Wasif Bokhari (PhD)

Senior Machine Learning Engineer

  • Mobile
  • Email
  • Home
  • Github
  • LinkedIn

My strength lies in the combination of hands-on coding skills from my full stack software development experience in the Industry along with strong machine learning and AI research skills that I have acquired as part of my journey towards PhD in Computer Science from Arizona State. I have a passion for technology and keep up to date with the latest software and tools in the marketplace. My hobbies include playing sports and travelling.

Experience

Xpress Technologies
June 2021 - Present
Senior Machine Learning Engineer

Predicting the pricing of carrying various loads using machine learning to help U.S. Xpress revolutionize the trucking industry by streamlining the process between the shippers and carriers.
Technologies: Python

Citizens Bank
Sept 2019 - Present
Senior Software Engineer

Leading the development of full stack web applications as part of the technology transformation initiative and working closely with customers to analyze, design, develop and implement software systems using agile principles.
Technologies: React, CSS, Java/Spring, Postgres SQL

Intel Corporation
May 2014 - September 2019
Software Engineer

Developed Full stack web applications using the latest technologies in fast paced agile environment. I was Awarded 2016 Q4 Division Recognition Award (DRA) in the Intel Information Technology (IT) Group.
Technologies: Angular, Typescript, C#, .Net, Node.js, SQL Server, MongoDb

Arizona State University
Dec 2016 - Dec 2017
Lecturer

Was the instructor for "Introduction to Computer Science" classes for multiple sections at Arizona State University

Evantrium LLC
June 2013 - December 2015
Founder

Formed Evantrium LLC which specialized in web development for early stage Startups.
Technologies: Aurelia.js, Node.js, Express.js, Sails.js, MongoDb

Education

Arizona State University
Spring 2021
GPA: 3.9
PhD - Computer Science

Research is focused on predicting the likelihood of a patient developing cardiovascular disease within the next 10 years using machine learning

Arizona State University
Fall 2015
GPA: 3.7
Master of Science - Computer Science

Thesis Paper was accepted at World Wide Digital Health Conference in Montreal, Canada. I Presented my research at the conference and now it is adopted at Mayo Clinic, Phoenix to improve resuscitation outcomes.
Title of Paper: Development and Use of an iPad-Based Resuscitation Code-Blue Sheet for Improving Resuscitation Outcomes during Intensive Patient Care.

Arizona State University
Spring 2014
GPA: 3.6
Bachelor of Science - Computer Science

Graduated with Magna Cum Laude (Distinction)

Skills

  • C# and .Net
  • Node.js and Express.js
  • Java/Spring
  • Python
  • SQL and MongoDb
  • React
  • Angular

Development Practices

Test Driven Development

Continous Integration and one-click Deployment (Teamcity)

Source Control (GIT)