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mrithip/README.md

Hi, Iโ€™m Mrithip ๐Ÿ‘‹

Iโ€™m a QA Automation Engineer and SDET with a strong background in software development and robotics. I specialize in building robust test automation frameworks, ensuring software reliability, and testing complex intelligent systems (including AI/CV and hardware integration). I thrive on breaking code to make it better and combining automation with analytics to optimize software quality.


๐Ÿ› ๏ธ Core Skills (QA & Testing Focused)

Test Automation & Frameworks: PyTest, Playwright, Selenium, Robot Framework, Postman (API Testing)
Programming & Scripting: Python, C++, JavaScript, Bash, PHP
DevOps, CI/CD & Environments: Docker, Git, GitHub Actions, Linux, CMake, qmake
Databases & Querying: MySQL, MongoDB, SQLite, SQL (Data validation & integrity testing)
System & Integration Testing: ROS/ROS2, Simulation testing (Gazebo/RViz), Hardware-in-the-Loop (HIL) concepts
AI & Vision Testing: Testing Computer Vision models (OpenCV), OCR validation, LLM output evaluation
Data-Driven Quality: Exploratory Data Analysis (EDA), Bug metrics & reporting, Power BI, Excel


๐Ÿš€ Featured Projects

  • Description: Developed a real-time control and visualization interface for TurtleBot3, serving as a functional test bench for robotic telemetry.
  • QA Impact: Implemented end-to-end (E2E) integration testing for hardware-software communication, ensuring low-latency data visualization and reliable command execution.

Mobile Robot SLAM & Sensor Validation

  • Description: Built a 3-wheeled autonomous mobile robot utilizing depth cameras and LiDAR for SLAM mapping.
  • QA Impact: Designed and executed test cases for sensor calibration, boundary validation, and edge-case handling in unpredictable environments.

6-DOF Robot Motion Simulation & Verification

  • Description: Simulated a 6-DOF robotic arm using URDF and MoveIt2.
  • QA Impact: Focused on motion planning verification, collision detection testing, and stress-testing trajectory execution algorithms under simulated constraints.

AI/CV System Validation Suites

  • Description: Developed benchmarking and validation methods for Face Recognition, Object Detection, and License Plate Readers.
  • QA Impact: Created automated test scripts to measure accuracy, false-positive/negative rates, and processing latency under diverse lighting and resolution conditions.

๐Ÿ“Š Analytics & Methodology

I leverage my data analytics background (SQL, EDA, Power BI) to track bug trends, analyze test execution logs, and generate data-driven quality reports that help development teams patch vulnerabilities faster.


๐Ÿค Connect with Me

LinkedIn | Portfolio

Pinned Loading

  1. local-llm-desktop local-llm-desktop Public

    A fully local desktop AI assistant built in C++ with wxWidgets, powered by llama.cpp and running offline.

    C++

  2. blockchain-bus-pass-generator blockchain-bus-pass-generator Public

    A Centralized blockchain-based bus pass management system that securely issues, verifies, and tracks digital bus passes. It ensures tamper-proof verification and transparent transactions for users โ€ฆ

    JavaScript

  3. turtlebot3_gui turtlebot3_gui Public

    ROS2 GUI application for TurtleBot3 control with real-time visualization, velocity graphs, and trajectory mapping using PyQt5 interfaces.

    Python

  4. prescription-analysis-ai prescription-analysis-ai Public

    MedScan AI is a Flask-based web application that uses OCR and AI to analyze prescription images and provide clinical insights.

    Python