Summary
Dilip Renkila is a Tech Lead and Platform Owner based in Stockholm with 10 years of experience building cloud-native and MLOps platforms. He specializes in OpenShift-driven productionization of ML workflows, having integrated Azure ML, MLflow, and CI/CD to deploy real-time inference APIs and time-series forecasting models for logistics at PostNord. His work blends infrastructure and ML: from running Mask R-CNN inference on OpenShift to implementing a RAG chat app using pgvector, GPT-4, and LlamaIndex. Past roles include consulting for Red Hat and running large multi-cloud Kubernetes fleets, Terraform/Ansible automation, and OpenStack design, reflecting deep operational expertise across cloud, storage, and observability stacks. Known for pragmatic end-to-end solutions, he often removes vendor hopping by enabling training and inference directly on OpenShift to simplify production ML.
10 years of coding experience
3 years of employment as a software developer
Master's degree Computer Systems Networking and Telecommunications, Master's degree Computer Systems Networking and Telecommunications at Blekinge Institute of Technology
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at JNTUH College of Engineering Hyderabad
English, Hindi, Telugu, Swedish