Che Onu

AI Engineer / MLOps

Salesfloor

Designed and built a headless agentic AI application using LLM-driven decision loops, integrating into CRM and workflow systems

Authored full agentic backend — orchestration logic, tool-calling interfaces, prompt chains, async task execution as containerised microservices

Automated database operations (provisioning, backups, failover, schema migrations) reducing manual DBA intervention by over 60%

Owned end-to-end release coordination for iOS/Android apps and built Jenkins CI/CD pipelines with automated testing and artifact promotion

Established MLOps observability with model performance monitoring, drift detection, and alerting across inference services

AI / MLOps Engineer (Contract)

Symcor Inc.

Built GenAI-powered service desk intelligence solution with natural language knowledge base queries replacing manual searches

Implemented RAG pipeline ingesting structured and unstructured data into vector store with automated chunking and incremental sync

Designed AI-powered check fraud detection system using Python and Databricks with MLflow tracking

Built feature engineering pipelines in PySpark for real-time fraud scoring at scale

Deployed fraud detection models as inference endpoints on Azure ML with alerting and audit logging

Senior SRE / DevOps Engineer

Fullscript

Migrated .NET microservices to Kubernetes, improving deployment frequency by 40%

Managed EKS/ECS infrastructure serving millions of requests with Terraform and CloudFormation

Architected GitLab CI/CD pipelines supporting 50+ engineers across multiple product teams

Designed Helm charts for K8s workloads including RBAC, secrets management, and ingress controllers

Supported Black Friday traffic spikes through auto-scaling and load testing; integrated Wiz for SOC-2 compliance

Senior AWS Specialist

TVO

Conducted AWS Well-Architected Framework reviews across 5+ products

Designed AWS Landing Zone using Control Tower for hybrid multi-account governance

Containerized React applications and deployed via S3 static hosting with CloudFront CDN

Led Scrum/Kanban ceremonies and mentored junior DevOps engineers

Software Engineer (Infrastructure & Automation)

Thales Group

Developed Python automation frameworks replacing fragile manual runbooks

Built Python data pipeline utilities aggregating CloudWatch metrics into operational dashboards

Authored CloudFormation templates and enforced IAM least-privilege across 20+ AWS accounts, cutting costs by 25%

Backend Engineer / Cloud Developer

Nexonia

Designed Python backend services and REST API integrations for expense management workflows

Developed Lambda functions powering event-driven pipelines with SQS/SNS and DLQ error handling

Configured multi-AZ RDS deployments (Aurora, MySQL) with read replicas achieving 99.9% availability

Systems & Automation Engineer

National Grid

Wrote Python scripts and automation tools managing critical energy infrastructure systems

Developed internal dashboards and alerting systems for real-time infrastructure health metrics

Maintained high-availability on-premises and hybrid systems for fault-tolerant design