abhinuvpitale

Interesting article, is it concluding that different small networks are formed for different types of problems that we are trying to solve with the larger network?

How is this different from overfitting though? (PS: Overfitting isn't that bad if you think about it, as long as the test dataset or inference time model is trying to solve problems in the supposedly large enough training dataset)

Such an insightful article. The tools are allowing us to 10x-100x productivity in shorter bursts, which makes total sense. There's a lot more to software engineering beyond those bits, and that's why the 10x engineer imposter syndrome.

Pretty cool use of NLP. I wonder if training schools can use this to train their students to improve their readback detection. IMO, one of the hardest things as a pilot in training in the first few months is getting feedback on my communication with the tower.

How does EB-2 NIW essentially work? Is it tied to a specific employer or can it be used to justify H1b renewal/transfer beyond the 6 year limit at a different workplace with the different role ?

Location: Seattle, WA

Remote: Sure?

Willing to relocate: No

Technologies: Sensors, systems, signal processing

Résumé/CV: abhinuv.dev linkedin.com/in/abhinuvpitale

Email: abhinuv (at) vt (dot) edu

Looking for applied research opportunities. Previously worked on building flight software for eVTOLs and sensor evaluation for autonomous flight. Currently focused on sensing for consumer health research.

Likes to work at the intersection of product, hardware and software.

Location: Seattle (preferred), Bay Area Remote: Yes Willing to relocate: Yes Technologies: Sensors, systems, data analysis, prototyping Résumé/CV: https://docs.google.com/document/d/1oEU0g93TES_o4Y4yvKeFmUc3... Portfolio : abhinuv.dev

5 years of professional experience developing systems and applied research on various sensing modalities. Your go-to buddy for hacking out prototypes for applied research. My previous work involves building fault tolerant systems for eVTOLs, and currently involved in consumer health research. My firmware background coupled with strong data analytic skills have been useful in figuring out complex physical systems and unique bugs they encompass!

Resume contains contact details..

Location: Seattle (preferred), Bay Area Remote: Yes Willing to relocate: Yes Technologies: Sensors, systems, data analysis, prototyping Résumé/CV: https://docs.google.com/document/d/1oEU0g93TES_o4Y4yvKeFmUc3... Portfolio : abhinuv.dev

5 years of professional experience developing systems and applied research on various sensing modalities. Your go-to buddy for hacking out prototypes for applied research. My previous work involves building fault tolerant systems for eVTOLs, and currently involved in consumer health research. My firmware background coupled with strong data analytic skills have been useful in figuring out complex physical systems and unique bugs they encompass!

Resume contains contact details..

Use Computer Vision to identify neighbourhoods with low tree cover and plant more trees there.

For context : https://www.nationalgeographic.com/podcasts/article/episode-...

TL;DR - some neighbourhoods have lesser shade than others. You can help bridge that gap!

If you're learning a scripting language, building a web scraper is a great way to learn some fundamentals of a language by using the basic data structures, getting the data flow correct and solving regex, parsing and printing issues.

Protip: use an IDE and a debugger to turbocharge your lesson!

Started writing a blog to collate some of the interesting things I find on the internet, and also practicing writing!

Would love some reviews of it : )

Feel free to subscribe or comment!

Plants are amazing!

Great advice. Looking at the headline, I thought this article was originally about bit-encoding, since it mentioned 99 bits.

Great point about how encoding-decoding custom objects/models to JSON is the biggest pain point. Coming with requirements before starting out the Object->JSON encoding, really helps you solve the more complex bottlenecks you might hit in the later "serialization".

Its super interesting especially when you are using floating points, dates, C-style unions (represented as nested lists/dicts).

Interesting idea, though I am wondering how you are going to scale since games involve live hosts? Rather you could use this as a platform to connect "live hosts" (who make up and publish their games) with companies wanting to connect.

You could provide platform, services, payment gateway etc.

I really want to know more about the usecase of having to store SSH key on your watch.

Its gonna be interesting to see how the SDK is going to be developed to make the best use of the crank.

Simulating that is also going to be an interesting design question.

Its super important to focus on your career based on your interests, rather than recruiters priorities.

The author has some point in there, however, focussing on side projects does help you expand and broaden your experiences. Its supremely helpful when switching between slightly different industries.

I think their phase 2 is going to be the five year project. This one was supposed to be a POC.

Based off https://natick.research.microsoft.com/

I love the idea of physically disconnecting the bell, when you want to `turn off` notifications.

Super interesting idea, I wonder if this can be used by insta celeb's to show 'flex' by spending on ridiculously priced goods.!

This probably sounds too cheesy, but don't forget to have fun! So, try different domains of CS, and see which one excites you the most!

There are a lot of subtleties of programming, algorithms and there are enough domains to choose from. So, don't follow the crowd, try enough new things to know what excites you, and then be a master at it!

Why do we sleep - Matt Walker

Amazing insight on importance of sleep on the human body. Well explained with elaborate and engaging examples.

Fake it till you make it? I definitely think this helps in case of happiness, since a 'deliberate' smile makes folks around you friendlier and happier. That, in turn, enforces the same emotion on to you!

I really like this idea, its a super nice and relevant way to recruit. Rather than solving an obsolete algorithm question, this approach really enforces some pragmatism towards solving interesting and `relevant` problems.

There is also the question of trust, one of the biggest non-technical challenge to overcome would be to convince general public to get into a car which doesn't have a driver. It would be similar to getting into a rollercoaster.

No control whatsoever of what might happen next despite every bit of your trip being pre-planned to the dot.