Computer Science Engineer focused on building scalable backend systems, secure platforms, and intelligent applications.
I'm a Computer Science Engineering student with a deep interest in backend architecture and distributed systems. I enjoy designing APIs, building microservices, and working with cloud-native technologies to solve real-world problems at scale.
Beyond backend development, I'm passionate about cybersecurity — from OWASP Top 10 vulnerabilities to malware analysis and secure system design. I also explore the intersection of AI and modern software systems, applying machine learning to build smarter applications.
Competitive programming sharpens my problem-solving skills — I actively participate on platforms like LeetCode and Codeforces, and I believe strong algorithmic thinking is the foundation of great engineering.
From backend architecture to security analysis — tools I use to build and protect systems.
Designed scalable architecture for an online judge platform. Built a secure Docker-based code execution sandbox with resource constraints for safe execution of untrusted code. Improved backend performance and system scalability.
A collection of projects showcasing backend engineering, security research, and full-stack capabilities.
Full-stack online judge platform executing user code inside isolated Docker containers with asynchronous job queue and automated test case evaluation.
SaaS job platform supporting tenant-isolated dashboards, automated job activation using Stripe webhooks, and secure resume uploads.
Performed static and dynamic analysis of WannaCry ransomware to extract indicators of compromise and analyze propagation behavior.
Active on competitive programming platforms, continuously sharpening problem-solving skills.
Writing about backend engineering, security, and software systems on Hashnode.
An introduction to distributed system concepts — CAP theorem, consensus algorithms, and why they matter for modern backend architecture.
A practical walkthrough of the most critical web application security risks and how to defend against them in production systems.
Best practices for building maintainable, well-documented REST APIs — covering routing patterns, error handling, and authentication.
Industry certifications demonstrating expertise in AI, machine learning, and cybersecurity.
Whether you have a question, a project idea, or just want to say hi — I'd love to hear from you!
Place your resume PDF atpublic/resume/pranjal-khare-resume.pdf