● Mastered AWS: Completed a comprehensive training program on AWS with hands-on
experience in core services (EC2, S3, RDS). Achieved the AWS Certified Solutions Architect
Associate certification, demonstrating expertise in designing distributed AWS systems.
● Real-World Application: Applied AWS knowledge to solve practical problems, ensuring
effective implementation of solutions.
● Collaborative Learning: Thrived in collaborative learning environments, enhancing problemsolving skills and knowledge sharing within the team.
● Communication and Growth: Developed strong documentation and reporting skills for clear
communication. Embraces continuous learning and practical application of knowledge.
Project LMS (Learning Management System):
● Utilized Learning Management Systems (LMS): Successfully implemented an LMS platform to streamline online learning processes at Pi-Square Tech.
● Content Management: Managed and organized all learning materials within the LMS, ensuring easy access and a cohesive learning experience for students.
● Progress Tracking: Implemented tools within the LMS to effectively track student progress and identify areas for improvement.
● Tailored Learning: Utilized the LMS functionalities to customize learning experiences based on individual student needs, fostering a more effective and engaging learning environment.
Project Three-Tier Project on AWS:
● Designed and deployed fault-tolerant three-tier architecture on AWS, leveraging EC2, RDS,
and Elastic Load Balancer to ensure scalability and high availability.
● Implemented robustsecurity measures, including VPC, Security Groups, and IAM roles,
ensuring the protection of sensitive data.
● Utilized auto scaling capabilities to efficiently handle varying traffic loads and optimize
resource utilization, resulting in enhanced performance.
Project Hospital Management Application (JAVA):
● Led a cross-functional team in designing and developing a comprehensive and user-friendly
hospital management application in Java.
● Streamlined patient record management, appointmentscheduling, and medical history
tracking, optimizing operational efficiency and improving patient care.
Project Flower Classification Using Transfer Learning in Machine Learning:
● Leveraged transferlearning techniques to develop a state-of-the-artflower classification
model using machine learning.
● Achieved exceptional accuracy in classifying differenttypes of flowers, enabling advanced
image recognition capabilities and paving the way for broader applications.
