms

Languages

Projects

• Indian Railway Management System
  SQL

  Designed and developed a normalized 3NF relational schema with ACID-compliant transaction logic and backend validation to support concurrent bookings.

• Breast Cancer Detection using Machine Learning
  Python, SVM, Random Forest, PCA

  Developed classifiers in Python with PCA-based feature selection, building the model training and evaluation pipeline on a dataset of 800 samples.

• Fake Profile Detection on Social Networks
  Python, Logistic Regression, Random Forest, Docker

  Designed and developed an ML ensemble, engineering the data preprocessing and feature pipeline, containerizing the solution with Docker, and validating it on 100+ social network profiles.

Courses & certifications

• Innovation & Entrepreneurship Program · Livewire
• Embedded Systems Internship · Microchip Technology
• AWS Cloud Virtual Internship · AWS Academy
• Machine Learning Workshop · BMS College of Engineering (evaluation metrics & data validation in ML workflows)
• Software Development & Testing Course · Rooman Technologies (E-Commerce Domain)
• Software Testing Certification · Manual Testing, Selenium (Python), Mobile Application Testing