Bridging development, operations, and security with cutting-edge AI/ML expertise. 13+ years of experience in creating secure, scalable, and intelligent solutions.
Seasoned DevSecOps Engineer, Front End Engineer and Full-Stack Developer with over 13 years of experience, specializing in bridging the gap between application development, IT operations, and security. Recently enhanced expertise with a PG master-level course in AI/ML Engineering from IIT Hyderabad Talentsprint, with a keen interest in developing secure and scalable AI-driven solutions. Proven leader in implementing robust DevSecOps practices and scrum methodologies, while also providing technical leadership to engineering teams. Eager to leverage this unique skill set to build innovative and secure applications and AI development.
Over 13 years of experience in full-stack development, with a current focus on building applications. Recently completed a PG master-level course in AI/ML Engineering from IIT Hyderabad Talentsprint, acquiring proficiency in machine learning algorithms, deep learning, and data science. Expertly integrated security into DevOps practices, embedding automated security scans (SAST, DAST) and compliance checks directly into CI/CD pipelines using tools like Azure DevOps, Jenkins, and GitLab CI. Designed and deployed scalable, secure infrastructure using Infrastructure as Code (IaC) tools, ensuring continuous deployment without compromising security. Spearheaded rapid detection and resolution of security incidents, significantly minimizing downtime and threat impact.
Learn MoreMachine learning models, neural networks, data analysis.
Frontend and backend development with modern frameworks.
CI/CD pipelines, automation, containerization.
Agile methodologies, team leadership, timeline management.
Vulnerability assessment, compliance, secure coding practices.
Abu Dhabi, UAE
Dubai, UAE
Abu Dhabi, UAE
Dubai, UAE
Dubai, UAE
Chennai, India
USA (Remote)
Chennai, India
October 4, 2025
Decision trees are one of the most intuitive and easy to understand machine learning algorithms that work exactly like how we make decisions in real life. Think of them like flowcharts that help computers make smart choices by asking a series of yes/no questions. What is a Decision Tree?A decision tree is a tree-like structure […]
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September 29, 2025
Large Language Models (LLMs) are fundamentally stateless; they process each query independently. The ability to recall past conversations is not innate but created by sophisticated external memory systems. Short-Term Memory: The Current Session During a single chat, the application provides the LLM with a “context window”—a sliding buffer of the most recent conversation. This allows […]
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September 6, 2025
In the world of machine learning, building a model is just the start—deploying it locally for quick predictions is where the real value lies. Today, I’ll walk you through creating a basic email spam detection model using scikit-learn, training it on a real dataset from Hugging Face, saving it, and running it on your local […]
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