118 karma · joined May 20, 2017
https://github.com/jddunn/restless
Right now I'm trying to figure out how to speed things up with multiprocessing (Keras doesn't play nicely with that). It's definitely a proof-of-concept project as opposed to something that's a enterprise-level tool (otherwise probably wouldn't write it in Python heh). Mostly I just wanted to make a sick-looking CLI for once.
Location: New York, NY
Remote: Open
Willing to relocate: Open (depends on job)
Technologies: Python, JavaScript, SQL, Elasticsearch, Electron, React, Redux, Unity, Microcontrollers
Résumé/CV: https://jddunn.github.io/portfolio/data/Johnny-Dunn-Resume-2019.pdf
Email: johnnyddunn@gmail.com
Looking for a full-time role in NYC or remote; also open to relocation depending on job. I have worked on various machine learning projects in NLP and CV, and have experience building chatbots, web crawlers, and ETL data pipelines. Looking for stability, interesting challenges / customers, and working with innovative tech.GitHub: https://github.com/jddunn Portfolio: https://jddunn.github.io/portfolio/
Remote: Open
Willing to relocate: Yes depending on job
Technologies: Python, JavaScript, Electron, React, Unity3D, Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), Backend / Full-Stack Development, AWS, Docker, Elasticsearch, SQL
Résumé/CV: https://jddunn.github.io/portfolio/data/Johnny-Dunn-Resume-2...
Email: johnnyddunn@gmail.com
Full-stack / backend engineer with strong machine learning (NLP, CV) and Unity skills as well. Looking for a full-time position, preferably with some remote flexibility. Good at finding creative, data-driven solutions to problems with unknown answers.
https://jddunn.github.io/portfolio/ https://github.com/jddunn
Software engineer with full-stack and machine learning skills, preferred to focus on backend / ML. Have some extensive experience working with NLP (natural language processing), and also have done several projects before with CV (computer vision). Also have experience with Unity3D, VR / AR development, and working with sensors and hardware prototyping (arduinos and raspberry pis). Experienced with React and Electron also. Good at finding scalable creative solutions to problems that don't have answers yet, and very interested in working with medicine and healthcare.
Portfolio: https://jddunn.github.io/portfolio/
GitHub: https://github.com/jddunn
Email: johnnyddunn@gmail.com
Looking for full-time work or an interesting and flexible part-time job. Thanks!
I really like this project and the credits system in place. If you're open to the idea I'd be down to collaborate on some of the frontend / design work. Feel free to message me.
There's the example file here: https://github.com/olivia-ai/olivia/blob/master/res/intents....
But trying every variation of "hi" doesn't return any of the correct responses from the online demo. And Olivia doesn't seem to do text normalization (stripping out punctuation), so saying "Hey." instead of "Hey" or "Hey!" doesn't work.
Remote: Very open
Willing to relocate: Open based on company and benefits
Technologies: Python, JavaScript (Node.js), Electron, React, Redux, Unity3D (C#), Arduino, Raspberry Pi, 3D Modeling, Sensors, Data Visualization, Machine Learning, Natural Language Processing, Computer Vision
Résumé/CV: https://jddunn.github.io/portfolio/data/Johnny-Dunn-Resume-2...
Email: johnnyddunn@gmail.com
Currently looking for full-time work or contracting opportunities. I've been coding for over five years and have about three years of experience in the industry professionally. I'm a full-stack developer with strong design skills, though I prefer to focus on the backend, and I have experience with machine learning. I've successfully built multiple complex projects involving natural language processing and computer vision.
See my portfolio here: https://jddunn.github.io/portfolio/
That's pretty awesome, it opens up some new video game-esque possibilities for web design
https://github.com/jddunn/dementia-progression-analysis
I was using OASIS's public dataset so I only had ~150 images to work with, instead of ~2000. I used transfer learning from ImageNet's dataset to try and get usable results. I also had super limited testing (15-20 patients), but got ~60% accuracy with ~13% false positive rate.
It could be useful to apply those same transfer learning techniques in your team's model.
Location: NYC (New York, NY)
Remote: Yes (Depends)
Willing to relocate: Yes
Technologies: Python, JavaScript (Node.js, ES6, ES7), TypeScript, Java, C#, Unity, Electron
Résumé/CV: https://jddunn.github.io/portfolio/data/Johnny-Dunn-Resume-Dec-2018.pdf
Website: https://jddunn.github.io/portfolio/
GitHub: https://github.com/jddunn/
Email: johnnyddunn@gmail.com
Full-stack developer who has successfully launched multiple projects based around machine learning (especially natural language processing). Currently looking for full-time / contracting work, open to part-time work. If you're looking for a NLP engineer, look at my GitHub! Hoping to join a team that's passionate, communicative, and working towards something great.I am a full-stack developer experienced with Python, React, JavaScript (Node, ES6, etc), TypeScript, Java, and Unity and Electron development. I have launched multiple successful, complex projects built around machine learning (natural language processing and computer vision), and am experienced with MySQL, MongoDB, Elasticsearch, Redis, and more. I also have strong design skills and can bring a MVP from inception to market alone. If you're looking for a NLP engineer, just take a look at my GitHub!
Website: https://jddunn.github.io/portfolio/
Resume: https://jddunn.github.io/portfolio/data/Johnny-Dunn-Resume-D...
GitHub: https://github.com/jddunn/
Rate: $60 / hour (negotiable depending on project and other benefits)
Email me at johnnyddunn@gmail.com for inquiries!
Eventually I'd like to add in building various text corpora by parsing the entire collection of the entries, by selection of entries, and by tags / groupings. Currently, the analysis isn't taking advantage of the recursive data structure of the library.