Career of the Month: Computer Engineer!

TACAM High School Chapter’s Computer Engineer Webinar was held on March 28th at 1-2 pm EST! The featured speakers were Mr. Alp Okuyucu, Ms. Melis Oner, and Mr. David Kaczynski. See their bios further below.

Sunday, March 28
1:00 PM EST
Public · Hosted by THSC
Online Event

A recording of this webinar can be viewed here:

Mr. Alp Okuyucu: Alp Okuyucu was born in Wichita, Kansas and raised in southeast Michigan. He earned his Bachelor’s degree in Computer Engineering from the University of Michigan, in Ann Arbor, Michigan in 1993. He began his career as a software developer at Production Modeling Corporation in Dearborn, Michigan before joining PTC, Inc in 1999 as a software pre-sales engineer. He is currently a consulting fellow, leading multi-year, multi-million dollar implementations of enterprise product lifecycle management software for a variety of customers across multiple industries, including medical device, heavy industry and the department of defense.

Ms. Melis Oner: Melis Kaczynski was born and raised in Istanbul, Turkey. She graduated from Istanbul Technical University, Electrical Engineering program and Istanbul University Conservatory Classical Guitar department. She started programming in ITU Solar Car Team, where she helped Ariba IV to win the ‘Best Newcomer’ Award in World Solar Challenge 2011. She worked as an Android Developer, DevOps Engineer, and Web Application Developer in both automotive and health-care industries. She published papers in IEEE conferences during her Masters’ degree at Central Michigan University. She is a graduate of the Young Scholars program of Global Relations Forum where she is still occasionally participating.

Mr. David Kaczynski: David Kaczynski is a Machine Learning Engineer at the world’s largest mortgage lender: Quicken Loans. David started with building simple websites in middle school and learned beginner’s C++ and Java in high school. In college, he majored in computer science, specializing in software engineering and data science. After college, David worked at General Motors to help solve problems using Big Data and AI, such as testing collision warning systems and training autonomous vehicles. Today, David builds data pipelines and user interfaces for Quicken Loans’s bankers to match the best mortgage products with the right home owners.