Sagar Joshi

• Operate and maintain machinery following established procedures, ensuring adherence to production schedules for timely completion.
• Assemble and inspect products to meet high-quality standards, collaborating with team members to achieve production targets.
• Follow safety guidelines for a clean and organized work environment, promptly reporting equipment malfunctions or safety concerns to the supervisor.
• Participate in training programs to enhance skills and knowledge, contributing to continuous improvement initiatives.
• Adhere to production schedules, prioritize tasks for efficiency, and actively engage in 5S principles for workplace organization, alongside embracing the 1S2Y philosophy for continuous improvement.

• Skillfully create personalized sandwiches and salads based on customer preferences.
• Quickly and accurately slice, chop, and prepare fresh ingredients for optimal efficiency.
• Provide outstanding customer service, accommodating individual preferences with a friendly demeanor.
• Maintain high standards of cleanliness and sanitation, ensuring a safe and hygienic work environment.
• Execute end-of-shift tasks, including cash register reconciliation and inventory counting, to facilitate smooth transitions between shifts.

• Developed APIs in Python Flask as a part of the middleware team.
• Collaborated closely with Business Analysts, Backend Developers, and Frontend Developers to ensure seamless integration of the APIs.
• Created functional user stories and maintained the JIRA user stories board during daily scrum calls.
• Conducted unit testing and used Postman and Swagger for API testing.
• Maintained individual ownership and took personal responsibility for work.
• Designed and implemented software features based on functional specifications.
• Debugged issues and defects using appropriate tools and techniques.
• Contributed to code integration using Git by utilization of CI/CD techniques.
• Wrote unit test cases to ensure timely delivery of the application.
• Participated in all aspects of the software development lifecycle, from requirements capture to implementation.

• Designed and developed full-stack web applications using the MEAN stack (MongoDB, Express.js, AngularJS, and Node.js), resulting in an intuitive and responsive user interface.
• Developed interactive and dynamic visualizations using Python Dash Plotly, enabling users to gain valuable insights from complex data sets.
• Leveraged AWS services, including Cognito for user authentication and authorization, S3 for file storage, and EC2 for virtual machine deployment, to build scalable and resilient cloud-based applications.
• Designed and implemented database architectures using MongoDB and Amazon RDS, ensuring data integrity, security, and performance.
• Collaborated with cross-functional teams, including product managers, designers, and QA engineers, to develop and refine software requirements and user stories.
• Employed agile methodologies, including Scrum and Kanban, to manage project workflows and prioritize features based on business value and customer needs.
• Participated in code reviews and contributed to the development of best practices for code quality and maintainability.
• Conducted performance testing and optimization to ensure fast page load times and minimal latency, resulting in a seamless user experience.
• Demonstrated proficiency in algorithm design and implementation, including sorting algorithms, search algorithms, and graph algorithms, to solve complex software challenges.

• Developed and implemented ML models with Python libraries for image classification.
• Conducted EDA on image datasets, identifying patterns and insights using statistical and visualization tools.
• Assisted with image annotation and labeling tasks to prepare datasets for ML models.
• Contributed to the development of image recognition models, including CNNs and RNNs.
• Collaborated with data science team to evaluate model performance and refine architectures.
• Utilized Git for version control and team collaboration.
• Documented project progress and results, sharing findings with stakeholders.
• Contributed to team efforts to develop best practices for data management and model training.