pradeep_m

6 ms·

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by pradeep_m 5y ago
I think this is a rather harsh take. Most of the people working on automating it understand how hard it is and are striving through it. You need some of these irrational believers for progress!
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by pradeep_m 7y ago
It always seems like incumbents have it all (resources, distribution, talent, etc) until they don't. For ex, the "iPhone" theoretically should have come from Nokia by that logic. AR particularly requires truly novel innovatio
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Root cause of slowness in training Neural Nets (NN)(medium.com)
1 points by pradeep_m 9y ago|0 comments
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by pradeep_m 9y ago
Fair question. We collect data about every interviewer (at a very granular level to understand what skills they are good at evaluating and how predictive they are). Also, we provide interviewing history data as part of the evaluation. For e
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by pradeep_m 9y ago
Oh - thanks for the feedback! We'll fix.
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by pradeep_m 9y ago
Yes, I'd agree they are a closer comparable. Our primary difference is that our interview process is personalized to each individual candidate because we match candidates to an independent interviewer relevant to their domain and field
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by pradeep_m 9y ago
ha, I agree we are a recruiting company. However, we do believe we are solving a couple of different pain points. a) For companies, resume doesn't convey the complete picture and any additional signal would be super valuable. We believ
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by pradeep_m 9y ago
Yes, we work with junior engineers too.
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by pradeep_m 9y ago
Hired, Vettery and other recruiting websites typically connect candidates to companies based on almost little to no vetting (Their vetting is based on your resume: essentially pedigree). On HiDimensional, as a candidate, you interview with
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Show HN: HiDimensional – senior engineers recommend candidates to startups
29 points by pradeep_m 9y ago|19 comments
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by pradeep_m 9y ago
We are the co-founders of HiDimensional. Very simply, we pair engineering candidates with senior engineers in their field and the senior engineers refer the top candidates to the 40+ top startups on our platform. It's common knowledge
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HiDimensional (Leveraging expert referrals to improve technical hiring)(blog.hidimensional.com)
25 points by pradeep_m 9y ago|6 comments
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by pradeep_m 9y ago
I think the code is written for the case where it fits in memory. For that case, the solution is O(n) in terms of time complexity. From the feedback it seems that they only spoke about the solution where the data doesn't fit in memory.
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Ask HN: Do you skip phone interviews for Google/FB/Tier-1 company engineers?
19 points by pradeep_m 9y ago|18 comments
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by pradeep_m 9y ago
Couldn't we train it on top of resumes itself? With every resume, you know where they worked before and you have the data of where they worked until then. Granted, it would be muddled with noisy data (like skills, etc that they didn&#x
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Ask HN: Can you use AI/ML to match software engineering resumes with jobs?
14 points by pradeep_m 9y ago|9 comments
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Pre-vetted active software engineering candidates for junior roles
13 points by pradeep_m 10y ago|0 comments
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Ask HN: How often do candidates you rate as “hire” or “strong hire” get an offer
3 points by pradeep_m 10y ago|0 comments
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by pradeep_m 10y ago
While I agree that interviews have high variance and a lot of times the interviews don't test what's required for the job, mini projects are a huge time sink for candidates too. Most candidates aren't going to spend a couple
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by pradeep_m 10y ago
True, but how often are candidates truly rejected because of non-technical abilities? I'd guesstimate that 75% of candidates are rejected because of technical abilities (didn't get design right or algorithm right or coding standar
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by pradeep_m 10y ago
I understand that there is variance in interviews. However, I don't understand how interviewing.io is fixing it? Or are you just collecting data to prove it?
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Ask HN: Do interviews give higher signal than an online tests like HackerRank's?
37 points by pradeep_m 10y ago|26 comments
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by pradeep_m 10y ago
Well, more than 50% of the companies have negative returns in the public market. So why do people invest in the public markets? For LPs, investing in VC firms is just to way to diversify and invest in private markets.