🌇 Banner 290/367
⚡ 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): 2025-12-15 13:16 UTC
- 🤖 Run: #5575 — open run
- 🧬 Commit: 06162ce — open commit
- ♻️ Updates (total): 196
- 🌀 Workflow: Auto Update README · Job: update-readme
- ✨ Event: schedule · 🧑💻 Actor: evgeniimatveev
- 🕒 Schedule: 24h_5m
- 🌈 Banner: 290/367
🗂️Recent updates (last 5)
| Time (UTC) | Run | SHA | Banner | Event/Actor | Insight |
|---|---|---|---|---|---|
| 2025-12-15 13:16:30 | 5575 | 06162ce |
290/367 (290.gif) | schedule/evgeniimatveev | 📡 DATA • PLATFORMS • VALUE • RUN #5575 — Dark mode dashboards, bright KPIs 🌌 | Start your week strong! 🚀 Monitor, alert, respond — c… |
| 2025-12-14 12:59:17 | 5574 | 6c89c78 |
289/367 (289.gif) | schedule/evgeniimatveev | 📡 BATCH & STREAM IN HARMONY • RUN #5574 — Reduce noise, raise signal 📡 | Prep for an MLOps-filled week! ⏳ Great window for backfills… |
| 2025-12-13 13:00:19 | 5573 | 98d70f4 |
288/367 (288.gif) | schedule/evgeniimatveev | 📡 METRICS OVER MYTHS • RUN #5573 — Plan roadmaps with calm clarity 🧭 | Weekend automation vibes! 🎉 Optimize, deploy, repeat! 🔄 📦 |
| 2025-12-12 13:11:37 | 5572 | addc41f |
287/367 (287.gif) | schedule/evgeniimatveev | 📡 PIPELINES, NOT FIRE-DRILLS • RUN #5572 — Deep work: schema design & contracts ❄️ | Wrap it up like a pro! ⚡ Tighten SLAs, widen ob… |
| 2025-12-11 13:12:52 | 5571 | 803bd1f |
286/367 (286.gif) | schedule/evgeniimatveev | 📡 MLOPS DAILY • RUN #5571 — Reduce Noise, Raise Signal 📡 | Test, Iterate, Deploy! 🚀 Profile Queries, Add Indexes, Save Compute 💸 🌇 |
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: 📡 DATA • PLATFORMS • VALUE • RUN #5575 — Dark mode dashboards, bright KPIs 🌌 | Start your week strong! 🚀 Monitor, alert, respond — calmly 🧭 🌙
📈 Auto GitHub Insights (UTC · auto-refresh)
