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I am a dedicated researcher and engineer specializing in machine learning, cloud native applications, and large language models. My work focuses on enhancing fault detection, automating root cause analysis, and improving cybersecurity threat prediction to increase system reliability and operational efficiency. With a passion for innovation and collaboration, I have led impactful research projects, supervised students, and contributed to scientific communities. I aim to continue applying advanced AI and cloud technologies to solve real-world problems and drive improvements in various industries.…I am a dedicated researcher and engineer specializing in machine learning, cloud native applications, and large language models. My work focuses on enhancing fault detection, automating root cause analysis, and improving cybersecurity threat prediction to increase system reliability and operational efficiency. With a passion for innovation and collaboration, I have led impactful research projects, supervised students, and contributed to scientific communities. I aim to continue applying advanced AI and cloud technologies to solve real-world problems and drive improvements in various industries.

Zakeya Namrud

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I am a dedicated researcher and engineer specializing in machine learning, cloud native applications, and large language models. My work focuses on enhancing fault detection, automating root cause analysis, and improving cybersecurity threat prediction to increase system reliability and operational efficiency. With a passion for innovation and collaboration, I have led impactful research projects, supervised students, and contributed to scientific communities. I aim to continue applying advanced AI and cloud technologies to solve real-world problems and drive improvements in various industries.…I am a dedicated researcher and engineer specializing in machine learning, cloud native applications, and large language models. My work focuses on enhancing fault detection, automating root cause analysis, and improving cybersecurity threat prediction to increase system reliability and operational efficiency. With a passion for innovation and collaboration, I have led impactful research projects, supervised students, and contributed to scientific communities. I aim to continue applying advanced AI and cloud technologies to solve real-world problems and drive improvements in various industries.

Available to hire

I am a dedicated researcher and engineer specializing in machine learning, cloud native applications, and large language models. My work focuses on enhancing fault detection, automating root cause analysis, and improving cybersecurity threat prediction to increase system reliability and operational efficiency.

With a passion for innovation and collaboration, I have led impactful research projects, supervised students, and contributed to scientific communities. I aim to continue applying advanced AI and cloud technologies to solve real-world problems and drive improvements in various industries.

Skills

Experience Level

Expert

Expert

Expert

Expert

Work Experience

Postdoctoral Researcher at IBM

July 1, 2022 - Present

Developed and deployed sophisticated Machine Learning algorithms that increased fault detection accuracy by 95%, enabling proactive incident management within microservices architectures and reducing mean time to resolution (MTTR) by 10 hours per incident. Integrated Ansible playbooks with cutting-edge Large Language Models, including GPT-4, LLaMa, and LoRA, to automate root cause analysis processes, resulting in a 40% improvement in incident triage speed across Kubernetes and OpenShift environments. Leveraged pre-trained LLMs to generate precise, domain-specific code snippets for operational tasks, boosting automation efficiency by 50% and enhancing system reliability through intelligent fault analysis in cloud-native platforms.

Researcher at Secureworks

November 1, 2025 - August 28, 2025

Analyzed over 10,000 CVEs from the National Vulnerability Database to develop predictive models that increased exploit detection accuracy by 35%, enhancing proactive cybersecurity measures. Collaborated with Secureworks to design and implement machine learning algorithms capable of identifying emerging vulnerabilities, resulting in a 40% reduction in false positives and faster threat mitigation. Integrated diverse threat intelligence sources into the research framework, improving vulnerability prediction coverage by 28%, thereby strengthening system defenses against potential exploits.

Postdoctoral and Coordinator at York University

December 1, 2024 - August 28, 2025

Led pioneering research on Large Language Models (LLMs) for Failure Management in Cloud Native Applications, resulting in the publication of 5 peer-reviewed papers and establishing a novel framework that improved failure detection accuracy by 30% across diverse cloud environments. Supervised PhD and Master's students, guiding experimental design and data analysis that contributed to 3 groundbreaking theses recognized for innovation, while increasing student publication output by 50%. Collaborated with industry partners to translate research findings into practical applications, contributing to a project that reduced system downtime related to failure management by 25%, thereby enhancing service reliability in enterprise cloud platforms.

Editorial Board & Scientific Committee Member at Springer Nature

July 1, 2025 - August 28, 2025

Honoured with a Certificate of Appreciation for driving innovation in AI and Generative AI research. Contributed to strategic planning that expanded conference participation by 40% over previous years. Facilitated dissemination of cutting-edge research by reviewing over 150 submissions, ensuring a peer review accuracy rate exceeding 98%, enhancing the conference’s reputation for scholarly rigour. Led organizational efforts as Session Chair and Workshop Presenter, coordinating 20+ sessions that increased attendee engagement by 35% and promoted cross-disciplinary collaboration among industry leaders and academic experts.