A cloud security engineer-in-training who builds production-grade labs, breaks things on purpose, and engineers the intersection of AI and threat intelligence.
BSc Computer Science with Artificial Intelligence @ BCU
Prem is a Cloud Security & Security Software Engineer with growing experience across cloud infrastructure security, application security, detection engineering, and AI-assisted workflows. He also possesses a strong passion and active interests in iOS Software Engineering, developing secure mobile applications.
The approach is methodical and adversarial: build environments, break them deliberately, document every finding, and improve resilience through hands-on iteration. Not just learning theory — shipping working systems.
From simulating brute-force attacks and mapping detections to MITRE ATT&CK, to building full-stack secure platforms with RBAC and audit trails — every project is engineered to solve a real security problem.
Exhibits above-average initiative, builds production-adjacent tooling, and shows strong long-term fit for cloud security engineering and detection-focused roles.
Active engagements and freelance deployments across security engineering and AI research domains.
Executing and structuring weekly cybersecurity sessions and technical workflows within the Cybersecurity division. Coordinating team projects by breaking milestones into tasks, managing GitHub repositories and documentation boards, supporting team members through technical roadblocks, and serving as the operational bridge between the committee and division leadership to deliver consistent session results.
Contributing to advanced Generative AI systems by evaluating response quality, accuracy, reasoning, and safety. Providing structured expert feedback that improves model behavior and technical reliability — with a focus on risk and accuracy relevant to cybersecurity.
Official academic reference credentials and peer recommendations from Birmingham City University's computing faculty.
Live skill topology across cloud security, detection engineering, AI/ML workflows, and software development.
Click on highlighted cells (technique nodes) to inspect simulated incident logs, detection rules, and project evidence mapped to Prem's operational experience.
Detection labs, security toolkits, full-stack secure systems, innovation award winners, and AI-powered tools — engineered to solve real problems.
A live-simulated SOC dashboard: real-time threat map, alert feed, and detection metrics — the kind of tooling a detection engineer actually builds and monitors.
Certifications across cybersecurity, cloud computing, AI engineering, and design thinking.
Direct validation on Credly. Verified skills include Security Operations, Incident Response, and Threat Detection.
Verify on Credly ↗Direct validation on Credly. Verified skills include Agile Collaboration, UX Design, and User-Centered Thinking.
Verify on Credly ↗Direct verification on Coursera. Verified skills include LLM orchestration, vector search, and RAG architectures.
Verify on Coursera ↗Direct verification on Coursera. Verified skills include Prompt Engineering, LLM properties, and GenAI applications.
Verify on Coursera ↗Direct verification on Coursera. Verified skills include Cloud Models (IaaS/PaaS/SaaS), DevOps, and virtualization.
Verify on Coursera ↗Direct validation on Google Academy. Verified skills include Prompting, AI productivity, and ethical AI implementation.
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Open secure channels for opportunities, collaboration, project discussion, or recruitment.
Threat actors use SMB to execute commands or transfer files laterally across internal networks.
Monitor port 445 traffic for spikes or abnormal host traversal. Map logs to Splunk alerts using lateral_movement.yar rules.
Engineered a Docker container lab environment mimicking corporate LAN. Simulated SMB credential dumping and tuned Splunk alarms to eliminate false-positive telemetry.