Omar Younis
Software Engineer · iOS & Machine Learning
I'm a software engineer and problem-solver: I design the solution, then learn what the problem requires. That approach has carried me from seven years in mechanical engineering through machine learning, data engineering, and a privacy-first iOS app I shipped to the App Store. The mechanical background isn't a detour—it's range: I can speak both Mechanical and Software, and translate between the teams on each side.
Qualifications
California State University, Fullerton (2026)
Minor in Aerospace Engineering, Worcester Polytechnic Institute (2016)
Data engineering & ETL pipelines (2024)
D&K Engineering, Cobham, and others
Recognition for fleet-wide tool deployment
Tools used across all US Coast Guard Air Stations
85% efficiency improvements, measurable outcomes
My Journey
I spent about seven years as a mechanical engineer across military defense systems, medical devices, and precision manufacturing. At D&K Engineering I led a 20-person team building the ecoATM kiosk and earned a $1M contract extension. The constant across that work was problem-solving: find what the system needs, then build it.
I moved into software the same way. At Elemeno AI I trained a feed-forward neural network that improved package-delivery prediction accuracy by 25%, building the data pipelines and running the exploratory analysis behind it, deployed on Google Cloud. At Qualcomm I built ETL pipelines processing 1M+ data points per minute for ML teams.
My M.S. in Computer Science at Cal State Fullerton (May 2026) capped it. My graduate project parallelized Brent's root-finding method on the GPU in CUDA, hitting a 35× kernel-level speedup on an NVIDIA RTX 3080. It taught me to think in hardware, memory layout, and where performance actually comes from.
Most recently I designed and shipped Nahtadi, a privacy-first iOS prayer-times and Qibla app, to the App Store—built in SwiftUI/SwiftData, fully on-device, and accessible to WCAG standards. iOS is where my newest work lives; machine learning, data engineering, and scientific computing sit alongside it as range. That CUDA and on-device work is also pointing me toward on-device ML.
Technical Skills
iOS & Apple
- • Swift, SwiftUI, SwiftData
- • Xcode, XCTest
- • Accessibility (VoiceOver, Dynamic Type)
- • App Store publishing
Machine Learning & Data
- • Python, PyTorch, TensorFlow, scikit-learn
- • NumPy, Pandas, Computer Vision (OpenCV, YOLO)
- • ETL pipelines, AWS, GCP
- • SQL
Scientific & Systems
- • C++, CUDA, parallel computing
- • Numerical & scientific computing
- • Docker, Git, GitHub Actions (CI/CD)
- • pytest, unit testing
Engineering Background
- • Mechanical product design
- • SolidWorks / CAD, FEA
- • GD&T, manufacturing
- • A differentiator: I speak both Mechanical and Software
Career Highlights
Software Engineer Intern - Qualcomm
May 2024 - August 2024
Built ETL pipelines processing 1M+ data points per minute for ML teams. Improved development efficiency by 40% through logging and monitoring solutions.
Machine Learning Engineer - Elemeno AI
August 2022 - November 2022
Trained a feed-forward neural network that improved package-delivery prediction accuracy by 25%, with SQL and big-data EDA. Deployed on Google Cloud Platform.
Lead Mechanical Engineer - D&K Engineering
February 2019 - May 2021
Led team of 20 engineers in developing ecoATMs, earning $1M contract extension. Built Python productivity tools that raised in-house engineering efficiency by roughly 50%.
US Coast Guard Auxiliary - Member since 2015
Flotilla Staff Officer for Operations · 2021 - 2026
Developed Python productivity tools deployed fleet-wide across all US Coast Guard Air Stations. Received Coast Guard Auxiliary Achievement Medal for measurable impact.
What I Build
My projects combine engineering rigor with software development, creating practical tools with real-world impact:
- • Data Engineering Tools: ETL pipelines processing millions of data points
- • Machine Learning Applications: Computer vision, NLP, and predictive models
- • Scientific Computing: Astronomical calculations, maritime navigation algorithms
- • Engineering Software: CAD-integrated tools for mechanical design
Check out my projects page to see what I've built, or visit my GitHub profile to explore the code.
Why Work With Me
Unique blend of mechanical engineering rigor and modern software development practices
Fleet-wide deployments with measurable results: 85% efficiency gains, week-to-minutes time reductions
Latest frameworks and industry best practices: Swift/SwiftUI, Python, PyTorch, AWS, CUDA
Strong academic and professional track record with successful project completions
Engineering background enables effective technical communication with stakeholders
Get in Touch
Available for full-time software engineering opportunities and contract engagements. Feel free to reach out through any of the channels below.