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Schedule Interview NowMy name is Jon W. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: React, JavaScript, PostgreSQL, Next.js, Ruby on Rails, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Novela, Mobile Nom. I am based in Seven Fields, United States. I've successfully completed 2 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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Amazon
As Head of Engineering at Novela, I’ve led all software development for over two years, guiding the platform’s evolution from an early low-code proof of concept into a fully custom, scalable wedding marketplace. I’ve driven efficiency by adopting AI-assisted coding practices and established processes that ensure quality and reliability from end to end. My work has positioned Novela to serve couples globally—helping them seamlessly discover vendors, manage consultations, and plan their dream wedding through a polished, intuitive product.
Since 2014, I've worked as the primary developer on the Mobile Nom Food Truck Finder application. Along with my business partner, Paul, we founded the company, established relationships with countless food trucks and foodies across the country to make an app and website used by thousands of people to locate their next meal. The website and mobile apps share a cross-platform JavaScript app written in AngularJS, utilizing Apache Cordova for the webview mobile experience. Additional native mobile code was written for both iOS and Android to provide enhanced location tracking functionality to enable more relevant location-based targeting for nearby food truck notifications relevant to users. The website backend and static pages are written in Ruby on Rails and are deployed using GitHub actions CI/CD to Heroku and AWS. Quality is ensured with a large automated test suite in RSpec, Cucumber, and Jest. We also partnered with another site, foodtruck.pub, to provide online ordering capabilities and further expanded our reach of food trucks across the country.
Bachelor of Engineering (BEng) in Computer engineering
2000-01-01-2005-01-01