I designed a three‑month roadmap that blends machine‑learning and backend engineering into three self‑contained, portfolio‑ready projects, each scoped to be completed in roughly one month.
Month 3 – End‑to‑End MLOps Demo: I packaged the first project as a Kubernetes‑native workflow with Helm charts, a nightly retraining CronJob, MLflow model registry, and a canary rollout using Istio; the setup includes JWT auth, network policies, and a live demo deployed on a local Kind cluster.