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Works
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Research
Enhancing Usability and Reliability in Digital Payment Platforms: Overcoming the Adoption Challenges
Kathmandu University
Taylor & Francis
May 2023
Accepted
Peer‑to‑Peer Offline Payment Protocol for Mobile Devices
Kathmandu University
TBD
May 2023
Under Work
Baghchal: An Augmented Q‑Learning Approach to Turn‑Based Heterogeneous Multi‑Agent Systems
Kathmandu University
TBD
May 2023
Under Review
Projects
Aarya Pay
An Offline Peer-To-Peer Payment Protocol
Seamless transitions between offline and online transactions
Cryptographically secure payment and instant validation
QR based payment with payload compaction
Robust client side caching and syncronization mechanism
Multi-stage CI/CD pipeline for automated testing and deployment
Go
Traefik
PostgresSQL
Redis
Grafana
Flutter
Dart
Norma
A Reinforcement Learning Model for Baghchal
Trained a deep reinforcement learning agent to play the game of Baghchal.
Implemented the agent using the Proximal Policy Optimization algorithm.
Developed the agent using the PyTorch library.
Python
PyTorch
TypeScript
Rust(PyO3)
React
Keras
FastAPI
Sikshyalaya
An Online Learning Platform for Web and Mobile
Easy exchange of educational materials through resource sharing features.
Assignment submission and grading system for efficient evaluation of students.
Real-time communication and collaboration through live class chatroom.
Secure passwordless authentication through QR codes.
Python
FastAPI
PostgresSQL
Redis
Nginx
Docker
Github
Linkedin
© 2024 Aatish Shrestha