OPERATIONS DIRECTIVE: Engineering systems that guarantee operation when conventional networks fail. Bridging raw embedded hardware sensors with enterprise cloud gateways to drive real-time GIS navigation and emergency dispatch.

The core blueprint details the hybrid network design. When cellular infrastructure fails, the system automatically falls back to an offline multi-hop LoRa mesh network, ensuring coordinate data and patient biometrics propagate to dispatch terminals.

Rather than a simple wall of logos, my technology stack is organized by structural responsibility in the systems stack:

[EMBEDDED EDGE LAYER]
  ├── Core MCU    :: ESP32 / ESP8266 / Arduino RTOS
  ├── Telemetry   :: GNSS / GPS L1/L5 Epoch Tracker
  ├── RF Mesh     :: LoRa (868MHz / 915MHz ISM) / SX1276
  └── Sensors     :: BLE Biometrics (ECG, Heart Rate) / I2C / SPI

[ROUTING & GATEWAY]
  ├── Bridges     :: MQTT / WebSockets / HTTPS Proxy
  ├── Local Cache :: SQLite Buffer (Encrypted local storage)
  └── Cellular    :: SIM7600 4G LTE Fallback

[DISTRIBUTED CORE]
  ├── Application :: Django / FastAPI / Laravel
  ├── Sockets     :: Django Channels / WebSockets
  ├── Task Queue  :: Celery / Redis
  └── Database    :: PostgreSQL (Multi-AZ Cluster / PostGIS)

[INFRASTRUCTURE & ORCHESTRATION]
  ├── Container   :: Docker / Containerd
  ├── Orchestrator:: Kubernetes (k8s)
  ├── Host Devs   :: AWS / Cloudflare / Nginx
  └── Monitoring  :: Prometheus / Grafana / Telemetry Logs

[HUMAN INTERFACES]
  ├── Mobile App  :: Flutter (Dart) Android & iOS
  ├── Web Panel   :: React / Vite (TypeScript)
  └── UI & Styling:: Material UI (MUI) / CSS

Jan 2025 – July 2025

• Edge GPS Tracking: Engineered firmware for ESP32 devices to collect GNSS/GPS workout data and store it locally on SD cards with custom file system operations.
• Wireless Sync: Implemented Wi-Fi upload protocols to synchronize local binary telemetry records to cloud servers.
• Mobile Integration: Designed and implemented an HTTP API allowing a Flutter client app to manage device recording states, storage allocations, and memory flushes.

2025 – Present

• Cloud Orchestration: Developed and deployed a Laravel + React application to DigitalOcean using Docker and Kubernetes clusters.
• Chaos Engineering: Introduced failure injection, latency simulation, and node-kill experiments to validate high availability.
• Automation Pipelines: Automated operational workflows via CI/CD pipelines (GitHub Actions, GitLab CI) and Infrastructure-as-Code.

2023 – Dec 2024

• BLE Integration: Bluetooth Low Energy (BLE) integration specialist for horse training telemetry applications using Flutter Blue.
• Data Pipelines: Designed processing and validation pipelines for real-time speed, distance, and athletic metrics.

12/2021 – 12/2023

• Platform Coordination: Led development of the Flutter mobile application alongside three React-based management dashboards.

12/2020 – 05/2023

• Video Architecture: Engineered a high-performance video-sharing application using Flutter and Python APIs hosted on AWS.
• Database Optimization: Reduced AWS RDS database costs by optimizing queries, restructuring schemas, and implementing connection pooling.

07/2019 – 11/2019

• Health Information Systems: Worked with DHIS2 creating pivot tables and data aggregation systems for hospital metrics.
• Child Protection (CPIMS): Contributed to the enhancement of the Child Protection Information Management System supporting infant data tracking.

I deploys custom peer-to-peer mesh routing protocols that propagate signals over multiple hops without requiring active cell towers or internet connections.

• Scope: Emergency Medical Response & Real-Time Navigation Fleet.
• Problem: Coordinating response teams requires high-precision coordinate routing, high-throughput telemetry pipelines, and resilient message routing.
• Solution: Engineering a microservices-based real-time dispatch and fleet tracking platform. Utilizes FastAPI microservices connected via Apache Kafka for event-driven telemetry distribution, Redis caching, MinIO object storage for media/logs, and a unified reverse proxy entry point. Renders live tracking on Leaflet maps with React/MUI frontends.
• Status: 🔵 ACTIVE_DEVELOPMENT | Stack: FastAPI Kafka Leaflet Material UI (MUI) Redis PostgreSQL MinIO Reverse Proxy Microservices

• Scope: Complete Enterprise Inpatient & Outpatient Management Portal.
• Problem: Streamlining hospital check-ins, triage queues, inpatient ward allocation, and patient billing requires high data integrity and robust UI.
• Solution: Designed a centralized clinical panel handling inpatient admissions, outpatient registry queues, billing accounting ledgers, and check-in triage. Built with high-fidelity React interfaces utilizing Material UI (MUI), backed by Django REST APIs and Kubernetes scaling.
• Status: 🟢 PRODUCTION_ACTIVE | Stack: React Material UI (MUI) Django PostgreSQL Kubernetes

• Scope: Offline GPS coordinates mesh network transmitter.
• Problem: Search and rescue or emergency services lack cell network links in remote environments.
• Solution: Engineered a low-power ESP32 firmware running an adaptive mesh routing algorithm. Broadcasts telemetry via SX1276 LoRa transceivers. Syncs coordinates using multi-constellation GNSS channels with battery optimization for 48 hours of transmission.
• Status: 🟣 ACTIVE_FIELD_TESTING | Stack: ESP32 C++ LoRa GNSS BLE RTOS

1. Offline-First Resilience
   • Philosophy: If a system cannot function without an internet connection, it is a liability in critical environments. All edge nodes must buffer, encrypt, and spool data locally until a secure uplink is established.
2. Telemetry is Ground Truth
   • Philosophy: Unmonitored code is broken code. Every microservice, ESP32 thread, and database transaction must emit structured heartbeat signals and telemetry.
3. Graceful Degradation
   • Philosophy: Systems should fail step-by-step. If the cellular network drops, transition to LoRa mesh. If the mesh fails, store to SD card. If the battery is critical, throttle transmit frequency. Never crash.

I leverage artificial intelligence as an active co-pilot in systems design and firmware optimization:

• Firmware Simulation: Using AI to simulate edge failure states, battery depletion curves, and memory leaks in C++/RTOS code before flashing hardware.
• Telemetry Analysis: Employing machine learning models to detect anomalies in real-time biometric and GNSS coordinate streams.
• Infrastructure Synthesis: Accelerating Kubernetes manifest generation and database query indexing optimization.

A look at the trajectory of designing, engineering, and scaling critical physical and digital infrastructure.

A simulated readout of the diagnostic sequence on startup across engineering nodes:

Connect with Me for systems engineering, microservices orchestration, or embedded edge design:

_{Designed & engineered by Clinton Agoo. Built for high-reliability systems. 🚀}