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Vendra Sekar

Open to work2 years experience

SDET Engineer

Mumbai, MaharashtraTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

SDET engineer with 1.8+ years of experience in automation, API testing, and backend validation.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

32 skills
javapythonhtmlcssjavascriptangularjsreactjsvitenode.jsexpressjsrest apisselenium webdrivertestngmavenpomregression testingfunctional testingapi testingpostmanswaggermysqlmongodbfirebasepostgresqlandroid developmentflutternlpgitdockerazure devopsfigmaadobe xd

Work Experience

Validation Engineer I

Medpace

Aug 2024 - Present Navi Mumbai
  • Worked on automation of end-to-end lifecycle workflows using Selenium (Java), TestNG, and POM.
  • Developed and maintained automation scripts for regression and functional testing.
  • Refactored existing automation code to improve framework reusability.
  • Validated APIs using Swagger and Postman and utilized SQL queries for data verification.
  • Verified user permissions and restricted access flows for different application roles.
  • Worked with Azure DevOps for test planning, defect tracking, CI/CD release coordination, and collaboration with teams.
  • Prepared traceability matrices, execution reports and maintained project documentations.

Projects

TextFeed - Full-Stack Web Application

View Project
ReactViteChakra UINode.jsExpressMongoDBMongooseFirebase Authentication
  • Developed a social platform enabling users to create posts, add comments, and perform real-time searches with query-based filtering.
  • Implemented secure user authentication via Firebase Authentication with Google login integration.
  • Created responsive frontend using React, Vite, and Chakra UI.
  • Built scalable backend RESTful APIs with Node.js and Express to handle posts, comments and search operations.
  • Managed data persistence using MongoDB and Mongoose for efficient storage of posts and comments.
  • Enabled seamless client-server communication with Axios for asynchronous API requests.

DeceptiScan: Comparative Analysis of Deepfake Detection Models

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XceptionResNet50Swin TransformerCNNMobileNet
  • Conducted comparative analysis and performance optimization on 5+ ML models (Xception, ResNet50, Swin Transformer, CNN, MobileNet).
  • Evaluated models using accuracy, precision, recall, and F1 score.
  • Published research paper at IEEE I2CT Conference 2024.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Conference Paper Publication

Published research paper 'Comparative Analysis of Deepfake Detection Models' at IEEE I2CT Conference 2024.

About Details

Professional Bio

SDET engineer with 1.8+ years of experience in automation, API testing, and backend validation using Selenium (Java), TestNG, Postman and SQL. Experienced in supporting multiple production releases, improving test efficiency, and ensuring application reliability.

Bachelors of Engineering in Information Technology in Information Technology

Don Bosco Institute of Technology ( - 2024)

Languages: English, Hindi
Email: Locked