The Engineer Behind
the Work
Bio, technical stack, education, and the tools I build with — from firmware to applied ML.
IOE, TU
Shipped
& Grants
Leadership Posts
I'm a fourth-year Electronics, Communication & Information Engineering student at Kathmandu Engineering College, IOE, Tribhuvan University — working at the intersection of embedded systems, applied machine learning, and the kind of robotics that actually has to run outdoors.
I'm a Fuse AI Fellow (Fusemachines, 2026 cohort), having built an agentic Text-to-SQL pipeline, tree-based ensemble models with SHAP explainability, Bayesian inference workflows in PyMC, and a full customer-segmentation pipeline (K-Means/Hierarchical/DBSCAN) on the UCI Online Retail II dataset. My capstone, BiasAperture, is a vision-model fairness & bias audit tool — a diagnostic layer that flags demographic performance disparities in deployed classifiers without retraining them. In parallel, I'm an NSSR DataCamp Fellow (Cohort 2), progressing through SQL Associate and Python Data Associate certification tracks after completing six applied GenAI projects in Phase 1.
For my BEI major project, SPARK, I lead the embedded & ML architecture within our four-person team — engineering a two-layer, fully on-device fall-detection wearable with an explainable gateway pipeline for eldercare (an MPU6050 IMU feeding a threshold gate and a TFLite Micro CNN on-device, paired with SHAP-attributed alerts and clinical-format incident reports at a Raspberry Pi 4B gateway). Beyond the bench, I serve as Vice Chair of the IEEE KEC KTM Student Branch and Event Manager at the Electronics Project Club, and volunteer as a Makerspace Ambassador running the club's web infrastructure.
Tools I Reach For
Domain Competency Radar
Interactive Skill Radar
6-Axis Breakdown of Engineering Competency, Toolstacks & Signal Processing
Where I Learned This
What's in the Toolbox
What's on the Itinerary
Public schedule — events may be added or removed at any time. All times are NPT (UTC+5:45).
Frequently Asked Questions
Who is Aaradhya Dev Tamrakar (ADT)?
Aaradhya Dev Tamrakar (known as ADT) is an Electronics, Communication & Information Engineering student at Kathmandu Engineering College, IOE. He is a Fuse AI Fellow, NSSR DataCamp Fellow, and IEEE KEC KTM Vice Chair.
What does ADT specialize in?
ADT builds intelligent systems at the intersection of embedded firmware (C/C++), robotics, machine learning (Python/PyTorch/scikit-learn), Edge AI (ESP32-S3), and web backends (FastAPI).
What is the SPARK project?
SPARK is ADT's major BEI engineering project — an IoT fall-detection wearable featuring an ESP32-S3 microcontroller, MPU6050 IMU sensor, and on-device ML inference for real-time safety monitoring, developed with a four-person team.
Where is ADT based?
ADT is based in Kathmandu, Nepal, pursuing his Bachelor's degree at Kathmandu Engineering College, affiliated with the Institute of Engineering (IOE), Tribhuvan University.
What fellowships and roles does ADT hold?
ADT is a Fuse AI Fellow (Fusemachines), NSSR DataCamp Fellow, Vice Chair at IEEE KEC KTM Student Branch, EPC Event Manager, and KEC Makerspace Ambassador.
How can I contact ADT?
Reach out via the Contact Page, email aaradhyadevtmr@gmail.com, or via LinkedIn and GitHub (@AaradhyaDT).