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Candidate's Name
Software EngineerFairfax, Virginia EMAIL AVAILABLE (Street Address ) 415-8048 https://LINKEDIN LINK AVAILABLE EDUCATIONMaster of Science in Computer Science Dec Street Address
George Mason University, Fairfax, Virginia GPA: 3.Street Address  Bachelor of Technology in Computer Science and Engineering Oct 2021 Jawaharlal Nehru Technological University Hyderabad, India GPA: 8.42 RELEVANT COURSEWORKAnalysis of Algorithms, Component Based Software Development, Database Systems, Software Architecture and Design, Software Engineering for the World Wide Web TECHNICAL SKILLSPERSONAL PROJECTSFrequent Flier Android Mobile Application: Utilized object-oriented design principles to conceptualize and execute a database for the Frequent Flyer program, including ER modeling, schema mapping, and SQL queries. Developed Java Servlets and JSPs for server-side components and a Java application for testing SQL queries, ensuring ease of maintenance. Built and deployed an Android client application, culminating in a comprehensive video demonstration. Survey Form Full Stack Web Application: Led the full-stack application development, leveraging Amazon RDS, JPA, Spring Boot, and ReactJS to architect and deploy a distributed system capable of handling scalable and efficient survey form operations. Designed a user-friendly UI with ReactJS components for survey form submission and viewing. Orchestrated Docker containerization and Kubernetes deployment, ensuring scalability and efficiency, with comprehensive unit testing to maintain code quality. Movie Review Application: Directed the full-stack web application development of a multi-tiered system with Java Spring Boot, React, and MongoDB in an Agile environment, covering database setup, REST API creation, and front-end integration. Architected key features like movie storage, review association, and Axios-driven HTTP request handling, contributing to the development of high-quality software and enhancing user engagement. EXPERIENCEIntern, IETE-Mumbai May 2020 - Aug 2020 Engineered real-world facial recognition and fire detection systems using OpenCV, achieving 90% accuracy for facial recognition and 85% for fire detection. Employed Fisher Face Recognition algorithm and cascade classifiers, reducing fire detection false positives by 20%. Leveraged machine learning to analyze breast cancer diagnosis and car resale value data, creating logistic regression models with over 85% accuracy. Proficient in handling ambiguous problems, applying innovative approaches to derive insights from complex datasets. Contributed to driver safety by implementing a drowsiness detection system using deep learning techniques, achieving over 70% accuracy.COURSES/CERTIFICATIONS Udemy: Spring Boot 3, Spring 6 & Hibernate for Beginners Career Essentials in Generative AI by Microsoft and LinkedIn Programming languages C, C++, Java (Object Oriented Programming), Python, Node.JS Web development HTML, CSS, JavaScript, ReactJSFrameworks/Libraries Spring Boot, Spring Core, Spring MVC, Spring Data JPA, Spring AOP, Spring Security Databases MySQL (RDBMS), Oracle DB, MongoDB, SQLCloud and Infrastructure Amazon Web Services (AWS), Docker, Rancher, Kubernetes Version Control /Automation Git, GitHub, Jenkins NPTEL: Python for Data Science  Udemy: Data Structures and Algorithms, Deep Dive Using Java