Research Assistant Development Engineer

Manish Enishetty

864-***-**** ***********@*****.*** GitHub https://www.linkedin.com/in/manish-enishetty TECHINCAL SKILLS

Programming Languages : Java, Python, C, C++, R, Kotlin, C#, GoLang, YANG, shell Frameworks : React Native, Spring Boot, Jupyter Notebook, .Net, Angular JS, Mockito Operating Systems : Windows, Linux, MacOS

Web Technologies : HTML, CSS, JavaScript, Bootstrap, TypeScript Databases : MySQL, Graph QL, MongoDB, AWS Dynamo DB Tools : Wireshark, OWASP, Android Studio, Git, SQL, MySQL, REST, Agile, Jira, Postman, AWS, IntelliJ PROFESSIONAL EXPERIENCE

Amazon, Seattle, Washington

Software Development Engineer July 2022 – March 2023

• Owned high-level technical design for implementation of product price curation for Alexa Shopping customers, based on product type, inventory location, customer’s prime eligibility, order eligibility for promotions on products.

• Rearchitected monolithic shopping service into multiple microservices and optimized time taken to calculate price for Amazon products from a customer request, decreasing onboarding time for partners by 80% (10 days to 2 days).

• Streamlined the development using java concepts namely spring beans, validators, and exception handling to achieve consistent experience to the partners using the service for both head and headless Alexa devices, which in turn decreased latency by 30%.

• Built Unit tests using the Mockito framework and Integration tests in 3 marketplaces including the US, EU, and Asia regions.

• Developed a new voice and graphical prompt on Alexa Devices to allow non-prime customers to learn about the benefits of Prime Membership. This educational implementation led to a 8% monthly increase (+$5M annualized) in Prime Memberships through Alexa.

• Monitored Software Assurance Services, Pipelines, Error rates and effectively reported them in Operational Excellence document leading to a 30% decrease (15 to 10 tickets weekly) in related on-call issues

• Generated monthly technical reports for handling pipeline’s health of 5+ partner teams and shared improvement tactics with Leadership. Clemson University

Research Assistant in Design and Research of In-Vehicle Experiences Lab (DRIVE Lab) May 2021 – May 2022

• Coordinated Application Development in 3 Projects in the DRIVE Lab which are Funded by organizations like The National Highway Traffic Safety Administration (NHTSA), The US Department of Transportation (US DOT).

• Developed Ridesharing Application that enables older adults to book rides in Autonomous ridesharing vehicles. Implemented both Frontend and Backend of the Ridesharing application using React Native framework, AWS Dynamo DB, and Graph QL.

• Programmed the cognitive services using Microsoft Language Understanding (LUIS) and transferred the data obtained from Voice Recognition Module to the Backend database.

• Increased the accuracy of the Human Machine Interaction system to identify the intent and entities of the input text to 98% using Microsoft LUIS.

Accenture Solutions Pvt. Ltd, Hyderabad

Application Development Associate June 2019 – Dec 2020

• Trained in SailPoint IIQ to work for IAM (Identity and Access Management), JAVA EE, Spring Framework, Jenkins, Agile Management.

• Collaborated with a team of developers to design and implement new software solutions using Python and Java.

• Worked with AWS and Azure services to develop and deploy software in a complex, multi-tiered, distributed environment.

• Contributed to the system design and architecture of new and current systems, including designing and implementing design patterns, reliability, and scaling.

• Developed and maintained identity and access management systems, ensuring that access controls were secure and met industry standards.

• Utilized scripting languages such as Perl to automate processes and improve efficiency.

• Created SQL queries and optimized database performance for large-scale, high-performance systems.

• Followed professional software engineering practices and coding standards to ensure high-quality, maintainable code. EDUCATION

Clemson University, USA Jan 2021 – May 2022

• Master of Science in Computer Science

Chaitanya Bharathi Institute of Technology, India July 2015 – April 2019

• Bachelor of Engineering in Information Technology ACADEMIC PROJECTS

Bun-ana Technical Environment: ReactJS, HTML5, CSS3, Responsive design, Git

• Designed and developed a responsive web application called Bun-ana using ReactJS, HTML5, and CSS3, with a focus on UX and functionality.

• Implemented a user authentication system for secure login and access to account information, ensuring the privacy and security of user data.

• Collaborated with a team to prioritize and implement new features based on user feedback, resulting in improved user engagement.

• Maintained code using Git version control, ensuring accurate and efficient collaboration within the team

• Utilized ReactJS libraries and components to create a user-friendly interface for the burger customization process, optimized for different devices.

Ridesharing Application Technical Environment: React Native, Google Maps API, AWS Dynamo DB, AWS Amplify, AWS Auth, Graph QL

• React Native was used in developing this app for iOS and Android mobile environments. Users who have registered can view the nearby cars and choose their preferred vehicle for a shared ride.

• This application will help older adults to book a ride in autonomous ridesharing cars. Users will be registered using AWS Auth into the application. Utilized Google Maps Places API, so the users can select the destination.

• Built a ridesharing application using AWS Amplify, which included developing the frontend using React Native and integrating authentication, APIs, and data storage using Amplify services such as AWS AppSync and Amazon DynamoDB.

• Used AWS Amplify's hosting and deployment services to deploy the application to the cloud and manage the production environment. Successfully delivered the application on time and within budget, resulting in positive user feedback and increased adoption rates ADS-DV-HMI Technical Environment: Microsoft LUIS, C#, Bing Maps API, XAML, WINUI 2.6

• Developed a Human Machine Interaction model using Microsoft Language Understanding Intelligence Service (LUIS) and C#, integrating Bing Maps API for location-based queries.

• Built the front-end user interface using XAML and WINUI 2.6, delivering a seamless user experience. Successfully deployed the application on time and within budget, resulting in positive feedback from users and increased engagement

• Responsible for developing and designing REST API and leading the project in migration from MVVM architecture to MVC architecture.

• This application increases the accessibility of physically disabled persons using advanced features like Voice Recognition. Video Caption Generation Technical Environment: TensorFlow, PyTorch, Python3

• Developed and implemented video caption generation using deep learning frameworks TensorFlow and PyTorch, with programming language Python3.

• Utilized state-of-the-art models and techniques to generate accurate and meaningful captions for video content, resulting in improved accessibility and user engagement.

• Worked with large datasets and optimized training processes for maximum efficiency and performance. Continuously researched and incorporated new developments in the field, ensuring that the project remained up-to-date and innovative Weather App Technical Environment: Java, Android Studio, xml, OpenWeatherAPI

• Developed and designed a weather app using Java and Android Studio, with user interface developed in XML. Integrated OpenWeatherAPI to provide accurate and up-to-date weather information to users.

• Designed the app with a user-friendly interface and intuitive navigation, utilized best practices in app development, including optimization for performance and usability.

JOURNAL PAPERS

• Co-authored paper on Neural based visual processing system for automatic detection and recognition of road signs from live video feeds.

• Co-authored paper on Collaborative filtering algorithm over e-commerce website based on user interest published in International Journal of Innovative Research in Science, Engineering and Technology

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