Anitha Vadlamanu

ShopAssist is an innovative approach to the traditional checkout process in retail stores. It is designed to automate and streamline transactions, making the checkout experience quicker, more accurate, and more enjoyable for both customers and staff.

Roles and Responsibilities:
Collected, labeled, and annotated large datasets for machine learning models.
Ensured data quality and consistency by following strict data collection protocols.
Worked closely with data scientists and engineers to understand data requirements and deliver relevant, high-quality datasets.
Utilized tools and software for data extraction, cleaning, preprocessing and annotation.
Conducted data verification and validation to maintain the integrity of training data.
Assisted in the development and implementation of data collection strategies to improve the efficiency and effectiveness of the AI training process.
Integrated tools and techniques using Java and Spring Framework to support backend functionalities and ensure seamless operation of data pipelines.

• Developed strong relationships with students, parents, and colleagues by maintaining open lines of communication and fostering a supportive learning environment.
• Managed classroom behavior effectively by establishing clear expectations, modeling appropriate conduct, and consistently enforcing established rules and consequences.
• Enhanced classroom engagement through the use of interactive teaching methods, such as group projects and hands-on activities.
• Maintained accurate records of student progress, attendance, and behavior to facilitate ongoing communication with parents about their child''s educational journey.

• Self-motivated, with a strong sense of personal responsibility.
• Worked effectively in fast-paced environments.
• Skilled at working independently and collaboratively in a team environment.
• Proven ability to learn quickly and adapt to new situations.