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SPC56
July 19, 2018 – August 21, 2018
Porting a for SPC56xx PowerPC application from a HI-TECH compiler based IDE to Green Hills compiler (similar to GCC but not quite)
View ProjectneuralDuino
December 11, 2016 – June 1, 2025
The only dynamic and reconfigurable Artificial Neural networks library with back-propagation for arduino
View ProjectECG_PPG-DataLogger
July 23, 2016 – August 21, 2016
The SerialData Logger for the Attiny85_ECG_PPG project.Written in C++ since Processing/Java was slower and couldn't handle high speed data
View ProjectArduino_STM32
June 15, 2016 – August 21, 2016
Making STM32 great again!! LOL #Contributors requested#
View ProjectRF24BLE
April 28, 2016 – November 17, 2018
RF24BLE is the library that makes an nrf24L01+ chip (1$) into a BLE advertising beacon and can be used for LOW payload advertising like sensor data etc.
View ProjectWiFi_storage
April 8, 2016 – April 8, 2016
A wireless storage device in development using the ESP8266 and an SD card
View ProjectMetMeasure
February 19, 2016 – February 21, 2016
Active occupancy detector modules that can detect the density of people in a closed environment qualitatively and then communicate that with other partnering nodes to thereby control the crowd in an efficient manner
View ProjectAttiny85_ECG_PPG
February 16, 2016 – October 11, 2016
Attiny 85 and an analog interface of the ECG and PPG sensors to monitor blood pressure , heartrate continuously without the bulky blood pressure machines and its cuffs
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on embedded systems and hardware. While there is one machine learning project, the overall portfolio does not strongly align with a typical 'Data Scientist' role which usually requires more experience in statistical modeling, data manipulation, big data technologies, and specific ML frameworks (Python/R, TensorFlow/PyTorch). The candidate's passion for hands-on, low-level development might indicate a preference for roles with a strong engineering component.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.