• Developed IoT solutions using ESP32 chips for various embedded applications.
• Engineered web infrastructure for IoT systems, including front-end interfaces and back-end services.
• Managed GitHub repositories and led a team of interns for collaboration and streamlined development.
• Designed and implemented monitoring systems for electrical transformers and solar greenhouses in remote Nepal locations, utilizing sensors for temperature, current, and humidity, with BLE, WiFi, and cellular connectivity.
• Research on ISO-15118 and IEC-62196 compliant AC/DC EV chargers, along with OCPP 2.1 standards for fleet communication.

Master Thesis for recognition of mental pressure among students using in-the-wild dataset obtained from sensors of smartphone and federated learning

• Used time series feature extraction
• Used models like KNN, RandomForest, XGBoost and Neural Network with LSTM and attention
• Used federated learning for privacy preservation and personalization

The ESP32-based rating system is a hardware and software solution designed to gather customer feedback efficiently, transmit it to a server, and analyze the data to improve customer satisfaction.

• Tech stack used: ESPIDF, RTOS, Django, Matplotlib
• Hotspot for device provisining and WiFi for data sync to server using HTTPS
• Django server for data collection and secure dashboard for multi-vendor enterprises with multi-location and multi-area deployment of review devices
• Informative Dashboard with charts for realtime average ratings and statistical information along with historical facts and figures
• More info on: https://electronicsworkshops.com/2024/11/13/esp32-based-review-system/
• Firmware: github.com/Satyamkhadka/coolman_firmware
• Django Server with Dashboard: github.com/Satyamkhadka/happy_or_not_server

Developed a web app to help patients find hospitals based on symptoms and specializations, improving access to medical care during COVID.

• Tech stack used: Django and tailwind
• Admin panel for CRUD operation on Diseases and Hospital
• Disease and Hospital matching search system
• github.com/Satyamkhadka/patient-hospital

• Techstack used: Angular, NodeJs and SQL
• Developed an automated contract pdf generation system based on party profiles, along with a comprehensive dashboard for tracking expenditures, authentication, monitoring progress, and viewing contract statuses.
• Deployed the project with frontend and backend on a server for remote access to all contracts.
• frontend github.com/Satyamkhadka/rgm-ui
• backend github.com/Satyamkhadka/rgm-be

Ecommerce web app as a solo developer

• Tech stack used: Bootstrap, Angular and Firebase stack for NoSql database, authentication and hosting
• Full Ecommerce homepage, product showcase, search and categories
• Order and Inventory Management in the backend
• Hosted at https://mrenterprises.com.np

ChatBot styled note taking, daily events logging and text data storage for self reflection

• Tech stack used: Bootstrap, Angular and Firebase stack for NoSql database, authentication and hosting
• ChatBot to ask for structured information on notes and events to store texts
• Dashboard to view and search information
• github.com/Satyamkhadka/dailyBot