Gekit Cofounder, ex-@NVIDIA, @Stanford @UCLA Alum, California, Technology, Connector, Sustainability. Love to talk #DataScience #MachineLearning Views my own

San Jose, CA
Joined October 2011
I wrapped up my first year at @NVIDIA this past week! Check out my reflections on this first of many milestones. #DataScience #MachineLearning #SiliconValley #Technology #NVIDIA #GPU #LinkedIn #Culture #Learning #Technology #Tech #LoveMyJob linkedin.com/pulse/reflectio… @LinkedIn
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Found a box of my old NVIDIA business cards while cleaning the house. Loved my time there. Learned a ton. Still put them in the recycling bin. For years, that job was my identity. Grateful for that chapter. Ready to write my own.
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Accurate.
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Our launch timeline for Brayniac.io 💻 Test ourselves: June 3 👫 Beta test with friends: June 10 📄 Beta test with waitlist: June 17 🐦 Soft launch on Twitter: June 24 🚀 Product Hunt launch: July 1 @subhanster let’s gooo #buildinpublic #indiehackers
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I had a feeling that effective prompting was the secret to using LLMs effectively. After taking this short course, that feeling is overwhelmingly confirmed. Prompting is an iterative process that allows you to get the best out of the model. deeplearning.ai/short-course…
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11 sign-ups to the chat.brayniac.io waitlist 🚀 Humble beginnings for sure, but given this is @subhanster and my first waitlist I’m still super excited. Thank you Twitter ❤️ #buildinpublic
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Here’s my complete list of products I’ve ever built github.com/sherpa-ai/sherpa — AutoML open source library, 319 stars, 50k downloads Celestial-automl.net — AutoML SaaS, launched to LinkedIn network, 1 user ever Podcast summarization (pre-ChatGPT) — demo still here: brayniacapp.github.io/demo/o… Brayniac Keywords — keywords from google search, demo still here: app.brayniac.io/gq/ZA Blogs.fyi — RSS reader, launched on PH Chat.Brayniac.io — natural language data analysis Let’s face it, I like to build and don’t always launch 😆
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Creating this sidebar layout for chat.brayniac.io somehow took forever. Next: handling dataset uploads on the backend. #buildinpublic @subhanster
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Been waiting a long time for this one, but Google finally displays exact Islamic prayer times for your location natively at the top. This is a much better flow than what I used to have to do, which is type the same query, then navigate to a page that provides this info
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And enter enough information to identify my location. This is a much better experience as its faster, easier and simpler than every other Desktop experience I've used to access this same information
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Subhan Ali retweeted
Generative AI this, generative AI that, how about you generate some revenue
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Subhan Ali retweeted
Been thinking about this meme all week Are you the kind of person who just rolls up your sleeves and plugs the hole? Our world needs a whole lot more of that
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Really great working with our partners at @SnowflakeDB to make this RAPIDS Dask integration a reality! @RAPIDSai @nvidia @NVIDIAAI @dask_dev #DataScience #MachineLearning #DeepLearning #BigData #artificialintelligence #nvidia #AI
The plus side of using newly enhanced open-source tools like Snowflake Python Connector and Dask? Drive 20x the performance at a quarter of the cost when running an end-to-end ML workflow on NVIDIA GPUs with RAPIDS:nvda.ws/3Ilcmfq #datascience #pythondatascience
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"If you're not working hard, ideas don’t matter. The best idea is worthless without execution. If you're already working hard, ideas are crucial. Most effort is wasted on mediocre ideas." –@JamesClear
Subhan Ali retweeted
Time is the ultimate currency
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To new beginnings! So excited to join @wesmckinn and others to help drive the future of @ApacheArrow! Woot woot! Join us! medium.com/@patterson.joshua…
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The @ursacomputing team and I have joined forces with @datametrician, @blazingsql and other open source pioneers to create @VoltronData to work for the future of analytics built on @ApacheArrow! Read more here: wesmckinney.com/blog/from-ur…
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Accelerating Machine Learning Model Inference on Google Cloud Dataflow with NVIDIA GPUs | NVIDIA Developer Blog #DataScience #MachineLearning #BigData #ArtificialIntelligence #Python bit.ly/3iE7vLf