Information Technology North Carolina

Suyash Joshi

+1-945-***-**** ******.*****.*****@*****.*** Charlotte, NC www.linkedin.com/in/suyash-joshi08 https://github.com/JoshiSuyash08 EDUCATION

Charlotte, NC

Pune, India

University of North Carolina at Charlotte

Master of Science in Information Technology GPA: 3.9 SAVITRIBAI PHULE PUNE UNIVERSITY

Bachelor of Engineering in Information Technology GPA:3.14 SKILLS

Technical/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 CERTIFICATIONS

Graduate 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. PROJECTS

Attendance 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

Contact this candidate