Bryan Grissom
projects · builds · experiments

Field-tested tinkering.
Practical automation.

I build end‑to‑end tech projects that blend hardware, software, and data — from in‑the‑field IoT deployments and automation to bots, AI experiments, and security‑minded services. Some projects are telemetry-heavy (sensors → logs → dashboards → alerts), while others are fully autonomous physical systems — like an Arduino-controlled model railroad crossing with automated gate arms, LEDs, and sound that runs hands‑off. The common thread is reliability, clear observability, and clean interfaces people can actually use. The full writeups live in Projects.

Python Flask / APIs Linux/Ubuntu MySQL / Logging IoT / Edge Bots / Automation AI / ML Security / Observability
$ cd ~/projects
$ ./launch.sh

Mission

Build systems that are simple, resilient, and observable: signals → logs → dashboards → alerts → action. Whether it’s a field deployment, a bot integration, or an AI workflow, I value clean architecture, good documentation, and outcomes you can verify.

$ current_focus
✓ field telemetry + automation
✓ bots, APIs, and integrations
✓ security + monitoring fundamentals
✓ ML experiments for smarter decisions
✓ reliable data collection
✓ clear dashboards + reporting
✓ automation + anomaly detection

⚡ Featured work

The project hub is the best overview. My work spans practical field systems, autonomous hardware builds, software tooling, bots/integrations, and applied AI/security experiments:

Project index bryangrissom.com/projects Autonomous Railroad Crossing Arduino · servos · LEDs · sound Field monitoring & IoT telemetry · alerts · dashboards Automation, bots & integrations APIs · workflows · notifications AI experiments & applied ML models · inference · data pipelines Security & observability hardening · logging · monitoring

🧰 Capabilities

  • Autonomous embedded builds (Arduino/Pi): motion, actuators, lights, sound
  • Sensor ingestion + structured logging (local or hosted)
  • Dashboards that non-technical users can read quickly
  • Automation workflows, bots, and API integrations (notifications, command routing)
  • Applied AI/ML experiments (inference, classification, pipelines)
  • Security & observability basics: least-privilege, segmentation, audit-friendly logging
  • Documentation-first builds: repeatable, testable, transferable

✉ Contact

For collaboration, opportunities, or “how did you build that?”:

Email: bryangrissom42@gmail.com
YouTube: @bryangrissom42

$ availability
open to: projects · contract · full-time