Vaibhav Sharma Email and Phone Number

• Completed a wide range of technical tasks at AiBorne Tech, including developing custom scripts and consistently adding new features to the product, contributing to its overall improvement and making users more satisfied.• Successfully reduced total AWS cost by approximately 30% by designing and developing a dynamic website utilizing Django, Python-Multithreading, Celery, and Boto3. The website enabled automated instance start/stop (EC2) capabilities, resulting in optimized resource utilization and cost savings.• Engineered a centralized monitoring system that seamlessly aggregates logs from multiple servers and displays them on a single, user-friendly website. Additionally, I created a robust Python script that periodically gathers machine logs and transmits them to the central server, ensuring real-time visibility and providing an efficient means of managing and monitoring the system.• Successfully managed the complete survey panel dashboard by implementing custom cache policies, resulting in a faster and smoother user experience with improved filtering.• Configured and optimized the Redis Cache service to ensure persistence, allowing for seamless deployment without causing disruptions to users.• Achieved significant optimization in production code by implementing various strategies, one of which was reducing the size of SOP image thumbnails by approximately 60%.• Improved system reliability by creating effective test cases (Unit Testing) and conducting comprehensive testing procedures.• Making comprehensive API Documentation using Swagger 3

• Part Of Executive Council for the tenure 2022-23• Responsible for the overall development of chapter programs.

• Heading the Cyber-Security Team of 30+ students.• Conducting Monthly Workshops under Cyber Jagrukta Abhiyan• Organized HACHE Online CTF with participation of 300+ Students - Website https://github.com/vaaibhavsharma/quizApplication

• Part of Web-Development and Cyber Security Team• 1st Runner up in Hache 1.0• Developed and Managed Website for Chapter Portal

• Implemented an automated process for generating monthly/quarterly financial reports by leveraging Python, Google App Script, JavaScript, and AWS Lamba, resulting in the efficient and accurate retrieval of data from the server.• Designed and developed a user-friendly website for comparing all investors' data, streamlining the process and reducing it to just a few clicks, using Django and AWS EC2. The website allowed for the automation of the entire process, increasing efficiency and productivity.