Manasi Karpe Email & Phone Number

California, United States

Remote

• Leading a team of 20 engineers in migrating cloud infrastructure from AWS to Linode, achieving a 67% cost reduction through optimization.• Researching granular permissions in Linode to enhance security alignment with AWS IAM, focusing on fine-grained access control.

Boston, Massachusetts, United States

I instructed and facilitated weekly labs and office hours for a class of 200 students, providing comprehensive guidance on secure coding practices, data structure concepts, and programming assignments, with a focus on secure coding techniques, input validation, and error handling to prepare students for technical interviews. I conducted 20 LeetCode interviews of medium-hard level, focusing on questions based on DSA concepts such as graphs, trees, hash maps, and more to prepare students for technical interviews.Configured and managed multiple Integrated Development Environments (IDEs) for students, ensuring seamless security code integration, secure coding practice adherence, and configuration recording to facilitate a smooth learning experience.

Conducted thorough vulnerability assessments on client websites using SQL Map and Burp Suite, identifying and exploiting potential security weaknesses through SQL injection techniques.Tested a web application for CSRF susceptibility using Burp Suite and ZAP, identifying a 5% user session vulnerability and successfully exploiting the weakness.• Recommended an improved token-based validation mechanism, reducing CSRF susceptibility by 25% and protecting against future attacks. Participated in CTF (Capture the Flag) labs, demonstrating skills in exploiting web vulnerabilities, cookie manipulation, Python pickle libraries, and showcasing problem-solving abilities in a simulated environment.

Completed the summer internship, gaining comprehensive exposure to various cybersecurity domains through expert keynote speakers and practical case studies.

Pune, Maharashtra, India

Developed a social distancing violation detection system using Python and OpenCV, featuring: • Face detection and recognition using the Haar-Cascade model; object detection and tracking for measuring distances between individuals; image processing and analysis for detecting social distancing violations; automatic photo capture and storage of violation images; and implementation of a distance measurement algorithm. • captured and stored images of social distancing violations with timestamped file names for easy reference, utilizing OpenCV and Python for real-time image capture and analysis.deployed a real-time video streaming and alerting system, used S3 buckets for storing and retrieving video footage, SNS for sending alerts and notifications to authorities, and used OpenCV and Python for real-time video analysis and object detection.

Master'S Degree, Cybersecurity

Bachelor Of Engineering - Be, Computer Science, 3.7/4.0