Welcome to my world — and thank you for visiting! 🙂

As a DevSecOps Engineer and AI practitioner, I’m passionate about building secure, scalable, and intelligent systems that bridge the worlds of industry, academia, and open-source innovation. My work integrates DevOps, data science, and cybersecurity, creating end-to-end automation pipelines that enhance reliability, optimize performance, and protect data integrity across modern digital ecosystems.

In the industry, I’ve delivered impactful solutions for organizations such as TD, Bell, Surex, iMD Research, Robi Axiata PLC, and Scale AI. My contributions span secure API development, cloud-native CI/CD automation, and AI/ML pipeline deployment across GCP, AWS, and Azure — enabling measurable improvements in performance, user experience, and operational efficiency for millions of transactions.

My academic research at Toronto Metropolitan University deepened my expertise in intelligent systems, machine learning, and neural networks, leading to several prestigious honors including the Mitacs Accelerate Awards and TMU Graduate Fellowships. This research experience continues to influence my approach to designing privacy-compliant, secure, and adaptive systems for real-world applications.

Beyond work, I actively contribute to open-source DevSecOps and AI communities, developing reusable frameworks, sharing technical insights, and mentoring peers through collaborative projects. I’m driven by the mission to simplify secure AI innovation and make advanced technology accessible for both enterprises and scientific communities.

Ultimately, I strive to combine business strategy, technical mastery, and a growth mindset to design solutions that are secure, data-driven, and impactful — bringing measurable value to organizations and users alike.