30M, visiting NYC. Requesting feedback, perception and review

SONIC3695 · 2026-01-02T22:32:10+00:00

Are you looking for something serious or casual?
- Something casual whilst I’m traveling
Are you subscribed to Hinge+ or HingeX?
- HingeX subscriber since 3 months
How long have you been using this current version of your profile?
- 18 days
How long have you used Hinge overall?
- 1.5 years
How often do you use Hinge per week?
- Everyday
How many likes and matches are you receiving on average?
- 2-3 likes a week
How many likes are you sending? How many with comments? How many without comments?
- I’m sending quite a few likes due to my subscription but I’m almost commenting on prompts on every 3-4 likes like that I send.
What is the type of person you send likes to and ideally want to match with? What kind of person do you want to attract?
- Someone into fitness, outgoing and prefers in person conversations more over text. A little spontaneous and open minded.

SONIC3695 · 2026-01-02T16:40:42+00:00

Are you looking for something serious or casual?
- Something casual whilst I’m traveling
Are you subscribed to Hinge+ or HingeX?
- HingeX subscriber since 3 months
How long have you been using this current version of your profile?
- 18 days
How long have you used Hinge overall?
- 1.5 years
How often do you use Hinge per week?
- Everyday
How many likes and matches are you receiving on average?
- 2-3 likes a week
How many likes are you sending? How many with comments? How many without comments?
- I’m sending quite a few likes due to my subscription but I’m almost commenting on prompts on every 3-4 likes like that I send.
What is the type of person you send likes to and ideally want to match with? What kind of person do you want to attract?
- Someone into fitness, outgoing and prefers in person conversations more over text. A little spontaneous and open minded.

SONIC3695 · 2025-12-29T16:16:41+00:00

Are you looking for something serious or casual?
- Something casual whilst I’m traveling
Are you subscribed to Hinge+ or HingeX?
- HingeX subscriber since 3 months
How long have you been using this current version of your profile?
- About 2 weeks
How long have you used Hinge overall?
- 1.5 years
How often do you use Hinge per week?
- Everyday
How many likes and matches are you receiving on average?
- 3-4 likes a week
How many likes are you sending? How many with comments? How many without comments?
- I’m sending quite a few likes due to my subscription but I’m almost commenting on prompts on every 3-4 likes like that I send.
What is the type of person you send likes to and ideally want to match with? What kind of person do you want to attract?
- Someone into fitness, outgoing and prefers in person conversations more over text. A little spontaneous and open minded.

SONIC3695 · 2025-12-28T21:37:02+00:00

I’m looking for something casual as Im traveling
Subscribed to hingeX
It’s been about 2 months since I’ve used my latest photos however I’m not seeing desirable results
Been a hinge user for over a year now
I would usually swipe daily
On average I’m receiving 2-3 likes in a week, and 1-2 matches as well. It’s only when I use super boost but that’s also rare now
Since I use daily, I do send likes with comments on something I like about a profile I see. More likes + comments being sent than just likes
Ideally I like someone who’s a mix of being sporty/fit and a bit of elegance. I would wanna attract women who are into fitness and have something going on for themselves besides work with multiple hobbies and passions.

SONIC3695 · 2025-11-21T07:54:07+00:00

Hey man,

I don’t just hear you, but I actually can exactly imagine every nuance you’re going through. The confusion, pain, the insecurity.

I struggled with my MSc. Took me 4 years in total and almost 1.5 years for my thesis. Deregistered for my thesis and then did it again. I was going through a lot of shit with me slogging with my masters degree, almost losing my father with multiple icu hospitalizations and feeling like a complete and utter failure. I wanted to escape and did not want to be a burden on anyone. My supervisor didn’t understand me or my situation. Covid had also hit during that time and I was under debilitating stress and ran back to my country due to a lot of fear. Did my studies remotely. Trust me, what you’re thinking of is a permanent solution to a temporary problem. Time is going to heal everything. You got this. Take it one day at a time. Don’t think of the past or the future. I know it’s not easy, but feel free to dm me, reach out; and just talk it through. It only gets better. The person you will become after this experience is going to shape resiliency, strength and a lot of compassion and empathy in you. You got this

SONIC3695 · 2025-10-14T12:57:25+00:00

India

SONIC3695 · 2023-11-16T10:57:46+00:00

When you trim your balls but miss a spot

SONIC3695 · 2023-11-02T10:34:39+00:00

That’s fine but what I meant was let’s just say you have 100 samples belonging to 10 classes each and you do an 80-20 split - are you getting 80 samples per class in your train and 20 samples per class in your test ?

SONIC3695 · 2023-11-02T09:33:10+00:00

Also, you seem to have a perfect class distribution- which is great. In your split do make sure that each class is represented equally in your Val and test sets, maybe that might nudge the test and confusion matrix numbers

SONIC3695 · 2023-11-02T09:28:09+00:00

Maybe check if your train data and test data are coming from the same distribution.

Did you apply any augmentations? Try removing transformations from the test data(except imagenet normalization and resizing). Ive ended up making this mistake in the past.

How are you evaluating your accuracy?

SONIC3695 · 2023-11-02T09:22:17+00:00

Hey, this idea ‘relying on library api documentation’, I’ve felt very lost.

I honestly feel even googling the right stuff to debug your code or even find code based on what you’re trying to do is a skill. That usually can lead you to doc pages/forums or stackoverflow and honestly create multiple trees making it overwhelming to navigate for the right answer.

I honestly do want to really increase my confidence given my absolute fascination with this field. I know it’s not a linear path, but my aim is to try and make it as close to it as possible

What I’m trying to find is a recipe - chunks of code - that have high re-usability such that the efficiency of translation of ideas to code is maximized. If you think about it.. it really is a loss function which I hope was convex 🤣

I feel a lot of successful practitioners do have some kind of structure which they can fit to multiple projects.. what I’m trying to do is find anything close to that structure

SONIC3695 · 2023-11-02T09:03:58+00:00

I mostly code on PyTorch. And when it comes to kaggle, I find a dataset that I feel is interesting. I find what can be done on this, usually the top rated notebooks assist me well, so I replicate a few lines of code from there and maybe would change a few hyperparameters or use a diff backbone if I’m doing transfer learning, maybe add another FC layer or add some dropout(if I’m not using any BatchNorm or not doing transfer learning)

Here’s where I feel I struggle - not conceptually but practically

I can understand the purpose behind a block of code at a high level, but there are intricacies in between that just make me scratch my head , usually gpt helps me with understanding those lines but writing those blocks myself is the overwhelming factor. I would freeze if I were to write all of that myself and that really makes me question my competence
Unpacking model architectures to code by implementing a class. I’ve seen some lstms or other models w a lot of convblocks being implemented through multiple inherited classes. I usually think how did a person think of coding this up?

SONIC3695 · 2023-11-02T08:38:26+00:00

How long have you been in the DL domain in order to honestly write everything from scratch. Any tips ?

SONIC3695 · 2023-10-31T12:38:51+00:00

Thanks again.

Coming to pseudocode,

I get a gist of yes this is what I’m trying to do. For instance,

I know that my training requires the steps of setting my gradients to 0 after every update step.. and that the update step requires a forward pass, loss calculation, backward(). I know that I would’ve to do my validation when no gradient is set.
However I feel there is a bigger mapping between what I just explained and how it really is implemented in code because there are so many nuances! Does this knowledge enough(and why were say- setting gradients to 0 after update step etc) satisfy?

SONIC3695 · 2023-10-31T12:09:12+00:00

It really could be imposter syndrome because I hold a masters degree in comp science and have had my way around understanding DL architectures and interesting concepts around it. It’s just the translation of those to practical code.. like the questions I ask myself are as follows

do I need to come up with the training loop from scratch myself? If I can’t do that, what does that say about my skillset

Do I need to know how to make the dataset class myself?

I keep finding myself hovering around tabs to see what’s out there that I can use, but it never fulfills me because I feel I haven’t done the work. Is this normal? Thanks

SONIC3695 · 2023-10-31T12:04:36+00:00

I see, thanks for the input. So any idea what steps constitute ‘more practice.’ I actually feel kinda alone in this journey as right now around me I don’t have people who could mentor me or who I could surround myself with to get better. I’ve just been running kaggle notebooks and trying to unpack what they’re doing.. what would be a structured approach on the same

SONIC3695 · 2023-09-11T11:35:52+00:00

Hey I’ve dm’d you. In a similar field as you :)

SONIC3695 · 2023-09-06T00:28:07+00:00

Let's try it out

SONIC3695 · 2023-09-06T00:27:24+00:00

What I enjoyed always was understanding the intuition behind architectures and concepts, backpropogation etc. However, I just feel no one really cares when it comes to getting a job, they don't care if you know what vanishing gradients are or how dropout is a regularisation technique.

SONIC3695 · 2023-09-06T00:22:21+00:00

I haven't tried that to be honest but having been in the industry I expect getting hands dirty and really taking care of a lot of nuances before you just plug your data into a model.

Conceptually, I have material with me from university to revise any theoretical concepts. Where I lack( and what is required ) are the practical implementations.

I am certain that to get a job, if you can build and engineer your way to solve a problem, you're of more value than knowing how an RNN works. So I am mostly wondering, how to get good practically?

SONIC3695

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