HI, I'M JOEL
ML/CV Engineer with end-to-end experience
Deep learning + classical CV, strong debugging instincts, and a systems background that helps ideas come to life — from data and training to GPU/edge deployment.
ML/CV & Systems Skills
Tools I use to build, train, and deploy vision models.
I spent 15 years building systems across hardware, firmware, and software — and now apply that same engineering rigor to machine learning and computer vision applications.
My superpower is problem solving: learning fast, researching deeply, and getting to the truth of the problem.
AI and ML are superpowers for problem solving as well — and combined with my strengths, they become a powerful force multiplier.
AI/ML Projects
Some fun projects I did on my own to continue to hone my AI and Machine Learning skills using Python, TensorFlow, Keras, and more.
Featured Web App
A web product I built, launched, and grew to 45K+ weekly active users, including hundreds of paid subscribers.
Shipped & Adopted
Built, launched, and grew a real product used by tens of thousands weekly.
Operated in Production
Kept it reliable at scale: monitoring, iteration, and continuous improvements based on real user behavior.
Product + Business Execution
Took it from idea → distribution → monetization, including a freemium subscription model with paying customers.
Hardware, my first love
An electrical engineer by schooling, I will always have a special place in my heart for hardware. These projects are a snapshot of the “build it for real” side of me.
College
University of Michigan, Ann Arbor
Masters, Electrical Engineering.
Summa Cum Laude
Bachelors, Electrical Engineering.
Magna Cum Laude
- Graduated with Honors
- Dean's List
- Two senior class "Best Project" Awards
Certifications & Coursework
Hands-on training in deep learning, computer vision, NLP, and production-grade software fundamentals.
TensorFlow Developer Certificate
Practical TensorFlow skills: building, training, and evaluating real models.
TensorFlow Keras
Udacity's Computer Vision Nanodegree (PyTorch)
Core CV workflows: feature extraction, deep models, and applied perception projects.
PyTorch Facial Keypoint Detection Image Captioning SLAM
DeepLearning.AI's Natural Language Processing Specialization
From classical NLP to transformers: embeddings, seq2seq, attention, and evaluation.
Transformers Seq2Seq Machine Translation
DeepLearning.AI's Deep Learning Specialization
Neural nets, CNNs, sequence models, and training best practices.
Face Recognition YOLO Image Segmentation Sentiment Analysis Neural Machine Translation
Stanford's Machine Learning Specialization
Strong foundation in supervised learning, model selection, and practical ML.
Anomaly detection Movie recommendation engine RL Lunar Lander
They said it, not me..
“It is without hesitation that I give Joel my highest praise.”
“Joel performed well beyond my high expectations. He was self-motivated, and was quickly able to set his own goals and timelines. He incorporated innovations to meet demanding project requirements and delivered across productivity, initiative, responsiveness, and professionalism.”
Thomas Grutkowski
Intel Principal Engineer
“We still talk about some of those early days where you really saved our bacon”
Thomas Reilly
CEO at AST
“Managers and technical leads knew they could trust him”
“Throughout his time on my team, Joel showed a knack for learning new subjects quickly, he showed excellent communication/teamwork, and he reliably met his schedules. I’d be happy to have Joel return to my team!”
Paul Thayer
Intel Director
“Passionate, precise and creative”
“Joel understands complex matters even when outside of his direct area of expertise. He is quickly able to learn new software tools. Joel’s work ethic and attitude are an asset to any team.”
Mike Barber
Principal Engineer at Edge Scientific