• Algorithm design & analysis, Advanced operating systems, Computational Intelligence
• Artificial neural networks, Pattern classification, Data Mining, Information retrieval

• Digital Logic Design, Computer Organization, Basic and Discrete Math
• C Programming ,Web, Advanced Java and Data Structure & Algorithms and DBMS
• Data communication & computer networks, Advanced Internetworking, Computer Graphics, Operating systems
• Minors: Accounting, Business Strategy, Economics

Developed Firmware for IoT devices and MQTT servers

• 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 time series dataset obtained from sensors of smartphone feeding into Machine Learning pipeline with federated learning for mental stress recognition

• 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
• Used Hotspot/Bluetooth stack for device provisioning 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 e-commerce homepage, product showcase, search, and categories
• Order and Inventory Management in the backend
• Hosted at https://mrenterprises.com.np

Chatbot-styled note-taking, daily event 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

School-to-school awareness program for cybersecurity best practices and concerns among students