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dwadasijanaki@gmail.com

NAGA JANAKI DWADASI <BR>Fremont, CA | XXXX@XXXX.XXX | ((XXX) XXX-XXXX) <BR>linkedin.com/in/naga-janaki-dwadasi/ | https://github.com/NagaJanakiDwadasi Education: <BR>MS Computer Engineering at San Jose State University, San Jose, CA (GPA: 3.9/4.0) <BR>Jan 2019 to Dec 2020(exp) <BR>BTech Electrical and Electronics Engineering at JNTU(Kakinada) Aug 2008 to Apr 2012 <BR>Related Coursework: Data Structures and Algorithms, Enterprise Distributed Systems, Enterprise Software Platforms, Large-<BR>Scale Analytics, Machine Learning, Data Mining, System Software and Computer Architecture. Technical skills: <BR>• Programming Languages <BR>Java7, Python, JavaScript ES6 <BR>• Web Technologies HTML5, Spring MVC, Spring Boot, SOAP & RESTful web services, React, Nodejs <BR>• Unit Testing Junit, Mockito, Power Mockito, Mocha JS, Enzyme <BR>• Databases/ORMs & MQs <BR>Oracle, MySQL, MongoDB, Hibernate ORM, Sequelize, Mybatis, Kafka, WMQ <BR>• Build & Deploy Maven, Jenkins, GIT, PCF, AWS cloud, Docker containers <BR>• Machine Learning Algorithms Regression, Classification, Clustering, Association Analysis, Neural Networks, NLP <BR>• Machine Learning Libraries <BR>Pandas, NumPy, Scikit Learn, NLTK, TensorFlow, Keras, SciPy Work Experience: <BR>Software Engineering Intern (Sureify Labs, Inc.) Jun 2020 to present <BR>• Developing a question builder feature that reduces the overhead of underwriting model. <BR>• Designed rich UI pages using react-bootstrap, css and state management using React hooks. <BR>• Developed REST API in Golang, built test cases for the same and deployed using docker containers. <BR>Research Assistant (San Jose State University) Dec 2019 to Feb 2020 <BR>• Analyzed ECG based biometric authentication by modeling signal data and utilizing machine learning algorithms. <BR>• Techniques include Dynamic Time Warping, Wavelet Transform, Pan Tompkins, Nonlinear PCA, and One-class SVM. <BR>Analyst – System Dev (Verizon Data Services India Pvt Ltd.) Mar 2016 to Nov 2017 • Developed Micro Services using Java, Restful web services, Mybatis and Spring Boot framework. <BR>• Designed web flows in Bonita Soft and integrated with services through groovy scripts. <BR>• Strengthened code quality by writing unit test cases using Junit, Mockito, Power Mockito and SonarQube. <BR>• Practiced Agile methodology and synthesized builds to deploy on the cloud using Jenkins for CI/CD. <BR>Software Engineer (Accenture Services Pvt Ltd.) May 2012 to Feb 2016 <BR>• Integrated enterprise applications to support more than 30 external interfaces using Java, XML, WMQ, and JCAPS. <BR>• Developed web applications for File Upload, Registration & Login Manager interface for Retail Online Banking. <BR>• Arbitrated customers promptly with technical issues in business banking application and boosted customer satisfaction. Accomplishments: <BR>• Improved efficiency, readability, and maintainability of code by refactoring 3000 lines of code to 800 lines. <BR>• Delivered bug free code by executing test cases using Junit, Mockito and ensured code quality by utilizing SonarQube. Coursework Projects: <BR>San Jose State University Jan 2019 to May 2020 <BR>Amazon Simulation: GitHub <BR>• Created a replica of Amazon with Customer, Seller and Admin profiles using MERN stack in distributed architecture. <BR>• Security is ensured through JWT and Passport.js for authentication and improved performance using Redis cache. <BR>• Hosted on AWS cloud EC2 with load balancer and auto scaling for high availability, scalability, and fault tolerance. <BR>Student Job Portal (HandShake replica): Demo GitHub <BR>• Developed a web application for students to explore career opportunities and connect with employers. <BR>• User interface is built in React, messages are processed through Kafka, Node.js and persisted to MongoDB. <BR>• Application is deployed using Docker containers and hosted on AWS cloud. <BR>Research Paper Recommendation System: Demo GitHub <BR>• Coordinated the design and architecture of a hybrid model for recommendation engine. <BR>• Developed models for Content-based approach and Collaborative Filtering approach in Python.

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