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Associate Software Engineer with 2+ years in Software QA and Accessibility Testing
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Associate Software Engineer with 2.5 years of experience in manual software testing across various operating systems, including Android, iOS, macOS, and Windows. Highly skilled in Accessibility Testing for Web and Mobile (NVDA), Functional & Non-Functional Testing, Regression, and Smoke Testing. Possesses strong understanding of SDLC and STLC, with practical knowledge of QA methodologies. Proven ability as a results-oriented team player focused on quality and integrity, with additional experience in web development and machine learning projects.
Jawaharlal Nehru Technological University
Bachelor · Computer Science
August 1, 2019 – June 30, 2023
Sri Chaitanya Junior College
Intermediate · MPC
June 1, 2017 – May 31, 2019
Sri Chaitanya Children's Acedemy
SSC
June 1, 2016 – May 31, 2017
Tech Mahindra
Associate Software Engineer
July 1, 2024 – Present
Ahmedabad, Gujarat, India
[24]/7.ai
Digital Interactive Advisor
October 1, 2023 – December 1, 2023
Bengaluru, Karnataka, India
Let's Grow More
Web Developer Intern
November 1, 2022 – December 1, 2022
Bengaluru, Karnataka, India
WCAG (Web Content Accessibility Guidelines)
June 1, 2026 – Present
Assistive technology compatibility (screen readers like Talkback, Voiceover, NVDA & keyboard navigation) Accessibility Testing for Meta Products -Conducted thorough accessibility testing for Meta products, ensuring compliance with WCAG 2.1/2.2 guidelines and Section 508 standards. Identified and reported accessibility issues, providing recommendations for remediation. Key Achievements: -Accessibility Audits: Performed manual and automated accessibility testing using tools like MVAR-WCAG Compliance: Ensured Meta products meet WCAG 2.1/2.2 AA level standards, enhancing digital accessibility for users with disabilities. Collaboration: Worked closely with development teams to implement accessibility fixes and improvements. Assistive Technology Testing: Tested products with assistive technologies like NVDA, VoiceOver, and TalkBack. Skills Utilized: - WCAG 2.1/2.2 guidelines - Accessibility testing tool MVAR (Minimum viable accessibility review)
Accessibility Testing with META
June 1, 2026 – Present
Conducted accessibility testing with TalkBack, VoiceOver, and NVDA to ensure that applications were accessible to users with visual impairments. Identified and reported accessibility issues related to screen reader compatibility. Tested applications for WCAG 2.1 compliance and ensured that they met accessibility standards. Collaborated with development teams to implement inclusive design principles and ensure that applications were accessible to users with disabilities. Utilized screen readers and keyboard navigation to test application accessibility. Analyzed color contrast and ensured that applications met accessibility standards for color vision deficiency. Used accessibility testing tools such as Meta.ai and anyware client to identify and fix accessibility issues.
Air Quality Prediction
June 1, 2026 – Present
Air pollution refers to the release of pollutants into the air that are determined to human health and the planet as a whole. It is dangerous for human health and should be decreased faster in urban and rural areas, so it is necessary to predict the quality of air accurately. There are various causes of air pollution. Outdoor air pollution caused by industries, factories, vehicles and Indoor air pollution is caused if air inside the house is contaminated by smokes, smell, chemicals. Primary pollutants include CO2, NH3, SO2, CO, NO2, PM2.5, PM10, lead and mercury etc. Secondary pollutants include Ground level ozone, Acid rain. To prevent this problem, it is necessary to predict air.
Internet of things
NPTEL - IIT Kharagpur
June 1, 2026 – Present
Data Mining
NPTEL - IIT Kharagpur
June 1, 2026 – Present
Communication Skills
Tata Consultancy Services (TCS)
June 1, 2026 – Present
Data Science workshop using python.
IIT Tirupati
June 1, 2026 – Present
Web Development Internship
Let's Grow More - Bengaluru, Karnataka
June 1, 2026 – Present
Trusted Tester
U.S. Department of Homeland Security
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity includes accessibility testing and an academic project on air quality prediction using Python and Machine Learning. While these show a breadth of interest, they do not directly align with the 'Robotics Software Engineer' target role. The primary professional experience is in QA and accessibility, which is a different domain from robotics. The certifications in IoT and Data Mining show an interest in relevant areas, but practical application in a robotics context is missing. The candidate's academic background is strong, but the professional experience does not yet demonstrate a direct cultural or technical fit for a robotics-focused software engineering position.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as being a team player, quick adapter, open to communication, and having good analytical and problem-solving skills, as stated in their experience description. Their involvement in accessibility testing projects suggests an operational fit for roles requiring meticulous attention to detail and user-centric design principles. However, the current experience is heavily skewed towards QA and accessibility testing, which is not a direct match for a 'Robotics Software Engineer' role.