Previous associations that helped to gather experience
Developed a scalable, low-cost vibration monitoring system for pipeline monitoring.
Mainly worked on the collector/aggregation module that collected raw accelerometer data from the sensor nodes over Bluetooth BLE 5.2. Extracting the most prominent frequencies using FFT. Then sending the extracted features to a cloud database over 4G/5G cellular connection.
ALL THINGS ARE DIFFICULT BEFORE THEY ARE EASY
MyWS is my personal homelab where I do most of my work on and host some private and public web services.
This was a grad/undergrad hybrid course where we’ve built differential drive robots called duckiebots to learn about and gain hands-on experience on mobile robotics
This is my collection of lecture notes that is typeset to look like a Dungeons and Dragons guide book.
Hello, I am a second year Master in Computing Science student that is currently focusing on developing low-cost, scalable sensors for pipeline monitoring.
I’ve worked in both private and academic research institutions during my undergraduate program from developing a ML-guided performance prediction model for LLVM-IR, to developing a real-time occupancy flow and recognition algorithm for a low resolution infrared camera.
In addition to my experience above. I worked as a teaching assistant for a year for an introductory computing course for computer science and engineering students teaching introductory programming and algorithms in Python and C++. I was also a teaching assistant for an operating system course for one semester.