Bridging the gap between scalable Software Engineering and offensive Cybersecurity.
I am a results-driven Senior Software Engineer and Cybersecurity Researcher with extensive experience architecting high-availability enterprise applications (HRMS, ERP) using C#, ASP.NET Core, and React.
As a proactive security expert, I have discovered and responsibly reported over 1,000+ valid security vulnerabilities globally, earning Hall of Fame honors from industry giants like Google, Microsoft, and NASA. I am also an official HackerOne Ambassador, mentoring the next generation of ethical hackers.
1000+
Bugs Found
80
Critical Severity
4th
SUST CTF
A balanced stack of development and security technologies.
My journey in tech and security.
Architected and maintained scalable HRMS enterprise applications and security modules using ASP.NET Core, React Native, and SQL Server. Hardened server infrastructure enforcing zero security breaches.
Conduct comprehensive vulnerability assessments and penetration tests as part of private and public bug bounty programs globally. Identified high-impact web and mobile vulnerabilities.
Engineered scalable full-stack software solutions for HRMS, ERP, and POS domains utilizing C#, ASP.NET Core, React, and SQL Server in alignment with Agile SDLC principles.
Executed rigorous Vulnerability Assessment and Penetration Testing (VAPT) across cloud infrastructure and on-premise networks to identify potential attack vectors.
Bridging AI, Development, and Security.
Developed a hybrid Convolutional Neural Network (CNN) deep learning model achieving 95.5% classification accuracy on ~50,000 BanglaLipy dataset samples. Applied data augmentation to prevent overfitting.
Engineered an NLP dataset containing 392,510 cleaned customer reviews collected from drugs.com for natural language processing, sentiment analysis, and health informatics research.
Engineered a custom suite of cybersecurity penetration testing tools and automation scripts to support vulnerability assessment, reconnaissance, and security auditing.
Evaluated traditional machine learning algorithms and deep learning architectures for Natural Language Processing (NLP) text classification, optimizing model accuracy.
Have a project in mind, need a security audit, or just want to say hi? Drop me a message below.