[ 001 // R&D HARDWARE & FIRMWARE LAB ]

laboratory

Exploratory R&D prototypes, TinyML edge model quantization on ESP32 microcontrollers, high-frequency MQTT brokers, and adaptive low-power telemetry drivers.

PrototypeQ1 2026

Neural Edge ESP32 Classifier

Edge AI

TinyML model quantization compiled directly onto the ESP32 microcontroller dual-core chip. Classifies vibration & acoustic signals locally without requiring cloud roundtrips.

Telemetry Specifications:

Memory Footprint

84 KB RAM

Inference Time

4.2 ms

Offline Accuracy

97.3%

TinyMLESP32C++Edge AITensorFlow Lite

LiveQ4 2025

High-Frequency MQTT Mesh Broker

Distributed Protocol

Distributed micro-broker pipeline handling 50,000 sensor telemetry messages per second over WebSockets & MQTT with dynamic payload compression.

Telemetry Specifications:

Message Throughput

50k/sec

P99 Latency

1.8 ms

Packet Loss

0.00%

MQTTGoWebSocketsTimescaleDBProtobuf

ResearchQ2 2026

Adaptive Hardware Power Governor

Embedded System

Dynamic frequency scaling and power gating driver for battery-powered remote IoT sensors, extending field operational lifespan by 300%.

Telemetry Specifications:

Sleep Current

5 µA

Battery Extension

3.2x

Duty Cycle

0.1%

Low PowerFreeRTOSDeep SleepLiFePO4C++

[ 002 // REST & OTA FIRMWARE API DIRECTORY ]

api endpoints

Live serverless microservices powering hardware provisioning, over-the-air firmware binaries, and Gemini AI companion dialogue.

GET/api/devices/firmware/latest

Delivers latest Over-The-Air (OTA) binary payloads to ESP32 microcontrollers

POST/api/devices

Registers new edge hardware nodes and parses active MQTT sensor telemetry streams

POST/api/chat

Processes streaming XenAI dialogue powered by Google Gemini AI runtime

GET / POST/api/admin/data

Fetches CMS configuration, syncs to MongoDB Atlas, and handles client inquiry dockets