
Shashwat dodamani
@shashwatdodamani
I build AI-driven computer vision systems and reliable automated tests.
What I'm looking for
I've built AI-driven computer vision systems that analyze surveillance footage, recognize activities, and generate concise video summaries.
My query-driven intelligent surveillance project uses YOLOv8, Python, OpenCV, and Flask for object queries, anomalous activity detection, real-time event identification, and result visualization. This work was published on IEEE Xplore (Paper ID: 11656399).
I also developed a real-time object detection and recognition system using OpenCV and deep learning models, optimizing its pipeline to achieve over 90% accuracy across varied environments.
As a QA Engineering Intern at Cognizant, I developed and maintained Java-based Selenium WebDriver automation using Cucumber and TestNG, while executing functional, smoke, and regression testing in an Agile team.
Experience
Work history, roles, and key accomplishments
Gained hands-on experience in manual and automation testing using Selenium WebDriver with Java and the BDD Cucumber framework. Developed and maintained automated test scripts, executed functional, smoke, and regression testing, and collaborated with the QA team in an Agile environment.
Education
Degrees, certifications, and relevant coursework
Dayananda Sagar University
Bachelor of Technology, Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Grade: 9.12 GPA
Pursuing a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, maintaining a GPA of 9.12.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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