Ahmed Amer

Junior AI Engineer·AI Engineering·Rubric: AI Engineer

Sustainability: Watch

Three-score verdict

This week

Output

Alignment

Leverage

Output Δ

▲ 6 vs prior

Alignment Δ

▲ 7 vs prior

Leverage Δ

▲ 9 vs prior

Score trend

5-week

Leverage distribution

% of week

Sustainability

Focus time

40%

Meeting load

stable

After-hours

low

Overtime

Watch: 50% of time is manual QA admin. The e2e work will rebalance this toward deep work.

Top actions

Pair with Ahmed to de-flake the e2e test (!407)

Make !407 a required check to retire manual QA

Stop the 6h/release manual regression once automated

Recent work signals

2 signals

◆GitLab

test: first automated WhatsApp QR e2e flow

Goal-aligned

Adds one Playwright-driven end-to-end test simulating a scan→validate→reply cycle against staging. First automated coverage of a path QA does by hand. Some flakiness on timeouts noted.

Output71

Alignment74

Leverage88

◷Kimai

Manual QA regression · Hytech

System-blocked

6h logged across two days re-running the full WhatsApp QR flow by hand after every deploy. Note: 'no automated e2e yet, doing it manually each release'.

Output45

Alignment40

Leverage30

Scoring rubric

Generated from the AI Engineer JD in Odoo. Weights tuned toward reliability given platform-hardening quarter.

Correctness · 35%Craft & clarity · 30%Reliability impact · 35%