| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
New York, NY PHONE NUMBER AVAILABLE EMAIL AVAILABLE GitHub LinkedIn PortfolioEDUCATIONNew York University New York, NYMaster of Science, Computer Engineering Aug 2021 May 2023 Courses: Data structures and algorithms, Databases, Network Security, Big Data, Machine Learning, Internet Architecture Protocol SRM Institute of Science and Technology Chennai, India Bachelor of Technology, Computer Science and Engineering Jul 2016 May 2020 Courses: Discrete Mathematics, PHP, Operating Systems, Object Oriented, Algorithm Design and Analysis TECHNICAL SKILLSLanguages: JavaScript, Python, Java, C, C++, C#, HTML5, CSS, Go, TypeScript, MySQL, PHP Frameworks: React.JS, Express.JS, Angular 8+, Spring Boot, Node.JS, MongoDB, Docker, Bootstrap, jQuery, Flask, REST API Cloud and Technologies: AWS, Kubernetes, PostgreSQL, Azure Cloud, Linux Others: Git, Scrum, CI/CD, Agile Methodology, Microservices, Numpy, Pandas, Matplotlib, Selenium, Postman, DevOps, JIRA, Jenkins EXPERIENCECivic Tech Structure, Inc Los Angeles, USASoftware Engineer (Python, Java, React, SQL) Jul 2023 Present Developed front-end web application using React.js to create dynamic, user-friendly interfaces, enhancing the overall experience. Designed and build scalable server-side applications and integrated REST APIs for seamless front-end and back-end connectivity Engaged with fellow contributors to introduce new features, resolved bugs, and enhanced open-source civic tech projects. Metamorphosis Hyderabad, IndiaSoftware Engineer (SQL, WordPress, APIs) Jan 2020 Jul 2021 Developed and maintained custom WordPress websites, utilizing SQL, queries for seamless data management and retrieval. Streamlined the development process for a new feature by improving the front-end build system, resulting in a 40% reduction in the time required for code changes to go from development to production. Reduced the page load time of a web application by optimizing images and minifying code, resulting in a 25% improvement in page load speed and a 20% increase in user engagement.SoftLogic Systems Chennai, IndiaFull Stack Developer Intern (RESTful API, Express.JS, Node.JS) Jul 2018 Oct 2018 Developed a RESTful API using Node.js and Express.js to handle user authentication, booking requests, and payment processing. Increased the loading speed of web pages by 30% through implementing optimization techniques such as lazy loading and image compression, resulting in a significant improvement in user experience and engagement metrics. Designed and implemented MongoDB databases to store user accounts and booking information, optimizing data models for efficient querying and retrieval.Infogro Technologies Chennai, IndiaSoftware Engineering Intern (Agile Scrum, CI/CD, Software Development) Jun 2018 Jul 2018 Proficiently developed, tested, debugged, and documented 10+ software applications. Integral part of an Agile Scrum team, contributing to a culture of 100% continuous improvement and deployment (CI/CD). PROJECTSYelp Recommendation System (Apache Spark, MongoDB, Machine Learning) Nov 2022 Dec 2022 Project objective: Extract insights from the Yelp open dataset, focusing on restaurant evaluations to determine whether food quality or service has a greater influence on user attraction and satisfaction. Technology used: Led the development of a big data project employing Apache Spark and MongoDB to construct a restaurant recommendation system for Yelp. Achievements: Significantly enhanced recommendation accuracy (by 25%) by fine-tuning machine learning models and incorporating user location and restaurant attributes into the system. Flight Insurance Management System (ReactJS, Databases, Express.JS, Node.JS) Nov 2021 Dec 2021 Project Description: Developed a user-friendly Insurance Management Website enabling flight booking, modification, cancellation, and purchase of flight insurance. Data Handling and Storage: Collected and stored customer data in databases, with a primary focus on scalability and data retrieval using SQL commands. Website and Database Collaboration: Contributed to front-end design with a five-page website and assisted in SQL database management, ensuring seamless user experience and data accessibility. Detection of Phishing Attacks (Machine Learning, Random Forest, Natural Language Processing) Nov 2019 Dec 2019 Project Focus: Implemented security protocols for detecting malicious websites and pinpointing server locations. Machine Learning Integration: Utilized Random Forest, a supervised machine learning algorithm, to classify URLs, resulting in a decreased false positive rate and improved accuracy in identifying phishing websites. Enhanced Security: Achieved more reliable and precise detection of malicious websites through these measures. |
