KEDA + Celery: Need Immediate Pod Scaling for Each Queued Task (Zero Queue Length Goal)

I have KEDA + Celery setup working, but there's a timing issue with scaling. I need immediate pod scaling when tasks are queued - essentially maintaining zero pending tasks at all times by spinning up a new pod for each task that can't be immediately processed.

What Happens Now:

1. Initial state: 1 pod running (minReplicaCount=1), queue=0
2. Add task 1: Pod picks it up immediately, queue=0, pods=1 ✅
3. Add task 2: Task goes to queue, queue=1, pods=1 (no scaling yet) ❌
4. Add task 3: queue=2, pods=1 → KEDA scales to 2 pods
5. New pod starts: Picks task 2, queue=1, pods=2
6. Result: Task 3 still pending until another task is added

What I Want:

1. Add task 1: Pod picks it up immediately, queue=0, pods=1 ✅
2. Add task 2: Task queued → Immediately scale new pod, new pod picks it up ✅
3. Add task 3: Task queued → Immediately scale another pod, pod picks it up ✅
4. Result: Zero tasks pending in queue at any time

Is there a KEDA configuration to achieve "zero queue length" scaling?

# Worker deployment (relevant parts)
containers:
- name: celery-worker
  command:
    - /home/python/.local/bin/celery
    - -A
    - celeryapp.worker.celery  
    - worker
    - --concurrency
    - "1"
    - --prefetch-multiplier
    - "1"
    - --optimization
    - "fair"
    - --queues
    - "celery"


kind: ScaledObject
metadata:
  name: celery-worker-scaler
spec:
  scaleTargetRef:
    kind: Deployment
    name: celery-worker
  pollingInterval: 5
  cooldownPeriod: 120
  maxReplicaCount: 10
  minReplicaCount: 1
  triggers:
    - type: redis
      metadata:
        host: redis-master.namespace.svc
        port: "6379"
        listName: celery
        listLength: "1"