Building secure and AI-driven applications
🇦🇪 UAE Golden Visa Holder
AI/ML Engineer with over 13 years of experience in software development. Currently serving as an AI/ML Engineer at Cyber50 Defense, building secure and AI-driven applications. I am a Certified Scrum Master and Product Owner, bringing comprehensive expertise in AI engineering, DevSecOps, and cybersecurity.
Previously served as an AI Automation and DevSecOps Engineer at HelpAg (Department of Health, Abu Dhabi), where I led and supported junior developer teams to deliver high-quality projects using agile methodologies and best practices. I brought my expertise in applications and cybersecurity to the Info Cyber Security Operational team.
As a passionate and proactive professional, I constantly update myself with the latest prototyping technologies and tools to identify and resolve emerging site/software issues. I am driven by finding innovative solutions that improve the user experience and drive business growth.
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. Expertly integrated security into DevOps practices, embedding automated security scans (SAST, DAST) and compliance checks directly into CI/CD pipelines.
Machine 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
Abu Dhabi, UAE
Dubai, UAE
Abu Dhabi, UAE
Dubai, UAE
Dubai, UAE
Chennai, India
USA (Remote)
Chennai, India
May 19, 2026
In Cyber Threat Intelligence (CTI) operations, handling incoming data streams is a massive data engineering challenge. When analyzing massive streams of unstructured security logs or data feeds, security engineering teams face a critical bottleneck: how to ingest millions of unstructured payloads, validate them against threat intelligence tools, deduplicate them, and index them for rapid search […]
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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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