A comprehensive UX case study utilizing iterative design principles and extensive user research to create a Point-Of-Sale System for restaurants. The project involved conducting user interviews, creating detailed personas, developing low-fidelity wireframes that evolved into high-fidelity Figma prototypes, and performing usability testing with real users. Multiple design iterations were made based on feedback to optimize the user experience for both restaurant staff and customers.

Conducted user interviews and created detailed personas

User Research

Low-fidelity wireframes to high-fidelity prototypes in Figma

Wireframing

Iterative testing and refinement based on real user feedback

Usability Testing

Iterative Design

Implemented a Tensorflow version of the Molecular VAE paper for automated molecular design. Trained on a dataset of 250,000 molecular graphs from the ZINC database, this deep learning variational autoencoder learns to encode molecular structures into a continuous latent space, enabling the generation of novel drug-like molecules. The model facilitates faster drug development by allowing researchers to explore chemical space more efficiently and generate molecules with desired properties.

Encodes molecular structures into continuous latent representations for generation

Variational Autoencoder

Trained on 250,000 molecular graphs from the ZINC database

Large Scale Training

Generates novel drug-like molecules by sampling from latent space

Molecule Generation

Python

TensorFlow

NumPy

Molecular Variational Autoencoder

Developed a small-scale multithreaded backend server capable of receiving and transferring imaginary funds, similar to Venmo. Built in C and C++, the server handles concurrent client connections using threading, implements secure transaction processing, and maintains consistent account balances across multiple simultaneous operations. Features include user authentication, transaction history, and thread-safe data structures for handling race conditions.

Handles multiple concurrent client connections using threading

Multithreaded Architecture

Secure fund transfers with balance verification and transaction logging

Transaction Processing

Implements mutexes and locks to prevent race conditions

Vunmo

Overview

Key Features

Multithreaded Architecture

Transaction Processing

Thread Safety

Tech Stack

Project Info

Contribution