• Test Case Design and Execution: Designed comprehensive test cases using Excel and Azure DevOps, and executed them to ensure thorough testing and high-quality software delivery.• Bug Reporting: Identified and documented bugs, utilizing Azure DevOps for tracking and resolution.• Version Control: Utilized Git and GitLab for efficient version control and collaboration.• Automation Tools: Gained experience in automation testing using Selenium IDE and Robot Framework, implementing Page Object Model (POM) and data-driven testing techniques.• API Testing: Conducted API testing using Postman to validate API functionality and performance.• SQL Query for Testing: Wrote and executed SQL queries for backend data validation and integrity checks.• Agile Testing: Participated in an Agile environment, applying Agile testing practices.Project Work: Asset Management Website• Team Collaboration: Worked in a team of 7 (4 developers, 2 manual testers, 1 automation tester) to design and develop an asset management website.• Agile Methodology: Followed Agile practices over 1 month, completing 4 sprints with daily stand-up meetings, sprint retrospectives, and demos at the end of each sprint.• Key Responsibilities:• Designed and executed test cases to ensure functionality and performance.• Reported and tracked bugs using Azure DevOps, ensuring timely resolution and clear communication.• Supported team members in testing activities, fostering collaboration and knowledge sharing.• Facilitated communication between developers and testers to ensure alignment on project goals and testing priorities.• End Sprint Report (4 Sprints):• Summarized progress, achievements, and challenges faced during each sprint.• Detailed outcomes of testing activities, including bug metrics and test coverage.• Project Outcome: • Successfully contributed to developing and testing the asset management website, ensuring high-quality delivery, and meeting project goals within the designated timeframe.

• Developed and implemented an automated control system for hydroponic systems, improving efficiency and productivity by 30%.• Designed and programmed using Arduino and C++ to monitor and control parameters such as nutrient levels, pH balance, temperature, and lighting schedules.• Integrated sensors and actuators to collect real-time data on environmental conditions and automatically adjust settings for optimal plant growth (Automation in dispensing Acid, Base and Nutrient).• Collaborated with a cross-functional team to conduct thorough testing and troubleshooting of the automation system, ensuring its reliability and accuracy.• Presented the project at conferences, showcasing the innovative automation techniques employed in hydroponic systems

• Conducted research on utilizing low-cost data acquisition devices such as Arduino and Raspberry Pi for quality and safety management in the food supply chain.• Implemented wireless communication using Zigbee technology to facilitate seamless data collection between sensors.• Worked closely with the professor to develop an efficient test strategy and address complex challenges in the project.• Explored the use of intelligent packaging to monitor changes in internal and external environments, ensuring optimal food quality and safety.

• Collaborated with the Telemetry Team to gather and display real-time data from devices and sensors, providing crucial information on the vehicle's status to the driver and engineering team.• Worked alongside members from various teams to develop the final solar racing car for the American Solar Challenge competition, contributing to its successful completion.• Programmed and documented work for STM32F7 Microcontrollers, ensuring efficient control and synchronization of vehicle systems.• Played an active role in testing, troubleshooting, and resolving issues related to the microcontrollers and their integration with other vehicle components.

• Collaborated in a team of two to develop a voice-controlled light monitoring system using Google Assistant and IoT technologies.• Utilized C/C++ programming language to program the Arduino circuit and NodeMCU Board (ESP8266 Module Wi-Fi) for seamless communication and control.• Integrated the Google Assistant application with the hardware setup to enable voice commands for monitoring and controlling the lights.• Leveraged Adafruit IO (Cloud Services) to establish a reliable connection between the hardware and the cloud platform, facilitating data monitoring and remote control capabilities.