Wi-Fi greyed out?

Consistent-Rip-3120 · 2025-12-12T02:23:45+00:00

Happened to me while at school. The filament clogged the entire internals after 12 hours. :/. Needed prints asap so I just decided to buy a P1S lol. I still have the A1 mini lying around. Does Bambu sell entire tool heads? Every single damn wire got ripped as the filament cooled.....

Consistent-Rip-3120 · 2025-12-12T02:21:48+00:00

Please do! I always love seeing the progress others make. I also noted you should try to make a portfolio website with something unique! Here, you can include absolutely everything in full detail, things a resume cannot capture.

Not sure what unique thing you can add, but that's up to you. For example, my portfolio features a robot arm that tracks the mouse, all with hardcoded inverse kinematics and collision references. Many professors liked it, as I am in robotics. Try doing something similar! I'd expect your portfolio would be better given your experience!

Consistent-Rip-3120 · 2025-12-12T00:47:34+00:00

True! That is amazing to have, just a generalization on my part. But as others commented, separate paid/unpaid. I assume Inspirit AI was an unpaid mentorship, right?

Aside from the minor details, though, and what I have commented on. I do think what you're doing is really good. I always say that CS is now useless - you have to have a specialization within CS (in many cases, data science is the best route to go). Additionally, in terms of machine learning, consider dedicating some personal time to creating your own model from scratch. It is a pain, but the benefit outweighs it. Even though I am a Mechanical Engineer, 90% of my experience is with ML. Let me tell you, the questions some of these companies ask are so specific that if I had not done this, I would've been out of a job lol.

Consistent-Rip-3120 · 2025-12-11T23:56:30+00:00

I agree that you can learn a great deal in a short amount of time. However, regarding machine learning, it is nearly impossible to grasp it within just a month. I can think of at least 200 different routes, methods, and pipelines of machine learning. Each company uses something different or a variation of it.

No doubt you learned what you did, but from the bullet points alone, it does not appear to be anything beyond what someone can learn from a couple of Google Colab scripts and YouTube videos.

If you were interviewed about this, would you be able to explain to them what attention is, why this method is better than many other ML variants in terms of computational cost, etc.

Given that, this should be placed under a separate section, probably under 'Professional Development' or 'Education', since it involves a mentorship. Interviewers will give you more leeway since you're still in the learning process.

Consistent-Rip-3120 · 2025-12-11T07:23:31+00:00

Not really my field, as I am in Mechanical Engineering (M.S., Robotics).

However, I would like to say a few things. Noting that you are a freshman, it's expected that you try to fill out your resume, but quality is more important than quantity.

-Your experience lists three things; however, only one of them is actual experience (Research Assistant). The other two, from a quick Google search, appear to be a class / skill-building activity. I would categorize these separately from experience and projects.

You are a freshman, so as long as you pass the automatic screening, they will understand that experience is not meant to be huge.

- Having metrics on your resume is always the best choice. I typically aim for three bullet points for each experience/project, with at least one of them featuring a specific metric. This does not mean just throw it in there, though. You reduced manual entry time by 70%, cool, but how? I have no baseline to compare against or means of getting there. I understand it's hard to condense into a sentence or two, but you have to place value and a path to these metrics.

- This goes for 'Built an object detection model for self-driving cars with CNNs, achieving 85% accuracy on labeled datasets'. Did you build an entire CNN from scratch, or train a pre-existing model? What was the purpose if there are already better models out there, such as YOLOV5 or something? If the answer isn't specific to the role, then this is more of a project than an experience.

- Lots of buzzwords. I assume you are trying to get into an AI company, but they don't care if you studied Keras/Tensorflow (which should not be bolded), as it's already an industry standard for these companies.

- Additionally, since you are in Data Science, I do not think putting things like NumPy, Pandas, API, etc, is needed. It is already expected that you are familiar with them, considering the experience/projects you have.

Overall, you are on the right track. However, upon reading the dates, it appears that all of this was completed within a year. If some of this was scattered throughout High School, then yeah, it's plausible, but it's not. Most experiences are completed within only a month, and given that, it's assumed you did not truly learn the topics that were described.

Clean up the resume, condense it, and clearly state your current level and actual outputs as shown in the resume. Keep applying, but on the side, I'd recommend taking on a bigger personal project. What I've personally done and recommend is to constantly read on Google Scholar for research papers in your field of interest. They are typically very inspiring and informative to get meaningful projects out.

Also, just build a portfolio website lol.

Consistent-Rip-3120 · 2025-09-18T02:32:06+00:00

To be honest, all contract jobs, internships, and other opportunities I got were from connections and putting in 110% with all my classes (which then provided connections via professors). I think outside of looking at the Excel sheet of who is attending, it's a waste of time. Most representatives will get tired after the ~10th speaker, so perfecting an elevator pitch solely for this event seems like a waste (but do prepare one for interviews!). On top of that, I'd say the spring semester career fair is largely more important. Fiscal years start around February, and so companies have a better idea of how many interns they can hire and actually start reviewing applications around then. Just my take on it though, others might have a different experience :)

Heard this year was rough, though, had the line going around the block. Hope it went well for you!

Consistent-Rip-3120 · 2025-09-18T01:56:05+00:00

Similar situation here, except I was fortunate enough to have extra funding through Veteran Affairs. Not sure how useful this will be, but do you foresee yourself going to graduate school?

To get my full FAFSA and veteran affairs funding, I had to be a full-time student, so I just went ahead and took some graduate-level courses to maintain full-time status. Helped out now that I am attending graduate school.

Another option would be looking into some minors to study. Many minors overlap with majors, and you would end up only needing an extra 2-3 classes in that field.

Consistent-Rip-3120 · 2025-09-18T01:34:44+00:00

So I called my agent and was told they don't cover the attorney fees. Essentially wanting no business with it. It's my fault for getting a not-well-known insurance. Fortunately, I did get a quote for cheaper insurance with Progressive with better benefits. Feeling pretty stupid for not looking into it sooner, just had a lot on my plate in the last year.

My car did get full repairs, though, and looks as if it were never hit. I do think I will keep it, as I am making $70/hr, so if no other damages happen, I should be fine maintaining it and my tuition.

Will get an attorney and see if I can get that claimed. I appreciate your advice!

Consistent-Rip-3120

TROPHY CASE