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Click here or scroll down to respond to this candidateCandidate's Name
Tempe, AZ, Street Address PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedInPROFESSIONAL SUMMARYAn Experienced Software Engineer with over 2.5+ years of expertise in full-stack development, backend optimization, and security enhancements. Proven track record of improving system efficiency, scalability, and compliance in high-demand environments. Proficient in a variety of programming languages and technologies, with strong capabilities in cloud deployments and automated testing. Committed to leveraging technical expertise to deliver innovative solutions that enhance user engagement and operational performance. EDUCATIONArizona State University Tempe, AZMaster of Science in Computer Software Engineering (GPA:4.0/4.0) August 2022 - May 2024 National Institute of Technology, Arunachal Pradesh, India Bachelor of Technology in Computer Science and Engineering (GPA:8.79/10) August 2018 - May 2022 TECHNICAL SKILLSLanguages: Python, C, C++, Java, HTML5, CSS3, XML, JavaScript, TypeScript, Frameworks & Libraries: Spring Boot, Django, Ruby, Angular, React.js, Node.js, Express.js Databases & Servers: SQL, Oracle, SQL Server, MS-Access, MongoDB, Apache Hadoop, Apache Tomcat Tools & Platforms: Eclipse IDE, Android Studio, Docker, Tableau, CI/CD, DevOps, Jenkins, Ansible, Kubernetes Cloud, OS & Others: AWS, Azure, Windows, Mac OS, Linux, Git, GitHub, GitLab WORK EXPERIENCETungsten Automation Irvine, CASoftware Engineer React.js, Node.js, MongoDB, AWS, Jenkins, Docker August 2023 - Present Developed a full-stack MERN application for health records automation, achieving a 60% increase in user engagement through responsive design and enhancing the user experience for over 3,000 healthcare professionals. Built and optimized RESTful API endpoints for enhanced integration between the document management system and various enterprise applications, leading to a 35% improvement in data retrieval speed. Implemented advanced security measures, including OAuth and JWT, achieving GDPR compliance and reducing compliance incidents by over 50%. Deployed application to AWS and leveraged AWS Elastic Load Balancing (ELB) to enhance scalability, successfully doubling concurrent user capacity and boosting data throughput by 30%. Integrated automated testing with Jest and Selenium to cut production bugs by 25% and maintained 99.99% system uptime through diligent CI/CD pipeline management using Jenkins and Docker. Sigma Infosolutions IndiaSoftware Engineer Django, Python, SQL, API, React.js, Next.js September 2020 - May 2022 Developed a web-based shopping platform using React.js and Django, focusing on location-based discounts. Enhanced user engagement through social media integrations with Passport.js, achieving a 30% increase in user base over 6 months. Constructed a customer support chatbot with Rasa, incorporating real-time Python actions for a 40% quicker response time, and lightening human agent workload by 25%. Implemented microservices that optimized back-end processing speeds by 25% and improved scalability, supporting a user base growth of over 100,000 through diligent profiling and debugging of individual services. Designed and executed a quarterly Shareback Process using Python and SQL, significantly reducing manual labor by 200 hours per quarter and enhancing financial accuracy. Created an interactive dashboard using Next.js and Node.js, integrated with SQL databases for real-time tracking of AWS usage and cost management. Enhanced operational efficiency by implementing RESTful APIs for dynamic alerting systems. PROJECTSEditRox Node.js, Express.js, WebRTC, SQS Developed EditRox, a browser-based pair coding platform offering end-to-end encrypted, WebRTC-supported HD video calls, real- time code collaboration, and integrated compiling. It supports multiple languages and themes. Elastic Image Recognition Service Python, AWS EC2, S3, SQS Built an auto-scalable image recognition service that can handle up to 10,000 concurrent requests utilizing AWS cloud resources. The application uses EC2 instances at the web and app tiers and AWS cloud watch as the load balancer. Implemented using Python boto3 library and installed dependencies on the cloud instances using Docker container. Game Night Recommender Django, React, API Created a web app using React.js and Django, offering personalized game recommendations and real-time online status detection for over 1,000 users. Integrated PostgreSQL and Discord/Steam APIs for robust data management and accurate recommendations. |
