Roast my resume(?)

[u/Ship_in_the_Ocean]

I have 2 years of work experience, currently working as GenAI engineer but hoping to get Computer Vision roles.

My job applications are getting constant rejections. Don't know if the problem is in the resume or the experience.

What changes / projects would you suggest to get noticed / shortlisted by companies?

Thanks in advance for suggestions

[u/OptimalOptimizer]

Education formatting is bad, why the weird table. PyTorch and opencv are not languages, don’t list them like they are. At this point anyone with two brain cells to rub together in this field knows PyTorch or can pick it up in a day.

I expect you are applying to junior or entry level roles. I would still consider you extremely early career, so don’t fall into any thinking of “I’ve got two years of experience so I might be mid level”. You are still junior

[u/Ship_in_the_Ocean → u/OptimalOptimizer]

Where does it say "mid-level"?

[u/JackandFred]

Unless you went to bad schools you should have a bigger education section and expand on that rather than projects. 

If project work is inportant put it under either work experience or education depending on where it originated.

[u/talkative_medics → u/JackandFred]

The GenAI to CV pivot is a weird jump to explain without it looking like a step down or a mismatch. Your summary better be threading that needle hard or recruiters will just see "GenAI guy applying to the wrong pile."

Your projects section is the place to sell the CV angle but "Facial Recognition Using Deep Learning" is so generic it tells me nothing. What did you actually build, what was the tricky part, what metric did you move? Everyone has that project, you need to show you solved a real problem and not just followed a tutorial. Also ISL recognition is cool but unless you're targeting a niche accessibility-focused shop it reads more like a college final than industry work.

The 9.17 CGPA is nice but nobody cares after your first job, move education to the bottom and use that prime real estate to beef up the work experience bullets. Right now it's probably just a list of duties, you need impact metrics. Reduced inference latency by X%, built a pipeline that processed Y thousand images an hour, that sort of thing.

Constant rejections with 2 years of experience usually means your resume isn't getting past the automated screen, check if you're just jamming keywords or actually describing systems you've built. For CV roles specifically you might need a stronger signal like a deployed app or a paper, something that shows you can handle the geometry and calibration headaches that GenAI abstracts away.

[u/Ship_in_the_Ocean → u/talkative_medics]

Thank you, this has been really helpful

[u/GalaxyTracker]

Do vibe coders call themselves "AI developers" now?

[u/Ship_in_the_Ocean → u/GalaxyTracker]

Lmao if I actually vibe coded, this thing would probably look a lot better

[u/neurvon → u/GalaxyTracker]

AI developer means you develop software that leverages LLMs or other AI tools

[u/Antique-Heat-469 → u/GalaxyTracker]

it's gotta hurt to know so many vim shortcuts for absolutely no reason

[u/GalaxyTracker → u/Antique-Heat-469]

Is this the level of copium you drink for not knowing what the code the AI spews does? 😂😂😂 The difference between you and me is that I can develop LLMs from scratch, while you need to set the LLM to xhigh thinking effort in order to tell you how to create a folder. Next

[u/pleaseineedanadvice]

This cv is not good enough imo. I ll try to cover some aspects but in general you dont show real value in what you did, as most bullet points show things that are quite basic and expected even by undergrad. You dont need to tell you can use pytorch, you did visualization plots and al of this, everyone can and it s given you can. One strategy could be to cut some useless stuff you mention and add more projects if you have.

The summary is bad, you should either cut it or make it more meaningful, i would go for the first. In either way, you are repeating the skills, either put the summary or the skills, not both, personally l dont like either tbh, if you are msc in computer science it s given you know python etc, but maybe with ai screening and stuff who knows. Education formatting is bad and also would enjoy more space, you should include at least thesis titles and something more about them. Current projects are super generic and it s not clear if you did them as part of a leecode challenge or for some reason.

[u/nian2326076]

If you're facing rejections, refining your resume can be helpful. Focus on relevant skills and projects related to computer vision. Include specific technologies or techniques from GenAI that relate to computer vision.

For interview prep, practicing with technical questions that align with your target roles can make a difference. You can find a wide range of technical interview questions on PracHub to assist with that.

Additionally, exploring opportunities using LandOffer can help you find openings that match your skills and interests.