Hi everyone! I’m Dan from Chicago, IL.
I have taken(listened) all the Fastai courses over the years, I believe v3 was the 1st one I actually did the work. I attribute by successful career change from retail banking to Data Science because of the great teachings of Jeromy, Rachael and Fastai community. It was far from easy, but it has been worth it. I woke up almost everyday a 4am to learn and work two full time jobs for more than two years to get a primary job as a data scientist.
I love seeing all the familiar icons and names from the past.
I am Jimmie, from Kenya . I am currently working as an MLE at Tambua Health where we are building Deep Learning products in the Ultrasound/Medical Imaging Domain.
I did my undergrad in Telecommunications Engineering (I’ll probably revisit this area of my life later on).
My journey in Deep Learning started in 2020, when I stumbled onto fastai at a really lucky time, v2 had just been released and the book too. I cannot stress enough how fastai helped shaped my path and my career now.
I love bike riding and watching classical old movies from the 20th century.
I recently moved to Washington DC in the United States where I do consulting work at a small company (there’s 3 of us that work there). Mostly we do things with tabular data so not a ton of deep learning currently
In the past I have done some deep learning. I worked at a company that scraped job posting data where I worked with investment firms to try to leverage job descriptions for stock market investing. Lots of experimenting to find things that would be of interest to the investment firms with some of them having a deep learning component to them. I have worked with deep learning on several historical kaggle competitions, and wrote several blog posts on that and other topics. I also I developed a chat support solution. The most interesting part of the chat solution was the solution design and how it all fit together, but it used hugging face deep learning models as the model that powered it and it worked pretty well.
Super excited for the new course and to learn with you all. My hope in this course is that I can get back to doing some deep learning, and find creative ways to apply the techniques to new datasets. I have been looking into financial influence in politics and I would like to leverage some of this stuff there in some way.
What a nice surprise you made my day @jeremy. I love to see the course being back.
I’m Piotr l live in Wroclaw, Poland. I techie at heart but I bootstrapped a few businesses too.
My DL journey started in 2016, but the 2017 fast ai course give me the most up lift and let me co-author 5 published NLP papers with fantastic guys from Fast AI, FAIR and Google AI, and be a part of paperswithcode.com devs.
The Journey was amazing and only possible thanks Marcin, Jeremy, Sebastian and other guys on this forum. It stopped when my 2y old son was born, I flunk fair interview, and my wife started an ecommerce business while pregnant .
I love biking, saling and hanging out with my family.
The new Fast AI course couldn’t be timed any better, as I’ve recently managed to allocate more time on DL so see you on the form and twitter: @piotrczapla.
Hello all, and thank you, Jeremy, for the invitation!
My journey in machine learning began in 2017 with the fast.ai course. Since then, I’ve done a couple of internships and one co-op related to deep learning, where I worked on various tasks such as data mining, analyzing electroencephalography with convolutional neural networks, developing self-supervised learning recipes in data-constrained environments, and more. Additionally, at the suggestion of many in the field, I began a blog I post to regularly discussing diverse topics like CUDA, computer vision architectures, and Kaggle competitions. A great deal of my knowledge comes from the fast.ai ecosystem, including the lectures, forums, and library. It’s a pleasure to be able to do the fifth iteration of this awesome course!
Hello,
I’m Mayank, and I live in Delhi, India. I’m a Data Scientist by profession and currently applying deep learning to the science of where.
I like to solve scientific problems using AI. I feel that AI will help us in finding the secrets of our planet and this immeasurable Universe and one day, we will be able to see how it all started.
Apart from above, I like to do gaming, go on long road trips and hiking to connect with the nature.
Hi everyone! My name is Zach, you may have seen just a few of my forum posts and responses on here
I wrote https://walkwithfastai.com, which was essentially my own course on teaching fastai v2, before the previous iteration of the course didn’t exist.
Currently I’m an MLE at HuggingFace , working on the Accelerate package, a library aimed at letting you run the same training script on GPU, TPU, multiGPU, etc while only changing just a few lines of code in your overall script.
Hi everyone and very pleased to meet friends old and new, as I look through the intros! I’m Brian Smith, I live in Seattle and am an escalation engineer at Microsoft supporting our Project and Work Management products, Project and Planner. AI/ML isn’t my day job but have been playing around for a while and involved in previous iterations of the course. I’m happy to help with anything related to wsl2 and Azure VMs as those are probably the platforms I’ll try and use for this course, and very excited to get back into fast.ai after a bit of a break since the last course as I got hooked on 3D and motion graphics stuff that ate up my time. (@)lunchwithalens on various platforms - and you’ll mainly find photo stuff posted. One day I hope I might make AI/ML my day job too!
HI everyone, it’s an honor to be included in the 2022 cohort! I work with ERP systems as my day job at a Canadian University in Toronto, but love to tinker with and learn about Neural Networks and Artificial General Intelligence and fast.ai has really helped to demystify the field and the practice for me. My goal this year is to actually finish the course this time around, and to use the knowledge gained to make my robot car “self driving” …
I’m really looking forward to participating in this version of the course!
Hello everyone, I am very excited to be able to participate in this course. I am a radiologist and have been learning AI for about three years now. Mostly I work on medical imaging, such as classifiers for chest-xrays and pelvic MRIs or segmentation models. Lately, I’ve also been doing a bit of work in NLP for German medical texts, so I’m particularly interested in learning more about transformers.
My Twitter is @k_bressem
Hello! I’m DJ, I’m something of a dilettante but have about 3 years of very scattered deep learning experience. My use is mostly recreational, I’m a big fan of aiweirdness.com. But my longterm passion is to explore how DL can help create jobs rather than eliminating them. I’m reading a book called Reprogramming the American Dream by Kevin Scott that offers some hope in that area.
I only use Twitter for AI and Excel bots, ones that the vast majority would not be interested in viewing… Mostly I’ll be limited to here and Discord, where you’ll find me as CowGoesMoo, and probably active on various Everquest servers. Looking forward to continuing my haphazard journey with the Fast AI community! (p.s. I don’t actually eat crayons)
Hi everyone! I am a data scientist at Bosch in Germany and work with automotive repair data (tabular / text) and manufacturing data for predicting field defects. I am absolutely delighted to be here and will do my best to participate (while I am on a family vacation in India!).
After the previous iteration I decided to take on a personal project to improve my programming skills and used what I had learnt in the fastai course, to create a yoga app: https://yogapose.app (the link might not work after 30th April 2022).
This project allowed me to make the long desired shift from mechanical engineering to data science (my current job) → Thank you fastai!
I love the teaching approach and mentality of all the wonderful people in fastai and do my best to spread the word.
Hello all! I’m Dien-Hoa, I’m a Machine Learning Engineer in the South of France. I joined fastai forum in 2018 and have 1.2K days visited now.
I learn a lot from the fastai community, not only about Machine Learning but many other things. In every place I was involved, I always said it is the healthiest community!
Only on raw images. The goal here was to learn to take a model into production. The ML part was kept as simple as possible but yes, pose detection followed by checking the alignment of the joints etc. would be the way to go forward.
Feels great to be a part of this cohort, and glad to see a lot of old and new faces again. I’m Suvash Thapaliya, currently living in Gothenburg, Sweden, but I also happen to be based in Kathmandu, Nepal every now and then.
I currently work as a Software Engineer building infrastructure & data processing pipelines for Genomic data(DNA, mostly bacterial), haven’t gotten to use DL techniques in production yet, but slowly getting there.
Super happy to be here again learning together with one of the best online communities.
My name is Gianluca and I’m a Sr. Data Science Manager at Farfetch, where my teams are working on several projects from product recommendations to forecasting.
I started with fastai in 2017 and stuck around since then. I’m interested in anything Machine Learning / Deep Learning related (e.g., CV, NLP, RecSys) and, from time to time, enjoy competing in Kaggle ― although it is hard to find the time nowadays.
I’m very excited about the new course offering and can’t wait to learn together the new material!
My name is Angelina. I lead the DS machine learning teams at Next Insurance in Palo Alto. And, I’m hiring! (happy to refer!)
My DL journey started with Jeremy in 2018. I am interested in advancement in this area, especially applied use cases in the industry. I am also interested in helping people who are interested in the field to break into this field, and promoting gender diversity in both IC and leadership roles.
Hi Everybody
I am Conwyn and live in the UK. I read Mathematics specialising in Computer Science over 40 years ago. My future son in law (hopefully) is doing a PhD in deep learning, and he explained it was too difficult to describe. Enter FASTAI into my life in 2018. I have watched every course except Ethics and I am not confused but the holes in my knowledge are massive. I have just completed (Understand data science for machine learning - Learn | Microsoft Docs) which is a nice introduction. I was an assembler programmer for many years with C thrown in, so I find Python a bit like magic; it just knows what to do. In the last couple of years I have been trying to fill the holes and I would recommend (https://www.probabilitycourse.com). So I hope to learn and consolidate in 2022. I would recommend you read the FASTAI book. Hopefully we can all learn from each other. My twitter is @Conwyn .
Regards Conwyn
Hey there!
This is Francesco, Italian from Rome living in Brussels
I am currently a MLE at Bolt, working on Computer Vision (OCR and Liveness Detection mainly).
I started my ML journey back in 2013 and got into the DL rabbit hole in 2017, first with Keras and then with fastai (of course ).
I love running , reading , eating (oh yeah), and drinking strong Belgian beer .
I blog, I productionise models for fun, I am a core contributor to IceVision, and try to be active on both LinkedIn and Twitter.
Incredibly happy and humbled to be part of this truly inspiring community!
Thanks for having me!
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I’m Suvash Thapaliya, currently living in Gothenburg, Sweden, but I also happen to be based in Kathmandu, Nepal every now and then.
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