🎞️ Banner 282/367
⚡ How it works (architecture deep-dive 🔬 for engineers)
This profile is a self-updating MLOps demo — a living portfolio showcasing production-grade automation.
- 🤖 Banner rotation: 367 GIFs · natural sorting · cache-busted CDN URLs
- 🧩 Dynamic insights: Context-aware NLG (time/season/DOW algorithms)
- ⏱️ Next Update badge: Shields.io endpoint · HLS gradient · sub-minute precision
- 📡 Observability: JSONL telemetry · heartbeat pings · state persistence
- ⚙️ Zero-touch ops: 5475+ runs · 133 mutations · idempotent commits
| File | Version | Description |
|---|---|---|
| update_readme.py |  |
Banner engine + NLG + JSONL pipeline |
| build_next_badge.py |  |
HLS gradient renderer + countdown |
| Workflow | Schedule | Status |
|---|---|---|
| Auto Update README | Daily 12:15 UTC |  |
| Next Update Badge | Every 20min |  |
| CI/CD Pipeline | On push/PR |  |
.
├─ update_log.jsonl # CI run timeline (1 JSON per run: ts_utc, run_id, run_number, sha, banner_*, insight_*)
├─ update_log.txt # Grep-friendly mirror of update_log.jsonl (ts UTC, run=…, sha=…; rolling tail)
├─ badges/
│ ├─ next_update.json # Live Shields.io badge state (label, message like '~14h 35m', color bucket)
│ ├─ next_update_log.jsonl # Badge countdown snapshots (ts, next_utc, minutes_left, message, color, jitter params)
│ ├─ next_update_log.txt # Human-readable badge ETA tail ([ts] color=… msg='…' next_utc=… mins_left=…)
│ ├─ github_followers.json # Endpoint payload for the Followers badge (schemaVersion/label/message/color)
│ ├─ github_stars.json # Endpoint payload for the Stars badge
│ └─ total_updates.json # Endpoint payload for the Updates badge
└─ .ci/
├─ heartbeat.log # GitHub Actions heartbeat ledger (Updated on / Triggered by / Commit SHA / Run ID / Run number)
└─ update_count.txt # Monotonic mutation counter (powers the «N mutations shipped» tagline)
📋 Browse logs:
📊 update_log.jsonl ·
📝 update_log.txt ·
💓 heartbeat.log ·
🔢 update_count.txt
⏱️ next_update.json ·
📡 next_update_log.jsonl ·
📋 next_update_log.txt
👥 github_followers.json ·
⭐ github_stars.json ·
📈 total_updates.json
- 🎓 Learning @ SuperDataScience
- 🪄 Focus: MLOps | SQL | Automation
- ⏳ Over 2 years of continuous learning
| 🌐 Platform | 🔗 Link |
|---|---|
| 🧠 GitHub | Evgenii Matveev |
| 📁 Portfolio | Data Science Portfolio |
| Evgenii Matveev |
💫 AI Copilot Ecosystem
| Assistant | Role | Usage |
|---|---|---|
| ChatGPT 5.1 | Core copilot for architecture & automation | Rapid execution |
| Claude Sonnet 4.5 | Contextual planner & strategic reasoner | Long-range thinking |
💡 Note: Dual-Copilot Workflow
This ecosystem operates as a dual-copilot workflow — two AI systems working in synergy:
- ChatGPT → architecture, reasoning, documentation
- Claude Sonnet 4.5 → long-context planning & strategic alignment
This dual-copilot system balances speed and depth —
ChatGPT executes and refines · Claude plans and connects.
Together they form my AI-powered engineering loop for continuous innovation.
✨ Optimized for precision, powered by automation, evolving through insight.
🤖 Automation Logs
🪄 Run Meta (click to expand)
- 📆 Updated (UTC): 2025-12-08 13:14 UTC
- 🤖 Run: #5568 — open run
- 🧬 Commit: a824b80 — open commit
- ♻️ Updates (total): 189
- 🌀 Workflow: Auto Update README · Job: update-readme
- ✨ Event: schedule · 🧑💻 Actor: evgeniimatveev
- 🕒 Schedule: 24h_5m
- 🌈 Banner: 282/367
🗂️Recent updates (last 5)
| Time (UTC) | Run | SHA | Banner | Event/Actor | Insight |
|---|---|---|---|---|---|
| 2025-12-08 13:14:39 | 5568 | a824b80 |
282/367 (282.gif) | schedule/evgeniimatveev | 📡 SQL • PYTHON • PIPELINES • RUN #5568 — Plan the roadmap; align data and product 🧭 | Start your week strong! 🚀 Ship a thin slice: A… |
| 2025-12-07 13:01:16 | 5567 | ad29faf |
281/367 (281.gif) | schedule/evgeniimatveev | 📡 BUILD • MEASURE • LEARN • RUN #5567 — REDUCE NOISE, RAISE SIGNAL 📡 | PREP FOR AN MLOPS-FILLED WEEK! ⏳ PROFILE QUERIES, ADD INDEXES… |
| 2025-12-06 12:58:28 | 5566 | f6e5470 |
280/367 (280.gif) | schedule/evgeniimatveev | 📡 SQL • PYTHON • PIPELINES • RUN #5566 — Plan Roadmaps With Calm Clarity 🧭 | Weekend Automation Vibes! 🎉 Review Metrics, Cut Toil, A… |
| 2025-12-05 13:04:16 | 5565 | d30b463 |
279/367 (279.gif) | schedule/evgeniimatveev | 📡 AUTOMATE EVERYTHING • RUN #5565 — Reduce Noise, Raise Signal 📡 | Wrap It Up Like A Pro! ⚡ Tighten Slas, Widen Observability, Reduc… |
| 2025-12-04 13:06:40 | 5564 | 0376401 |
278/367 (278.gif) | schedule/evgeniimatveev | 📡 SHIP SMALL, SHIP OFTEN • RUN #5564 — Plan roadmaps with calm clarity 🧭 | Test, iterate, deploy! 🚀 Validate data contracts before t… |
Night-mode palettes · Daily A–G theme rotation · Fully automated via GitHub Actions
| 🧩 Workflow | ⚙️ Automation | 📊 Insights |
|---|---|---|
| Design → Build → Scale | Deploy CI/CD with intelligence | Measure → Learn → Improve |
- ⚙️ Automate end-to-end ML pipelines (train → eval → deploy)
- 📈 Track experiments with MLflow & W&B; analyze runs via PostgreSQL/SQL
- 📉 Build stakeholder dashboards in Tableau / Power BI
🤖 MLOPS Insight: 📡 SQL • PYTHON • PIPELINES • RUN #5568 — Plan the roadmap; align data and product 🧭 | Start your week strong! 🚀 Ship a thin slice: API → model → dashboard 🍰 🌅
📈 Auto GitHub Insights (UTC · auto-refresh)
