Hi, I'm Suryakala 👋

I am a Computer Science graduate with experience in full-stack development and cloud computing. I built an Employee Management Application using Angular and .NET, and a Movie Listing Website deployed on AWS ECS. Skilled in Python, C++, JavaScript, and AWS, I enjoy solving technical challenges and hold certifications in AWS Cloud and Python.

To Contact:

My Resume

Work Experience:

Full-stack Developer Intern | Tezo | Jan 2024 - July 2024:

Designed and developed both the frontend and backend of an Employee Management Application using HTML, CSS, JavaScript, TypeScript, C#, .NET, APIs, and Angular. Built full CRUD functionality for managing employee data, which improved operational efficiency by 30%. Implemented role-based access control and JWT-based authentication and authorization, enhancing security and streamlining user management. Collaborated with cross-functional teams to deliver a scalable and user-friendly application, boosting overall employee data management effectiveness by 25%.
AWS Devops Intern | Technical Hub | July - Nov 2022 & May - July 2023:

Gained hands-on experience with AWS Cloud, leveraging various AWS services to build scalable cloud solutions. Developed a Movie Listing Website using NodeJS, MongoDB, and ReactJS, leading to a 20% improvement in platform performance and scalability. Integrated AWS S3 for optimized media storage, and deployed the platform on AWS ECS, ensuring 99.9% uptime and seamless scaling for high traffic loads. Certificate.

Skills & Proficiencies:

Programming Languages:

Python, C, C++, C#, HTML, CSS, JavaScript, SQL
Technologies

AWS Cloud, Angular, .NET, MongoDB, Docker, Data Structures & Algorithms

Education:

Bachelor's degree in Computer Science Engineering:

Graduated in 2024 with a Bachelor's degree in Computer Science and Engineering from Aditya College of Engineering & Technology.

Projects:

Employee Management Application:

Engineered a comprehensive platform for managing employee data and roles, featuring full CRUD functionality. Streamlined role-based access control and integrated JWT-based authentication, improving platform security and user management. Enhanced overall operational efficiency by 30%, reducing manual management time and improving data accuracy.

AI-Enhanced Surveillance:

GitHub

Automating surveillance, the Face Recognition System scans live camera feeds for specific individuals via facial recognition. It detects faces, alerts upon matches in its database, streamlining surveillance.

Automated Attendance System:

GitHub

Developed a real-time attendance system using a laser scanner, improving data accuracy and reducing manual processing effort by 40%. Deployed the system in Docker on Linux for better scalability and reduced system downtime.

Movie Listing Website:

GitHub

Developed a dynamic movie listing platform using NodeJS, MongoDB, and ReactJS, improving content management speed by 20%. Integrated AWS S3 for media storage and AWS ECS for deployment, ensuring 99.9% uptime and scalable performance.