Aaradhya Dev Tamrakar
4th
Year at KEC
IOE, TU
15+
Projects
Shipped
2
Fellowships
& Grants
8
Roles &
Leadership Posts
Download CV ↗

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.

Stack

Tools I Reach For

Programming Languages
Python
C / C++
SQL
Kotlin
VHDL
JavaScript / React
Machine Learning
scikit-learn / Pandas
XGBoost / SHAP
Clustering (K-Means/DBSCAN)
PyMC / Bayesian Inference
FastAPI / Docker
Embedded & Android
Arduino / MCU
FPGA / Vivado
Jetpack Compose
CameraX / MediaPipe
MPU6050 / ESP32-S3
Radar

Domain Competency Radar

Interactive Skill Radar

6-Axis Breakdown of Engineering Competency, Toolstacks & Signal Processing

AI/ML & GenAI 94%
Transformers, PyTorch, Agentic AI, RAG Pipelines, SHAP Explainability, Scikit-Learn
PyTorch Agentic RAG Transformers FastAPI
Embedded C/C++ 90%
FreeRTOS multi-threading, ESP32, STM32, ARM Cortex-M, SPI/I2C/UART bus tuning
FreeRTOS ESP32 C++20 Micro-Controllers
Electronics & PCB 92%
KiCAD Multi-Layer PCB layout, Active analog signal filters, IMU MPU6050 calibration
KiCAD SPARK Analog Circuits PCB Design
Full-Stack Web 88%
Modern JS (ES6+), PWA Offline Caching, Web Audio API synthesis, Web Crypto PBKDF2
JavaScript PWA Web Audio API REST API
Data Science & Omics 89%
Pandas/NumPy, GCSBR high-dimensional biological array modeling, statistical inference
Pandas NumPy GCSBR Bioinformatics
Leadership & Applied Strategy 91%
IEEE event ops & mentorship, security-first risk framing, agile delivery, cross-functional case studies
IEEE Ops Mentorship Security Mindset Agile
Education

Where I Learned This

Bachelor of Electronics, Communication & Information Engineering
Kathmandu Engineering College (KEC), IOE, Tribhuvan University

Year IV / Part I — 7th Semester · Expected graduation January 2027. Current electives: Aeronautical Telecommunication (CNS/ATM, ATC communications, ICAO standards) — aligned with a CAAN Nepal / AAI India JE career target.

Current Coursework
Wireless Communication Artificial Intelligence Organization & Management DSAP RF & Microwave Engineering Aeronautical Telecom Project Part A
Workflow

What's in the Toolbox

Git & GitHub VS Code Jupyter Notebook Google Colab MATLAB LaTeX / Overleaf Docker PostgreSQL Ollama (Local LLM) Vivado
Schedule

What's on the Itinerary

Public schedule — events may be added or removed at any time. All times are NPT (UTC+5:45).

FAQ

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).

Explore

Where to look next