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AI/ML engineer and cloud automation specialist with 12+ years of enterprise infrastructure experience across AWS, Linux, monitoring, incident automation and service operations. I convert operational data into dashboards, predictive reporting and automated workflows to improve visibility, incident response, and platform reliability. Currently completing an MSc in Artificial Intelligence at Brunel University London, with hands-on capability in Python, ML/deep learning, NLP, and computer vision—focused on building intelligent, reliable infrastructure and ML-enabled operational automation.…AI/ML engineer and cloud automation specialist with 12+ years of enterprise infrastructure experience across AWS, Linux, monitoring, incident automation and service operations. I convert operational data into dashboards, predictive reporting and automated workflows to improve visibility, incident response, and platform reliability. Currently completing an MSc in Artificial Intelligence at Brunel University London, with hands-on capability in Python, ML/deep learning, NLP, and computer vision—focused on building intelligent, reliable infrastructure and ML-enabled operational automation.

PRIYANKA NAYAKA RAI

AI Engineer, Data Scientist, DevOps Developer, +2

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AI/ML engineer and cloud automation specialist with 12+ years of enterprise infrastructure experience across AWS, Linux, monitoring, incident automation and service operations. I convert operational data into dashboards, predictive reporting and automated workflows to improve visibility, incident response, and platform reliability. Currently completing an MSc in Artificial Intelligence at Brunel University London, with hands-on capability in Python, ML/deep learning, NLP, and computer vision—focused on building intelligent, reliable infrastructure and ML-enabled operational automation.…AI/ML engineer and cloud automation specialist with 12+ years of enterprise infrastructure experience across AWS, Linux, monitoring, incident automation and service operations. I convert operational data into dashboards, predictive reporting and automated workflows to improve visibility, incident response, and platform reliability. Currently completing an MSc in Artificial Intelligence at Brunel University London, with hands-on capability in Python, ML/deep learning, NLP, and computer vision—focused on building intelligent, reliable infrastructure and ML-enabled operational automation.

Available to hire

AI/ML engineer and cloud automation specialist with 12+ years of enterprise infrastructure experience across AWS, Linux, monitoring, incident automation and service operations. I convert operational data into dashboards, predictive reporting and automated workflows to improve visibility, incident response, and platform reliability.

Currently completing an MSc in Artificial Intelligence at Brunel University London, with hands-on capability in Python, ML/deep learning, NLP, and computer vision—focused on building intelligent, reliable infrastructure and ML-enabled operational automation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Work Experience

Infrastructure & AI Automation Engineer at Transpak India Pvt Ltd

April 1, 2024 - March 1, 2025

Built Python automation for on-premises to AWS EC2/S3 workload migration, reducing manual effort and improving repeatability. Provisioned repeatable cloud environments using Terraform and Ansible across Linux and AWS services. Deployed Moodle LMS on Linux with monitoring, alerting and automated incident workflows. Created CloudWatch and Grafana dashboards to surface infrastructure health, workload status and operational trends. Developed runbooks and automated reporting pipelines to improve handover, decision-making and service reliability.

Infrastructure Operations Manager / Intelligent Monitoring Lead at Capgemini (Client: Barclays, UK)

November 1, 2022 - April 1, 2024

Led intelligent monitoring operations for a major UK banking environment using DX NetOps Suite across large-scale network and infrastructure estates. Applied threshold-based anomaly detection, baselining and alert tuning to improve early identification of infrastructure issues. Standardised data mapping and operational dashboards, improving infrastructure reporting accuracy by 30%. Automated alert routing and escalation workflows through ServiceNow integrations, supporting faster incident triage and reduced MTTR. Produced predictive IT health reports for senior stakeholders covering uptime trends, recurring incidents and platform performance.

Technical Lead - Infrastructure & Intelligent Monitoring at Happiest Minds Technologies (Client: Mercedes-Benz R&D India)

January 1, 2020 - November 1, 2022

Integrated DX NetOps Suite with ServiceNow using Python scripts to automate incident creation, enrichment and routing. Implemented proactive fault detection logic and threshold tuning to reduce unplanned downtime across critical R&D infrastructure. Used performance trend analysis for capacity planning to inform infrastructure investment and risk decisions. Created architecture diagrams, SOPs and knowledge-base documentation to improve service continuity and team onboarding.

Provisioning Engineer - Infrastructure & Monitoring at Alphaserve Technologies

November 1, 2015 - January 1, 2020

Managed monitoring and reporting infrastructure for 150+ BFSI enterprise clients using CA Spectrum, eHealth, NetQoS and Nimsoft. Designed automated reporting systems and performance dashboards to provide actionable insight into client infrastructure health. Configured SNMP monitoring thresholds and alerting rules to improve incident detection accuracy across large client estates.

IT Infrastructure Administrator at Dimension Data & Microland

January 1, 2012 - January 1, 2015

Delivered enterprise infrastructure monitoring for clients including Pfizer, GE and Mercedes-Benz using CA Spectrum, Splunk and WhatsUp Gold. Supported Windows Server and Linux administration, patching, monitoring, incident resolution and operational reporting.