About Awais

I was born & raised in New Hampshire. Studied computer science at Suffolk University in Boston, Massachusetts. It was senior year of college where I started exploring the entrepreneurial world. Senior year I interned at my first start up at Blue Bonnet Data . It was also senior year I started exploring blockchain and bitcoin. After college I started my career working as a Software Engineer at Fidelity Investments. Outside of worked I have spent time doing work for other startups. I have been learning about cryptocurrency, NFTs and Web 3.0, but mainly Web 3.0 development. Right now I am a free lance developer specializing in Web 3.0 development for startups that are in this space. I want to help many startups build out the next generation of decentralized web applications on the blockchain. I'm excited to do work this in space and help it grow.

Career

Fidelity Investments

Full-stack web developer working in the Health Savings Account (HSA). Developing the administration apps for our HSA clients so they can set the rates & contributions for their employees. I have been working on migrating Java based web apps to Graph QL & Vue JS stack. My day to day consists of working with UI/UX designers to improve our user experiences and making it more accessible. Building new features from both the client and server side. I utilize AWS tools like Lambda, EFS & EKS to deploy and host these applications in the cloud.

NodPay

NodPay is a FinTech startup building a digital payment application for the people of Pakistan. I mainly worked as a back end Node JS developer that developed the REST services through Express framework. I integrated security and authentication through FireBase. Deployed and configured the REST services on EC2 server.

Blue Bonnet Data

Blue Bonnet Data is a political tech startup providing software for local campaigns. I worked as a Data Analysis that provided insights utilizing python to clean voter data and create visuals with matplotlib library. I also worked as web developer creating a visual voter map with R Shiny framework.

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