Rayna M
Senior Devops Engineer @IBM
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WORK HISTORY
Senior Devops Engineer @IBM
London, GB
Designed and deployed secure Python-based CI/CD pipelines automating end-to-end machine learning model integration for critical UK government services, with robust version control and automated rollback- Scripted complex Python automation modules for continuous data ingestion, real-time ETL workflows, and telemetry pipelines, leveraging AWS services (Lambda, S3, EC2, IAM) to deliver 99.9% uptime and end-to-end encryption- Built and maintained infrastructure-as-code (IaC) using Terraform and scripted AWS CLI tools, ensuring consistent, repeatable deployments for sensitive government data pipelines- Orchestrated containerised deployments with Docker and Kubernetes, integrating secure microservices that dynamically scale AI workloads and API endpoints- Implemented policy-as-code checks and automated Python-based error detection scripts to catch compliance gaps and security vulnerabilities pre-deployment, cutting manual configuration errors by 50%- Developed robust GitOps workflows with Jenkins, Bitbucket, and AWS CodePipeline, streamlining code promotion, automated testing, and continuous integration for multiple secure environments- Automated unit, integration, and security testing frameworks in Python using PyTest, SonarQube, and Snyk, ensuring government standards for vulnerability management and secure production releases.Wrote detailed Python documentation and reusable script libraries, enabling team-wide adoption of automation best practices and boosting deployment speed by 40%- Partnered directly with data scientists, DevOps engineers, and security leads to integrate MLOps pipelines, monitor deployed models in AWS, and ensure robust audit trails for all automated workflows- Delivered comprehensive training and handover sessions, enabling secure, error-free operation and rapid scaling of AI-driven services in a highly regulated government environment.
EDUCATION
Massachusetts Institute of Technology Affiliates
Human Research Certification, Human Research
King's College London
Msc Statistical Modelling and Health Informatics, Computer science and Biostatistics
University of Essex
Psychology with Cognitive and Clinical Neuroscience
ABOUT RAYNA M
I’m a strategic Lead Data Scientist with 6+ years delivering secure AI/ML solutions, advanced predictive models, NLP/LLMs, and DevOps frameworks for high-impact Defence, NHS and global enterprise projects. I thrive on transforming complex data into actionable insights that deliver measurable ROI and real-world impact.Studying at King’s College London, one of the best universities in the world (top 5%), was an incredibly enriching experience. Being surrounded by leading researchers and AI experts shaped my vision: to lead advanced AI, ML, generative AI and automation projects at scale, always with ethical, secure real-world application.Predictive modelling is where I thrive. My passion for data science started during my Neuroscience studies, where I built a tumour segmentation classification project using K-Means clustering to detect brain tumours, reducing doctors’ diagnosis time by 70-% and helping improve radiation treatment success rates. That early project still drives my commitment to impactful, applied AI.Today, I deliver large-scale forecasting pipelines (ARIMA, SARIMA, Prophet), deploy secure cloud-native architectures, automate OCR for finance operations, and build award-winning dashboards that cut manual reporting time by up to 70%. I manage end-to-end project lifecycles, lead teams, and design robust CI/CD, MLOps and production-ready model monitoring.Core stack: Python | SQL | Power BI | Minitab | SPSS | STATA | ARIMA | SARIMA | Prophet | XGBoost | Palantir | K-Means | scikit-learn | PyTorch | pandas | LangChain | Semantic Kernel | LLMs | Generative AI | Blue Prism | Salesforce | WordPress | Foundry | Jira | Confluence | AWS | Azure (Azure ML, AI Services, AI Search)| CI/CD Pipelines | MLOps | Model Monitoring | OCR Automation | Predictive Modelling | Forecasting & Risk Modelling | Machine Learning | NLP | GDPR & Data Governance | Docker | Project Management | Product Management | Business Intelligence | Reporting Automation | UX Research | Software Engineering | Kubernetes | Containerisation | Stakeholder Management.Known for delivering results under pressure, I bridge deep technical expertise with clear communication and trusted delivery. I’m open to Senior Data roles, AI/ML, Project or Product Management, Research, UX Research, Software Engineering, Lead Analyst or Developer.I’m immediately available and ready to work in Dubai, Qatar, UAE, USA or Europe — open to hybrid, remote or on-site roles, and ready to start now.
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