HI, I'M JOEL
AI and Machine Learning engineer with a knack for problem solving, debugging, and inventive ideas.
Below is a showcase of AI/ML projects, web apps, and hardware projects I've built. I hope you enjoy!
Some fun projects I did on my own to continue to hone my AI skills in Python, TensorFlow, and Keras.
Callbacks Learning Rates Image Augmentation Weight Averaging Parallel Universes Ensembles
NLP Classification RNNs Transformers Precision Recall F1-Score TensorFlow Hub
AI / ML / SOFTWARE SKILLZ
A website and browser extension to legally help make online news more freely accessible for all.
The most popular paywall extension in the Chrome store. Over 40K weekly active users and growing.
A few big changes are in the works. You know you've made something good when the copycats come crawling..
Various projects or bootstrapped startup ideas that didn't make it, for one reason or another.
One digital news subscription that would get you access to all partner sites. I developed a proof of concept that let you log into the partner sites (similar to Single Sign-On). The difficulty of partnering with giant conglomerates and differences in co-founder expectations pretty much doomed this one from the start.
My first love
The conversion of my Honda CRX to battery-powered EV. Over 300 hours put into engineering, custom metal fabrication, circuit design, and high-voltage electrical work.
C-Rex was faster than stock, cost less to operate, had fewer moving parts, and was more fun to drive! Sadly, I sold him when I became a dad since he had no backseats. 😭
After my sister had a scary encounter in the park, I set out to make a stungun that could be operated hands-free, so there was no excuse to leave it at home.
An onboard accelerometer detects an intentional double-shake of the device to set it off. I designed the circuit and PCB, drew the enclosure in CAD, and wrote the firmware.
The final product worked, but my wife was too scared to have such high-voltage so near her wrist. And that's the tale of how I learned the hard lesson of not talking to my users first.
Teeny tiny parts
Baking an early prototype
Measuring and plotting accelerometer response
The profile of a double-shake
Running in the lab like an idiot
Soooo maaany batteries..
An enclosure rendering
You want renderings? I've got plenty
As a consultant, I turned my client's idea for an internet-connected impact-sensing car alarm into a shipping product. He's sold millions in revenue.. wish I'd asked for equity 😂
BMMPR plugs into the OBD-II port, and has cellular and bluetooth connectivity, GPS, and an accelerometer. I designed all the hardware and wrote the firmware to connect to the mobile app and an AWS backend.
Learning whatever skills I need to solve problems.
Google-certified TensorFlow Developer Certificate. Foundational, practical machine learning skills via the building and training of models using TensorFlow.
TensorFlow Keras Regression Classification Image Classification NLP Time Series
Foundations of NLP covering logistic regression, naïve Bayes, hidden Markov models, word embeddings, recurrent neural networks, Siamese networks, encoder-decoder models, attention, and transformers.
Autocomplete Sentiment Analysis Shakespeare Generative RNN Question Duplicates Seq2Seq Chatbots Summarizers Machine Translation
Fundamentals of Deep Learning taught by Andrew Ng. Identify key architectural tradeoffs, analyze datasets, build deep neural networks in TensorFlow, build CNNs for image recognition, build and train RNNs and HuggingFace transformer models for NLP tasks.
NN from Scratch Face Recognition YOLO Image Segmentation Sentiment Analysis NMT Trigger Word Detection TensorFlow
Fundamentals of machine learning taught by Andrew Ng. Supervised machine learning algorithms, including linear regression, logistic regression, neural networks, decision trees, and reinforcement learning in Python.
Handwritten digit recognition Spam classification filter Anomaly detection Movie recommendation engine
Review site Slack app Shopping cart
Music venue app API design Roles-based access control
“Joel performed well beyond my high expectations. He was self motivated, and was quickly able to set his own goals and timelines for his work. He did excellent independent research ... He incorporated both large and small pieces of innovations to meet the demanding project requirements. Joel maintained a high level of focus in his day to day work. He is not easily distracted from the task at hand. I cannot remember him ever missing a deadline for a deliverable. Joel worked very well with the other engineers in the group. He works well under pressure and is able to bring his ideas in team discussions in a positive, non-confrontational manner. He delivers across all possible considerations: productivity, initiative, responsiveness , and professionalism. His friendly positive personality is a great asset to any team environment.”
Principal Engineer at Intel
CEO at Access Sensor Technologies
“Joel did well working independently, even on difficult problems ... His work was of the highest quality. 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!”
Director of Engineering at Intel
“Joel understands complex matters even when outside of his direct area of expertise. He is quickly able to learn new software tools, which enables him to spend less time with the mechanics of the job and more time doing the actual work before him. Joel's work ethic and attitude are an asset to any team.”
Principal Engineer at Edge Scientific