abhinuvpitale
Joined 7 years ago
Karma
30
Submissions
56
Member since
Mar 9
Recent submissions
Comment · 1 year ago
Comment · 1 year ago
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.
Comment · 1 year ago
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.
Comment · 2 years ago
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 ?
Comment · 2 years ago
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.
Comment · 2 years ago
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..
Comment · 2 years ago
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..
Comment · 3 years ago
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!
Comment · 3 years ago
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!
Comment · 3 years ago
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!
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)