Adam Troxell

Full-Stack Engineer • Former CTO • IoT / Platform Builder

Recent Engineering Impact

Sole engineer and CTO for a production IoT platform deployed across 2 commercial sites
Designed and operated real-time telemetry ingestion for 50+ active sensors
Implemented automated alerting with notifications delivered in under 2 minutes
Built React dashboards backed by FastAPI and PostgreSQL/TimescaleDB
Deployed and operated infrastructure across OCI, Fly.io, and Vercel

Technology Stack

Frontend: React, Redux, Bootstrap
Backend: FastAPI, Node.js, Express
Data: PostgreSQL, TimescaleDB
Infrastructure: OCI, Fly.io, Vercel
Languages: Python, JavaScript

About Me

Hi, I'm Adam Troxell, a hands-on full-stack engineer and former CTO who builds production systems end to end. Most recently, I served as the sole engineer at RJ Energy Solutions, designing and deploying a real-time IoT platform across 2 commercial sites with 50+ sensors, including ingestion, alerting (under 2 minutes), dashboards, and production operations. I build pragmatic software that's reliable, maintainable, and aligned with real user needs, drawing on a background in technical support, solutions ownership, and customer-facing leadership. I'm currently focused on roles where I can own meaningful problems across backend, platform, and product engineering and ship systems that deliver real-world impact.

Projects

Dart Solutions Platform

Real-time IoT monitoring platform for commercial facilities

Built as sole engineer and CTO at RJ Energy Solutions—a production system delivering real-time sensor telemetry, automated alerting, and operational dashboards for commercial facilities across two sites and 50+ active sensors.

Dart Solutions Platform architecture diagram showing LoRa sensors, ChirpStack, backend API, database, and dashboard

High-level architecture of the Dart Solutions Platform IoT data pipeline

Production Grafana dashboard showing real-time sensor telemetry, cost tracking, and multi-sensor health monitoring

Production monitoring dashboard: real-time sensor data, cost tracking, and operational metrics

Problem

Client needed real-time visibility into distributed industrial equipment with immediate alerting on critical conditions. Existing tools required manual monitoring and lacked multi-site coordination.

Constraints

Multi-tenant architecture from day one
Sub-2-minute alert latency requirement
LoRaWAN codec complexity for multiple sensor types
24/7 uptime expectations on production sites

Key Engineering Decisions

ChirpStack for LoRaWAN gateway management and sensor orchestration
FastAPI for low-latency webhook processing and API endpoints
TimescaleDB for time-series optimized sensor data storage
Webhook-based alerting for immediate notification delivery

Results

Deployed across 2 commercial sites with 50+ active sensors
Alerts delivered in under 2 minutes from sensor transmission
Zero downtime during production rollout
Multi-tenant dashboard supporting multiple customer organizations

What I Owned

Platform architecture • Sensor integration (LoRaWAN codecs for Dragino devices) • Real-time data ingestion pipeline • Alert rule engine and notification system • Customer-facing React dashboards • PostgreSQL/TimescaleDB schema design • ChirpStack configuration and gateway management • Deployment pipeline (OCI, Fly.io, Vercel) • Production monitoring and incident response • Multi-tenant data isolation

Stack

Frontend: React, Redux
Backend: FastAPI (Python)

Data: PostgreSQL, TimescaleDB
Infrastructure: OCI, Fly.io, Vercel

Request Details Contact Me

Note: This is a production system serving live commercial customers. Code and detailed artifacts available upon request.

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WanderWise

A trip planning application designed to consolidate scattered travel workflows—itineraries, packing lists, and location tracking—into a single organized interface.

Engineering Focus

State management for nested data structures (trips → locations → checklist items)
Real-time filtering and search across complex itinerary data
Normalized PostgreSQL schema for relational trip planning entities
Map integration for location persistence and visualization

Stack: React, Redux, Express, Node.js, PostgreSQL

WanderWise itinerary interface showing multi-day trip planning with nested activities, map locations, and collaboration features

Multi-day itinerary planner with collaborative trip management and location tracking

Live Demo

Energy Audit Portal (Proof of Concept)

Replaced a manual Google Sheets workflow for tracking facility equipment audits, cost analysis, and carbon footprint calculations with a structured multi-stage review pipeline.

Engineering Focus

Multi-stage approval pipeline (draft → review → approved)
Role-based permissions and access control (Passport.js)
Data validation rules and input constraints
PDF report generation from audit data

Impact

Transformed a 2-day spreadsheet-based audit process into a real-time structured workflow with audit trails and automated report generation.

Stack: React, Redux, Express, Node.js, Passport.js, Material UI

Energy Audit Portal showing completed facility audit with automated carbon footprint calculations, cost analysis, and generated recommendations

Completed audit report with automated calculations, multi-stage approval workflow, and generated recommendations

GitHub

Projects

Dart Solutions Platform

Problem

Constraints

Key Engineering Decisions

Results

What I Owned

Stack

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WanderWise

Engineering Focus

Energy Audit Portal (Proof of Concept)

Engineering Focus

Impact

Contact me