Jan 2025 – Jul 2025 · 6 mos · New Jersey, United States · Remote

Jan 2024 – Jan 2025 · 1 yr · New Jersey, United States · Remote

Jun 2022 – Aug 2023 · 1 yr 2 mos

• Collaborate with cross-functional teams to develop and maintain Zmanda's data backup and recovery software products using Flask, Django, Angular, and React
• Design and develop new features, ensuring they are secure, scalable, and performant
• Maintain and optimize existing code to improve overall system performance
• Participate in code reviews to ensure high-quality code and adherence to coding standards
• Work with QA team to ensure that all products meet our high standards for quality
• Utilize agile development methodologies to ensure timely delivery of new features and bug fixes
• Stay up-to-date with the latest trends and technologies in software development
• Mentor junior developers and provide technical guidance as needed

Jan 2022 – Jun 2022 · 5 mos

• Worked with a team of developers to design and develop web applications using Java Play Framework
• Participated in agile development methodologies, including daily standups, sprint planning, and retrospectives
• Collaborated with designers to implement user-friendly interfaces
• Utilized Git for version control and collaborated with team members on GitHub
• Conducted code reviews and contributed to the development of high-quality code
• Implemented new features and maintained existing code, ensuring they were secure, scalable, and performant
• Worked with QA team to ensure that all products met high standards for quality
• Gained experience with software development best practices and learned new technologies and frameworks

Jan 2020 – Feb 2020 · 1 mo · Bengaluru, Karnataka, India · Remote

• Worked with a team of data scientists and developers to design and implement machine learning models using Python and various libraries such as TensorFlow, Keras, and Scikit-learn
• Conducted data analysis and pre-processing, including cleaning, feature engineering, and data augmentation
• Participated in agile development methodologies, including daily standups, sprint planning, and retrospectives
• Contributed to the development of high-quality code and conducted code reviews
• Developed an understanding of different machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and neural networks
• Collaborated with designers to implement user-friendly interfaces for machine learning models
• Worked with cloud platforms such as AWS and GCP to deploy machine learning models
• Gained experience in data visualization and communicating results to both technical and non-technical stakeholders
• Contributed to open-source machine learning projects and conducted independent research on machine learning techniques