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Software Engineer Resume Jersey city, NJ
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Title Software Engineer
Target Location US-NJ-Jersey City
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Candidate's Name
Jersey City, NJ Street Address  EMAIL AVAILABLE PHONE NUMBER AVAILABLE LinkedIn GitHubEDUCATIONPace University, New York, NY - Master of Science (MS) in Computer Science - GPA: 3.Street Address  Sept 2022  May 2024Andhra University, India - Bachelor of Technology (B.Tech) in Computer Science - GPA: 7.Street Address  Aug 2016  May 2020TECHNICAL SKILLSProgramming Languages: C, C++, Python, Java Web Development: HTML, CSS, JavaScript, React, Ionic Database Management: MySQL, Oracle Software Methodologies: Agile, Scrum, Retrospective, User stories, Personas, XP Programming Tools: Jira, GitHub, FigmaEXPERIENCESoftware Analyst Intern S Linx LLC  Leander, Texas August 2024  September 2024Collaborated with senior developers to analyze system requirements and translate them into technical specifications, improving the clarity and quality of requirements, which reduced ambiguity and ensured smoother project execution.Led code reviews, recommending enhancements in logic and efficiency, which elevated code quality by 20% and reduced future maintenance efforts.Executed unit testing by designing and implementing test cases for new Java code, detecting 15 bugs and strengthening the reliability of the software product.Authored comprehensive technical documentation, which accelerated onboarding for new interns and developers, boosting productivity and adaptation to the codebase.Software Engineer (Capstone Project) Pace University  New York City January 2024  May 2024Led an 8-member team using Agile Scrum, completing the project ahead of schedule with 100% task completion and boosting productivity by 20%.Built an MVP using C and Python on Linux, improving data handling efficiency by 25% and scaling for large datasets.Developed an image recognition system with CNNs, boosting data retrieval speed by 40% and cutting manual effort by 50%.Led a recipe-sharing platform project using Agile and Jira, reducing development time by 15%.Software Engineer MGS Technologies  Hyderabad, India June 2020  August 2022Optimized the 'Chain Creator' platform by refactoring C code, improving load times by 30% and enhancing scalability for large datasets, increasing user retention by 15%.Engineered and launched a React dashboard for real-time site oversight, enhancing user experience by 20% and streamlining cross-team collaboration for quicker issue resolution.Implemented data structures to optimize database queries, reducing response times by 25% and improving overall system performance.PUBLICATIONSAutomatic Vehicle Speed Control 2020Published a research paper on an IoT-based vehicle speed control system, designed to regulate speed in critical areas like hospitals and schools.Designed and implemented a system using zone-specific encoders and in-car decoders, with a microcontroller automatically regulating vehicle speed upon entering designated areas.ACADEMIC PROJECTSNeighborSnoop September 2023  December 2023Crafted an intuitive Figma prototype for NeighborSnoop, optimizing the interface for performance and scalability, delivering real-time insights on neighborhood crimes.Built and refined a user-friendly interface through Agile methodology, streamlining the tracking of local incidents and alerts, and elevating user engagement by 20%.Incorporated visual elements for ease of navigation, enabling users to quickly access crime data, reducing search time by 30%, and enhancing user experience.PaceFinity January 2023  May 2023Architected and built a fiscal management app using C and Python, empowering students to track expenses and manage scholarships, boosting financial literacy by 15%.Integrated aid calculators and scholarship search tools, enhancing performance and scalability, and reducing financial stress for users by 25%.Collaborated with a team of 3 developers using Agile methodology, conducting research and testing, leading to a 30% increase in user engagement and usability improvements.Auto Moderator January 2020  May 2020Deployed encoders in specific zones that emitted unique codes, detected by vehicle decoders, triggering the microcontroller to automatically reduce speed.Reduced speeding incidents by 30%, with the project receiving praise for the potential to improve urban traffic safety and management.

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