BUILD
Production-grade systems designed to endure.
SOLVE
Real problems with deliberate solutions.
THINK
Deep understanding before code.
SHIP
Products that matter. No excess.
Forged in code. Bound by standards.
BUILD
Production-grade systems designed to endure.
SOLVE
Real problems with deliberate solutions.
THINK
Deep understanding before code.
SHIP
Products that matter. No excess.
Forged in code. Bound by standards.
ESP32-based embedded system integrating real-time biomedical sensing (PPG, LM35, MAX30102) with cache memory simulation (Direct, Fully Associative, Set-Associative mapping). Includes firmware source, hardware schematics, and cache theory documentation.
Diffusion-based models can learn and generate structural patterns from biomaterial datasets. The combination of generative modeling and structural interpretation provides a meaningful approach for analyzing material structures using machine learning.
Custom-built filesystem for microcontrollers that manages how data is stored on an SD card. Unlike regular filesystems that just blindly write data to the next available block, SmartFS watches what kind of writes are happening in real-time and automatically picks the best storage strategy using a tiny machine learning model running directly on the
Classify mental workload levels (High, Medium, Low) using EEG analysis (Alpha, Beta, Theta bands). Automate EEG data extraction, spectral analysis, and classification using Python and visualize cognitive load trends across subjects and sessions
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