| | | 20,000+ Fresh Resumes Monthly | |
|
|
| | Related Resumes React, Angular, Node, Front-end developer Germantown, MD React Js Node Springfield, VA React Reston, VA React Developer Columbia, MD React Js .Net Core Vienna, VA React Js Stack Developer Bowie, MD Stack Developer React Js Baltimore, MD |
|
Click here or scroll down to respond to this candidateCandidate's Name
Baltimore, MD EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE EDUCATIONAL QUALIFICATIONSUniversity of Maryland, Baltimore County(UMBC), Baltimore, MD (May Street Address ) MS - Computer ScienceSRM Institute of Science and Technology, Kattankulathur, India (May Street Address ) B.Tech - Computer Science EngineeringTECHNICAL SKILLSProgramming Languages: Ruby, JavaScript, TypeScript, Python, Java, PHP, C, C++, HTML5, CSS3, SQL, JSON, XML Frameworks and Libraries: Ruby on Rails, React.js, Node.js, Express.js, Vue.js, RSpec, GraphQL, Flask, TensorFlow, PyTorch Databases: MySQL, PostgreSQL, Oracle DB, MongoDB, Redis, Elasticsearch Tools and Platforms: AWS, Google Cloud Vision API, Docker, Azure, Kafka, Git, Magento, Linux, CI/CD, Sidekiq, JIRA WORK EXPERIENCEClean Origin (E-commerce), USA - Software Engineer (May 2023 - December 2023) Developed a user engagement feature, using React.js, Node.js, and Express.js, implementing a button-triggered popup that presented diamond attribute related questions such as shape, cut, color, clarity, and more. Utilized user responses to generate algorithm-driven diamond recommendations, achieving a 30% boost in conversion rate. Enhanced customer satisfaction, saved time, and delivered valuable personalized suggestions. Developed a content moderation feature, using React.js, Node.js, Express.js, and Google Cloud Vision API for seamless user uploads of product photos and videos, ensuring adherence to guidelines and filtering out inappropriate content. Achieved a 40% reduction in manual checks for customer executives, enhancing operational efficiency. This feature served as a promotional strategy, contributing to a notable 25% boost in the order rate and improved user engagement. CaratLane (E-commerce), India - Software Development Engineer - II (June 2019 - July 2022) Conceptualized and constructed a responsive and interactive product information web page using Vue.js and Ruby, featuring robust Q&A functionality allowing users to search, add questions, rate content, and apply filters to sort. 35% conversion rate increased through this project, elevated accessibility to detailed product information, resolved key challenges faced by the sales team, and elevated customer interactions. Built the Ruby on Rails module which facilitates the seamless requesting and tracking of more than 100 barcode transfers simultaneously, providing comprehensive historical data and real-time status updates on the website. Achieved a 25% cost reduction by eliminating reliance on third-party tools for in-house management. Improved operational efficiency, optimized internal processes, and ensured efficient delivery of end-to-end barcode transfers. Optimized CaratLane store sales iOS app functionality by 25% by developing several REST APIs using Grape-Swagger in Ruby on Rails. Resolved 15+ user-related issues and bugs to enhance system speed, and efficiency, and reduce downtime. Led and supervised the ITR team of software developers to ensure seamless communication and knowledge transfer. Collaborated with cross-functional teams using AGILE/SCRUM methodologies to architect, develop, unit test, and deliver scalable, high-quality software solutions. Implemented a Kafka-based asynchronous job processing system for enhancing system responsiveness and performance. Utilized microservices architecture and Docker containers to enhance scalability, reliability, and deployment efficiency. CaratLane, India - Data Warehouse Engineer (March 2019 - April 2019) Leveraged DBeaver and Domo to analyze extensive customer datasets, generating strategic reports that enhanced data readability for cross-functional teams and guided informed business decisions. CaratLane, India - Backend-Developer (January 2019 - March 2019) Built a "Pick-up-from-store" feature in Ruby on Rails, enhancing customer convenience. This led to a 30% boost in customer satisfaction and a 20% improvement in order fulfillment efficiency. PROJECTS EXPERIENCE Predictive Model for Skin Disorders: Developed a machine learning model in Python using KNN, Naive Bayes, Logistic Regression, and Decision Tree algorithms, achieving 98.6% accuracy in diagnosis and treatment recommendations. AI Chatbot for UberSupport: Created a chatbot in Python using the Seq2Seq model and NLP, achieving 92% accuracy in resolving customer concerns for Uber and Uber Eats. |
