Learning by building. Testing ideas. Understanding systems.
About the journey
This repo is the digital home for my learning in public journey, automation experiments, hardware prototypes, and developer portfolio. It shows the moments when I chose to learn faster, build stronger, and share honestly.
Read my life story, explore the lab, or connect through the full social hub.
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- Active learning through experiments, prototypes, and iterations
- Engineering practice with automation, APIs, and system design
- Visible progress through diagrams, logs, and project summaries
Learn → Test → Build → Repeat
- AI agent orchestration and prompt workflows
- Git-based automation, webhook pipelines, and n8n
- Hardware interfaces, sensors, serial telemetry, and device feedback
- System architecture, request flow, and integration design
| Project | Why it matters | Stack |
|---|---|---|
| Life Logger | Telegram → Git logging, audit-ready automation | Python · Node.js · GitHub API · webhooks |
| Auto Contribution Bot | GitHub Actions and repo workflow automation | GitHub Actions · scripting · CI/CD |
| Birthday Bloom | frontend interaction, motion, emotional UI | HTML · CSS · JavaScript |
| CODE | browser IDE prototype for AI-assisted development | JavaScript · AI APIs · tooling |
| NS Fin | finance dashboard with research-focused data flows | APIs · visualization · analytics |
Browser → Server → API → Device → Feedback
- Smart Device Dashboard
- Experiment Control Panel
- Hardware + Software Bridge
- AI + Automation Lab
- Learning Sandbox
- device communication and sensor telemetry
- basic electronics, signal mapping, and control loops
- building small IoT concepts with web interfaces
- automation flow: trigger, parse, commit, monitor
- AI flow: input, orchestration, output
- focus on real behavior over polished stories
- Today: upgraded repository into a living lab with new visuals, system diagrams, and a cleaner structure.
- This week: added hardware and system architecture diagrams, merged duplicate docs, and refocused the portfolio on active experimentation.
- Next: wire a device dashboard concept, add real telemetry prototypes, and capture failure lessons in the log.
- removed old duplicate documentation
- centralized learning and experiment notes into a single portfolio
- upgraded README with visual storytelling and system cards
- added real architecture visuals for automation and hardware
“This repo is a public lab of honest learning, practical automation, and real hardware experiments.”
- learning in public with visible progress
- open experiments that invite feedback and improvement
- designed for practical use, not just polished examples
- Smart Device Dashboard with real-time controls
- Experiment Control Panel for simulation and replay
- Hardware + Software Bridge for sensor-driven apps
- AI + Automation Lab with chaining and observability
- Learning Sandbox for repeatable experiments
- not every experiment is a finished project
- broken automations reveal assumptions faster than success
- hardware timing issues require data validation and buffering
- public learning is stronger when failures are documented
- Explore: build systems, not only features
- Prototype: test quickly with real inputs
- Deploy: make workflows observable and stable
- Improve: learn from usage and failures
- Scale: move from demos to architecture
See the full timeline in LEARNING_TIMELINE.md
| Metric | Value |
|---|---|
| GitHub repo | naborajs/who-is-naboraj-sarkar |
| Last commit |  |
| Followers |  |
| License |  |
| Channel | Handle |
|---|---|
| GitHub | @naborajs |
| Telegram | @Nishantsarkar10k |
| nishant.ns.business@gmail.com | |
| +91 8900653250 | |
| Social Hub | All public platforms |
developer portfolio · student developer journey · learning in public · automation experiments · hardware prototypes · AI workflows · system architecture · open source learning
Learn. Test. Build. Repeat.