Sanim Kumar Khatri SanimKumarKhatri

Electronics engineer & Lecturer | Embedded ML, edge AI & RF/antenna design

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Overview Repositories 10 Projects Packages Stars 3

Overview
Repositories
Projects
Packages
Stars

SanimKumarKhatri/README.md

Hi, I'm Sanim Kumar Khatri

Electronics engineer building hardware-to-ML pipelines for embedded sensing, health-IoT, and AI-driven RF design. First-author published research in embedded fall detection.

My work spans the full stack, PCB design and firmware up through model training and on-device deployment. Currently extending that foundation into computational electromagnetics and AI-accelerated antenna design.

🔭 What I'm working on

Wearable health-IoT: embedded ML for real-time sensor data (fall detection, activity recognition)
AI-driven RF/antenna design: reinforcement learning for antenna optimization (see rl-dipole-tuning)

🔍 Open to

Research collaboration in embedded AI, intelligent sensor systems, and AI in RF design optimization. Particularly interested in machine learning for resource-constrained platforms and AI-accelerated hardware design.

📄 Publication

Khatri, S. K., Parajuli, D., Mane, P. M., Chaulagain, B., & Thapa, S. (2026). Fall Detection System for Elderly People Using LSTM. Journal of Engineering Issues and Solutions, 5(1), 210-220.

🎓 Background

Bachelor in Electronics, Communication & Information Engineering, Pulchowk Campus, Institute of Engineering, Tribhuvan University (First Division with Distinction). Registered Engineer, Nepal Engineering Council.

🧭 A few projects to start with

Project	What it is
rl-dipole-tuning	RL environment wrapping NEC2 for automated dipole antenna resonant-frequency optimization
Fall-Detection-System	Wearable fall-detection device + double-layer LSTM model (97.8% accuracy) - collaborative project; companion code to the publication above; designed the wearable PCB, collected the training dataset
Startracker-Simulator-for-Attitude-Determination-of-Spacecrafts	Synthetic star-image simulator and visualization layer for spacecraft attitude determination - collaborative project; built the image generation & visualization layer

🛠️ Tech Stack

Languages: Python C/C++ VHDL
Embedded: STM32 ESP32 RP2040 ML/DL: PyTorch TensorFlow
Hardware: KiCAD NEC2
Cloud/Dev: AWS Git Linux

📫 Find me

Website . LinkedIn . sanimkhatri5@gmail.com

Pinned Loading

rl-dipole-tuning rl-dipole-tuning Public

A lightweight RL environment wrapper around NEC2 for automated dipole antenna resonant frequency optimization.

Python
Fall-Detection-System Fall-Detection-System Public

Forked from DevPro13/Fall-Detection-and-Alarming-Sys

Wearable fall-detection device with double-layer LSTM (97.8% accuracy), companion to published research

Python
Startracker-Simulator-for-Attitude-Determination-of-Spacecrafts Startracker-Simulator-for-Attitude-Determination-of-Spacecrafts Public

Forked from DevPro13/Startracker-Simulator-for-Attitude-Determination-of-Spacecrafts

Synthetic star-image simulator and visualization layer for spacecraft attitude determination

Python
Sante-Lague Sante-Lague Public

Web-based election seat allocation calculator using the Sainte-Laguë method

JavaScript 1
Computer_Graphics_project Computer_Graphics_project Public archive

C++
IOT_Streaming IOT_Streaming Public

C-based IoT sensor data streaming firmware

C 1

SanimKumarKhatri (Sanim Kumar Khatri) · GitHub