Omar Wasim Email & Phone Number

Chicago, IL, US

• Rare Sense is a Web 3.0 startup that allows creators/celebrities to give their fans access to one-of-a-kind experiences in real life and inthe Metaverse.
• Worked on their core product, Superfandom.io, as a full-stack developer. Used Next.js for both, front-end and back-end, CSS forstyles, Redux for state management, and MongoDB for database management.
• Planned, developed, and maintained multiple full-stack features that allowed admins to manage orders and NFTs.
• Wrote test scripts in Next.js that were used to test server load based on the number of concurrent users. JMeter was used to maintainconcurrency
• Created detailed plans and timelines that work towards the fulfillment of set product objectives.

Islāmābād, Pakistan

• Part of team Waafi which is responsible for building a chat app that is integrated with their main product: a money transfer service app.
• Built the web version of the chat app and worked with the iOS and Android developers to integrate it with the mobile versions of the app.
• Used React, CSS, and Material-UI for the front end and React Hooks for state management.
• Implemented sockets using the Socket.IO library for bi-directional communication between the clients and the servers.
• Handled API requests and sockets in the backend using Node.js and Express.js

Islāmābād, Pakistan

• Developed a dashboard from the ground up that visualizes individual car wash data to make it easier for car wash owners to track how their business is running.
• Used React and CSS for the front end and Redux for state management.
• For the back end, used MongoDB, Mongoose, Node.js and Express.js
• Deployment was handled by AWS EC2 on an NGINX server.
• Converted UI and UX designs to front-end code to create modular components for use throughout the codebase.

San Jose, California, United States

• Enhanced user functionality and user experience on web pages by developing a UI using JavaScript and Vue
• Converted different component designs to front-end code using Vue.js and Vuetify
• Implemented multilanguage support to the entire client facing website using Internationalization (i18n)

San Francisco Bay Area

• Developed and deployed an app called “SmartEats” to the Apple App Store that finds restaurants in the user’s vicinity that meet the user’s budget
• Tracked user and restaurants’ locations on the map using Google Maps API
• Used EatStreet’s API for restaurants’ data and Alamofire for API handling; worked with JSON objects

Valparaiso, Indiana, United States

• Analyzed information in current database to assess and predict customer types
• Created DataFrames using Pandas and visualizations for data interpretation using Bokeh
• Python scripts calculate customers’ age, print cities’ list to check for spelling variations, remove invalid dates, and split data of different customers into separate files