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[ Vol. 05 · Issue 07 · Embedded Intelligence ]
Lakshitha
“
True innovation doesn't reside in the cloud. It breathes within the very silicon and circuitry that interacts with our physical world.
// Systems Architecture// TinyML Models// Sensor Fusion
Selected Works
01
Autonomous Nav Module
View Research
02
Edge Vision Identifier
View Research
03
Neural Signal DSP
View Research
Data / Metrics
15ms
Inference Latency
Real-time AI on constrained Cortex-M4 hardware, bypassing cloud latency.
100+
Models Quantized
Compressed complex neural networks to fit extremely constrained SRAM.
80%
Power Reduction
Firmware sleep-states extending IoT battery lifespans on edge nodes.
500+
Custom PCBs
Board layouts optimized for signal integrity across ML hardware pipelines.
[ Initiate Contact ]
“Engineering the quiet intelligence inside physical things.”
Open for micro-ML architecture, Software-Defined Vehicles, firmware audits, and research partnerships.