I'm Pranay Kumar

• • Spearheaded the development and implementation of Kavach, a unified CSPM, SOAR, and SIEM platform, significantly enhancing cloud security and compliance across AWS environments.
• • Developed 50+ Python-based policies for real-time AWS infrastructure monitoring, ensuring adherence to CIS and ISO compliance standards, improving compliance visibility.
• • Engineered and deployed automated remediation pipelines utilizing AWS Lambda and Harness to proactively address identified vulnerabilities, reducing mean time to remediation (MTTR) by 50%.
• • Streamlined alerting and progress tracking by integrating with Slack and Jira, enhancing communication and automating security event documentation.
• • Implemented robust Python scripts leveraging Boto3 for automating security audits, key rotations, and incident response workflows, boosting operational efficiency and security posture.
• • Architected and delivered SSP, an internal Application Access Management tool, to centralize and control access to critical platforms for 750+ users/applications.
• • Built with Django (backend), Next.js (frontend), MongoDB, Nginx, and deployed on AWS EC2 with Route53 and Load Balancers. Established CI/CD pipelines and integrated with enterprise systems (AWS, GitHub, Jira, etc.).
• • Tech Stack: Python, AWS Lambda, Harness, Boto3, Django, Next.js, MongoDB, Nginx, AWS EC2, Route53, Load Balancers.

• • Worked under the guidance of Professor Dr Amirhassan Monajemi and Dr Tan Wee Kek for developing Gradient descent algorithms, training ANN, CNN, RNN, GANs, SVMs, text mining algo and learning how they work in developing facial recognition and deep learning models.
• • Learned about concepts of Cross-industry standard process for data mining (CRISP-DM), Business Analytic, statistical analysis for summarizing data Dr Lek Hsiang Hui.

• • Have been working in a team of 10 member to spread awareness about blockchain fundamentals in colleges and universities.
• • Helped reach out to 10k - 15k new people over the tenure.

• Research Paper: Deep Learning Based Bug Detection in Solidity Smart Contracts — Published in Springer (RTIP2R 2023). Authored research on a novel methodology using Convolutional Neural Networks (CNNs) to detect critical security vulnerabilities in Solidity smart contracts, significantly enhancing blockchain security.

• Rockstar Award from MoEngage for exceptional performance. This was for the development of the SSP (internal Application Access Management tool).

• AWS Cloud Practitioner Essentials Certificate — Coursera. Demonstrated foundational knowledge of AWS services and concepts, cloud architecture and security.

• Secured 2nd* Position, in BU Smart India Hackathon 2022 among 50+ registered teams at Bennett University, where I worked in a team of 6.

• Secured 3rd* Position, in Compathon 2022 among 100 registered teams at Bennett University, where I worked as team lead in a team of 5.

• Geek For Geeks - 100+ questions, Code Chef - 2-star, Hacker rank - 5-star python.