data engineering , Data Cleaning, Kafka, MLops, Neo4j, Docker, Spark, Kubernetes, Python, LangChain, Airflow, Generative AI, MLflow, LangGraph, Data Procurement, Knowledge Graph Engineering

Github, Incident Response, Linux Networking, Docker, Terraform, Gitlab, Azure DevOps, Cloudformation, Jenkins, Dashboards, Ansible, metrics, Kubernetes, security basics, alerting, artifact signing, ML GenAI delivery, observability, tracing, model packaging, DevOps practices, secrets management, centralized logging, monitoring hooks, Infrastructure-as-Code, dependency scanning

Python, MLops, Docker, Kubernetes, AWS, TensorFlow Serving

Cloud Platforms (AWS, Azure), MLops, Machine Learning, Python, Kubeflow, ML Pipeline, ML Deployment

Kubernetes, Python, Dockers, Devops, Git, Azure ML, CI CD pipelines, MLOps models re-training labelling monitoring, Cloud AI Services, Generative AI architectures and solutions, ML models optimization, applications industrialization

Deep Learning, Pytorch, Clustering, Svm, Tensorflow, Decision Trees, Python with ML Frameworks, Advanced ML Algorithms, reinforcement learning, DevOps practices, Model Deployment at Scale, Data Pipelines Engineering

Tensorflow, MLops, Docker, Python, Kubernetes, Cuda, Model Monitoring, ML Pipelines

Python, R