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Click here or scroll down to respond to this candidate Candidate's Name
Tampa, FL | Phone: PHONE NUMBER AVAILABLE | Email: EMAIL AVAILABLE | LinkedIn: LINKEDIN LINK AVAILABLE
Education
Master of Science in Computer Engineering Expected May Street Address
University of South Florida, Tampa, FL
Bachelor of Technology: Electronics and Computer Engineering Jul Street Address
Jawaharlal Nehru Technological University, Kakinada, India
Skills
Core Skills: HTML5, CSS3, LESS, JavaScript, TypeScript, Java, Python, MySQL, Node.JS, Augmented Reality.
Frameworks: Tailwind CSS, jQuery, ReactJS, NextJS, Django, Bootstrap.
Tools and Technologies: Adobe Experience Manager, Adobe XD, Crxde, Figma, Zeplin, Sketch, WordPress, JIRA, Unity.
DevOps and API Tools: Git, GitHub actions, Azure, Docker, Swagger, Postman.
Development Methodologies: Agile (Scrum, Kanban).
Relevant Experience
Software Developer Intern, VARN Technologies Jan 2024 - present
Enhanced web application performance and user experience by 20% through scripting and proposing website
functionality improvements; implemented front-end and back-end solutions. Leveraged Node.js and its libraries to
streamline development and elevate user interaction.
Coordinated with cross-functional teams to integrate REST API endpoints, facilitating seamless data exchange,
and enhancing application functionality.
Ensured software quality and integrity through database design, comprehensive testing of features, and adherence
to source code change management best practices.
Full Stack Developer, Tata Consultancy Services, Hyderabad, India. Aug 2021- Aug 2022
Developed an automobile manufacturer's website using HTML, CSS, JavaScript, and jQuery, resulting in a 25%
increase in user engagement and a 30% reduction in bounce rates.
Collaborated on Java-based back-end solutions, improving website performance, security, and scalability for faster
page loads and better data handling.
Integrated design assets from Figma and Zeplin into development using Adobe Experience Manager (AEM), reducing design
implementation time by 50%.
Employed JUnit within manual testing protocols to validate backend functionality, ensuring data handling
proficiency, performance optimization, and system security for an error-free website experience.
Utilized JIRA for ticketing and project management, ensuring streamlined workflows.
Software Engineer Intern, Pantech ProEd Solutions, Vijayawada, India May 2019-Dec 2019
Spearheaded the development and implementation of a new website design using Adobe XD and Figma, resulting
in a 20% increase in website traffic and a 10% rise in conversion rates.
Worked seamlessly with a dedicated team of developers to fine-tune website performance, resulting in an
impressive 33% increase in website speed and a substantial 15% boost in user satisfaction levels.
Innovatively implemented a revamped user flow and navigation structure, with significant improvements such as
a remarkable 25% reduction in bounce rates and a noteworthy 20% increase in time spent on the website by users.
Key Projects
Augmented Restaurant Menu Application- Augmented Reality
- Lead a team of two and developed an interactive restaurant menu application using Unity with AR functionalities
and 3D models for enhanced user experience.
Image Classification & Feature Prediction- Deep Learning
- Developed a Convolutional Neural Network (CNN) model for image classification with an accuracy of 85%.
- Built a Recurrent Neural Network (RNN) model to predict features from data, enhancing data analysis capabilities.
Face Mask Detection- Python
Managed a team of 4 and developed a real-time face mask detection system using TensorFlow / Keras and trained the
model on labeled datasets and deployed it to ensure adherence to safety protocols in real-world scenario.
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