Featured Member: Teddy Oweh on HBCU CONNECT!

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Q&A With Teddy Oweh

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Teddy Oweh
Software Engineering Intern, Apple
Location: Baltimore, MD United States
Joined: Jan 29th, 2024

About (request update)

Current Whereabouts:

Programming, Startups & Entrepreneurship

Life & Professional Aspirations:

Get Undegraduate Degree, Get Doctorate Degree - During my PhD build a startup revolving around Brain Computer Interfaces (BCIs) & Neural Decoding.

Website:

https://teddyoweh.com

Education (request update)

Morgan State University class of 2026

Undergrad Major: Computer Software Engineering

Experience

I currently work with Apple as Software Engineering Intern
I have years of experience working in the Computers, Hardware industry.

Undergraduate Researcher | Morgan State University
From January 2024 to Current • 2 year(s)
Working on quantum cryptoanalysis, encryption & cryptography algorithms under Dr. Paul Wang.

Undergraduate Researcher | Tarleton State University
From September 2023 to Current • 3 year(s)
Developed ML algorithm for license plate segmentation and vehicle tracking using YOLOv4, GANs, and LSTM neural networks.

AI/ML Engineering Intern | Apple Inc.
From May 2023 to September 2023 • 0 year(s)
Built high performance ML computing system achieving 95% prediction accuracy for Apple Home Devices and developed API MicroService with ML Data Pipeline.

Computational Modelling Student Researcher | TIAER
From January 2023 to May 2023 • 0 year(s)
Developed x86 compiler system in C++ for converting VB.net statistical models to Unix-compatible C++ for AWS cloud computing.

Research Payload Engineer | NASA
From August 2022 to May 2023 • 1 year(s)
Engineered MCU Payload System for sub-scale rocket with real-time flight analytics operating at 6000ft.

Lead Student Researcher | Tarleton State University
From February 2022 to May 2023 • 1 year(s)
Developed Mini Batch Spectral Decomposition ML algorithms achieving 15% higher accuracy than KNFE and COMB algorithms.

Research AI/ML Systems Engineer | NAVSEA
From July 2022 to March 2023 • 1 year(s)
Led development of AI/ML algorithm using Markov Chains and Naive Bayesian for automated scheduling and weapon systems coordination.

Student Researcher | Tarleton State University
From May 2022 to August 2022 • 0 year(s)
Applied stochastic processes and differential equations to develop disease propagation models for disease control insights.

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Guestbook Comments

	It's my pleasure to have you join, us as a new or seasoned member. May you have an amazing, blessed and marvelous day Tagged by Ralph White on 01/30/2024

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