Preet Jassi

Portfolio

Projects

Fit.ai

  • Designed and developed landing page as MVP to validate willingness to pay for product
  • Executed an Optimizely A/B test to determine what variant of the product consumers preferred
  • Launched social media campaign on Facebook to drive traffic to landing page
  • All code is hand written and the landing page works on mobile devices using responsive web development

Predicting Wildfires

  • Built several models to predict the size of a wildfire based on initial conditions.
  • Used Tensor Flow Deep Learning, Decision Trees, Regression, and Cluster Analysis
  • Won "Coolest Project" via class vote.

Cornell Table of Contents

  • Designed and developed landing page as a part of my business school application
  • Features animation and parallax effects
  • All code is hand written and the landing page works on mobile devices using responsive web development

Experience

Origin

  • Lead a team of 20 UI engineers to build and launch Origin - an Angular Web Application
  • Worked closely with design, developing a UI toolkit with reusable visual elements (similar to Bootstrap), a mobile pattern strategy, and a prototype framework for design
  • Was one of the first engineers on the product, prototyping out the MVP of Origin and then taking it to launch
  • Initiated Optimization efforts, reducing page load time from 10s to sub 2s
  • Architected and developed many core components, utilities, models - mainly on the home, gamelibrary and navigation sections

Indochino

  • Specialized in responsive web development - using one code base to build a website that is optimized for mobile, tablet, and desktop devices
  • Created one of the first responsive e-Commerce websites, winning design awards and featured in Foresterr
  • Created a responsive interactive experience to showcase the benefits of Custom Made To Measure apparel
  • Developed a new mobile first measurements system, created and managed a Google Analytics A/B test, increasing measurements conversion by 30%
  • Created scheduling algorithm for retail locations to increase customer throughput by 20%