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Click here or scroll down to respond to this candidateCandidate's Name
+1 (Street Address ) 209-2608 EMAIL AVAILABLE Charlotte, NC LINKEDIN LINK AVAILABLE https://github.com/JoshiSuyash08 EDUCATIONCharlotte, NCPune, IndiaUniversity of North Carolina at CharlotteMaster of Science in Information Technology GPA: 3.9 SAVITRIBAI PHULE PUNE UNIVERSITYBachelor of Engineering in Information Technology GPA:3.14 SKILLSTechnical/Programming Skills: Java, C++, Python, Data Structures and Algorithms Web and Frameworks: JavaScript, React, Spring Boot Cloud : AWS (EC2, ECS, VPC, S3, RDS, Lambda, CloudFront, CloudFormation, IAM, AWS CLI), GCP Other: Docker, Operating Systems, TensorFlow, Linux(Kali, CentOS), CI/CD, NoSQL, SDLC CERTIFICATIONSGraduate Teaching Assistant, UNCC College of Computing and Informatics; Charlotte, USA Jan 2024 to May 2024 Led instructional labs for System Design and Implementation, enhancing student expertise in Java and C#; achieved an average project grade improvement of 18% and reduced support requests by 25%. Conducted in-depth lab sessions on OOP principles, analyzed and graded over 100 student projects, leading to a 30% increase in students' practical system design/ modeling proficiency as evidenced by final project scores. Facilitated in course development and offered personalized feedback, aiming to bolster educational outcomes in software design. Software Developer, InventOnUs Tech Pvt Ltd.; Pune, India Apr 2022 to Nov 2022 Developed and deployed a web application to automate GDPR compliance and auditing processes using AWS services, achieving a 95% automation rate and reducing manual workload by 50%. Architected and optimized a cloud-based solution using Amazon S3 for hosting the Angular, NodeJS frontend and Amazon CloudFront for global content distribution, improving load times by 40%. Implemented backend services with Spring Boot hosted on AWS Lambda and Amazon API Gateway, enhancing scalability and reducing server maintenance costs by 30%. Configured Amazon RDS and Amazon DocumentDB for data storage, improving data processing speeds by 30% and ensuring 99.9% availability. Integrated AWS Security Hub and Amazon GuardDuty for centralized security monitoring and continuous threat detection, reducing security audit times by 50% and increasing security event detection by 20%. Automated ETL operations with AWS Glue and data analysis using Amazon Athena, streamlining compliance data processing and reducing processing times by 25%. Provided over 45 optimized cloud solutions to improve system performance, security, and cost-efficiency, resulting in a 25% reduction in operational costs and a 20% increase in overall system efficiency through collaboration with cross-functional teams. PROJECTSAttendance System with Face Recognition Aug 2023 to Dec 2023 Created an automated real-time attendance system with facial recognition, achieving a 95% accuracy rate in attendee identification and reducing manual attendance tracking efforts. Coded Python, OpenCV, TensorFlow, and Insightface for the design and implementation of facial recognition algorithms, enhancing image processing speeds by 20%. Integrated Redis for efficient management of attendance data, ensuring quick retrieval times and scalability to accommodate high-demand periods. Designed a user-friendly interface with Streamlit, which streamlined faculty's ability to monitor and manage class participation. A Web-Based Coffee Shop Management Solution Aug 2023 to Dec 2023 Engineered and deployed a scalable web application on AWS, integrating EC2, S3, and RDS to achieve a robust cloud infrastructure, resulting in a 99.9% uptime and securing user data across multiple endpoints. Achieved an resilient AWS system architecture, focusing on cost-efficient strategies that leveraged EC2, S3, and RDS to support over 10,000 monthly user requests with minimal downtime. Demonstrated cloud solution expertise in a capstone project by architecting a secure and scalable AWS infrastructure, enhancing operational efficiency and data integrity for an application with a growing user base. Network based game trading application Jan 2023 to May 2023 Engineered a web application for game trading using EJS, JavaScript, and CSS, creating a structured interface that managed 900+ simulated transactions in a controlled educational setting, improving user interaction by 40% Created a fully functional game trading prototype by aligning front-end and server-side technologies; acclaimed by 90% of reviewers for its streamlined user experience and 30% faster transaction processing. Cloud: AWS Academy Graduate - AWS Academy Cloud Architecting, AWS S3 Basics by Coursera Cyber Security: Ethical Hacking training by InternShala EXPERIENCE |
