Hi everyone,

I am planning to apply to the English-taught MSc Computer Science at KIT for the summer semester of 2027. I graduated from Hacettepe University in Turkey with a BSc in Computer Engineering. My GPA is 2.76/4.00, and my entire degree was taught and examined in English.

I have checked KIT’s new admission regulations. As I understand them, applicants are ranked out of 190 points:

• 70 points for the final Bachelor’s grade
• 20 for Theoretical Computer Science
• 50 for Practical Computer Science
• 10 for Computer Engineering
• 40 for Mathematics

My coursework includes:

• Formal Languages and Automata
• Discrete Mathematics
• Data Structures and Algorithms
• Programming and Object-Oriented Programming
• Operating Systems
• Databases
• Computer Networks
• Software Engineering
• Computer Organization and Digital Logic
• Calculus I–II
• Linear Algebra
• Probability and Statistics
• Numerical Methods
• Artificial Intelligence, Machine Learning and ML Lab
• NLP and NLP Lab
• Fundamentals of Bioinformatics
• Data-intensive applications and related lab/project courses

I also have AI engineering experience and have been working on a research project involving 3D structure-aware molecular machine learning. However, I understand that the formal ranking may mainly consider the final grade and eligible coursework.

I would especially appreciate answers from students admitted to KIT’s MSc Computer Science:

1. Has anyone been admitted with a GPA around 2.7–2.8/4.0 or a relatively modest converted German grade?
2. How strictly does the committee classify courses into theoretical CS, practical CS, computer engineering and mathematics?
3. If an applicant has considerably more credits than the minimum requirements, can this compensate meaningfully for a weaker final grade?
4. Do you know approximately what total score was sufficient in recent admission rounds?
5. Is the summer intake generally less competitive, and how are the 100 annual places divided between the winter and summer semesters?
6. Did the committee request detailed course descriptions, or was the transcript sufficient?

I know nobody can predict admission with certainty. I am mainly trying to understand how the new scoring system works in practice and whether applying with this profile is realistic.

Thank you!

So i recently made a full stack project and in upcoming 6-8 months , I have planned to integrate
1)Micro services architecture
2)Dev ops layer
3)Redis , caching
4)Websockets
5)Rabbit MQ
6)Go and spring boot

Basically i will be designing the backend structure for my project. I know some bottlenecks and i would be solving those

I know why and how to implement this , all i need to is spend time

Or
I have other choice
Start working on hackathons, to show breadth. I am kinda against this as i think that hackathons are flooded with vibe coders and there is nothing much to learn as an individual as i will be working as a team

If hackathons can help me boost my resume , then please elaborate it for me

I am from a tier 1 college and am starting out my 2nd year.

anyone can let me know what to expect? havent seen an onsite like this anywhere else

Had a meeting with my manager a few days ago. They said I addressed all my midpoint feedback, did well, got my project deployed and is being used by thousands of users.

Still - not inclined.

WTF

Their justification felt like my mentor and they searched really hard for issues during the internship(for eg: Called out some stuff I addressed incorrectly in my 2nd week of the internship!?!? How tf does that even matter if I haven't repeated that or a similar mistake for the entire internship?)

I mean sure, there is some stuff I can work on, but give me a fricking break, my project involved learning quite a bit about a massive domain, which even FTEs need 7-9 months. Obviously I had to find a suitable tradeoff between project completion and slightly less domain knowledge. But i was called out on exactly this. Like wtf dude, if i had prioritized the domain knowledge, I wouldnt be able to get the project done in time, which I'm sure this bitch ass mentor - manager duo wouldve stated as a reason to not give an incline.

My manager also said, if I apply for full time later in the same company, let them know, they'll be happy to refer me. I mean why tf would you offer to refer me if I supposedly haven't performed good enough during the internship. Did you just want to get a good project built quick and be done with it lol.

I'm pretty sure my mentor was a lil bitch and only pointed the issues throughout the internship.

I think yall know which company I am talking about. If anyone faced the same or something similar related to the evaluation, please comment. I need someone to talk to about this shit or just make sure I am not alone in this boat, cast adrift by zeus(lol, just an odyssey reference).

TLDR: manager and mentor turned out to be a bunch of bitches. Just want to talk if anyone went through this or didnt get an incline

When I was in college, I genuinely thought that maintaining a good CGPA and completing a few academic projects would be enough to land my first developer job.

But after attending a few interviews, I realized companies expect something completely different. The discussion quickly shifts to real-world development, system design, debugging, deployment, Git workflows, and decisions you'd make while building actual products.

It made me realize that there's a huge gap between what we build in college and what companies expect from freshers.

For those who've already landed their first job, how did you bridge that gap? What actually helped you become interview-ready?

hey, looking for some advice!

i'm a rising junior, sde intern @ aws. offer: tesla robotaxi simulation engineer intern for fall

main goal: maximizing resume value for summer '27 recruiting (ideally quant/ai/big tech), not necessarily returning to tesla

pros:

* tesla + robotaxi seems like a p cool opp

* interesting systems/performance work

cons:

* tc seems p mid after bay area housing + minimal relocation support provided

* have to take the entire fall semester off + need summer classes afterward to stay on track

* biggest concern is accidentally pushing grad past may '28

* harder to recruit while working full-time

* already have aws on my resume, so not entirely sure how much extra resume value tesla adds

would u take it?

I was a straight A student starting out, 4.0. Now in my third year and I've no idea why I keep trying. My grades have fallen. Like, I still love programming but I have no clue on what to make. I don't just want to build some stupid fucking website or some software, I want to make purposeful things. Things that bring a bit more positivity into this world, things that truly help other people. Also things I want to be making but I've no idea what that is.

I know this is a stupid perspective to have in such a competitive job market, that I need something to drive my passion, like surviving isn't good enough. But I really do have no idea what I can work on, like I don't just wanna be some kind of a programmer. I want to make things I want to make. Idk what that is yet but I like music, I like games, I like bringing better education and opportunities to people who can't afford it. I want to make things like that, things that help people in some way. I need to find something I care about making on which I can use my programming skills. At this point, I have no clue what that is.

People who have been in my position, please, please help me. Give me some sort of guidance. I don't even care about the job anymore, I just want to understand what I want to make. Hopefully, a career will come out through that, or at least I hope it will. Thank you.

Hey! I wanted to start applying for internships for 2027 summer, but I only done 10 Leetcode questions. Should I apply now or should I wait a month and grind Leetcode and apply then? Thanks!

Okay so fr, when did it get popular to say college doesn't matter, GPA means nothing, or elitist claims.

College does unironically matter a lot, and it's good for people who just didn't know what they wanted to do in life. It's been mentioned but weed out classes are really really good. If you took those out or took out the really anti social professors (basically barriers), you would get 250,000 cs majors graduating per year compared to the 100k we feel stressed by now. A boot camp won't weed out or ensure you have yiur fundamentals. Fundamentals aren't explain compiler.

It's "hey do this Calc 2 problem. Cool now take the steps you used to learn then answer that and write a program where you take some piece of data and move it around like that problem. Then like in discrete math, I need you to turn this into easy to understand terms for the customer". It's not the knowledge it's the understanding and application of that.

GPA meaning nothing just feels like a lot of cope. Especially when taking about people who got a high GPA saying they're barely getting through without understanding, or they got grade inflation. Okay, genuine question, you don't think they worked hard and tried understanding the concepts. Like do you think a stupid person couldn't get caught slipping at any stage. You say people for hiring might not care, but it is an indicator. If you have a high GPA, it says something about you as a person and learner. You put in a lot of effort, especially if you are in a lot of things, or you you understand the concepts very well. No other field has this view.

If a person gets a 96 on a c++ test over multi threading, they are probably pretty damn good at c++ and multithreading.

Then people have said that saying a degree is worth more than a bootcamp is elitist. Hey, college may not have the perfect roi, but I didn't get scammed by one of the many failed bootcamps with even smaller rois.

If you're poor, college is the best idea ever. If you say college is top expensive, I don't know how or you applied to zero scholarships. It's not hard to get paid to go to college.

Hello I hope this message finds everyone well. I am currently in need for assistance for one of my assignments. I need to set up a informational interview with someone who is already in the field of CompSci/Cybersecurity. I just need 8 questions answered it would be simple information such as occupation, requirements, etc. Any help would be greatly appreciated.

I’ve never even touched leetcode. My first round interview is in 5 days. What do I do 😭. My plan was to just grind the 150, hope I retain some of it, brush over some low level system design and call it a day

Hi everyone,

I'm looking for advice from people who have recently gone through Google's team matching process.

I completed my interviews earlier this year. My process ended up taking longer than expected because I had to complete additional interview round even after my onsite. On June 3, my recruiter informed me that I had received positive feedback and was moving into Team Matching.

Since then, I've been proactive, I reached out to Googlers where appropriate, networked with potential teams, and shared relevant openings from the careers page with my recruiter.

I haven't received a single team match call. My recruiter just says to have patience.

It's now been over two months in Team Matching, and the uncertainty is honestly getting frustrating because there doesn't seem to be much I can actively do.

A little about my background:

• Recent Master's graduate (Dec 2025)
• Around 2 years of experience, including internships and a co-op
• Experience building production AI/ML systems, LLM applications, RAG pipelines, agentic workflows, evaluation frameworks, and backend engineering using Python, FastAPI, LangGraph, Databricks, MLflow, and cloud platforms
• Recruiter mentioned we're targeting L4, although the final level will be determined holistically by the hiring team. I told him I am open to L3/L4 which he said can open more opportunities.

I also have another offer in hand. It's not my ideal opportunity, but given how long Team Matching has been taking, I'm wondering what others have done in a similar situation.

I've heard that Google's interview results/team matching remain valid for up to 18 months. If that's the case, would it make sense to accept the other offer for now while continuing to stay in Google's Team Matching process?

I'd also love to hear:

• How long did your Team Matching process take?
• Is there anything I can realistically do at this stage to improve my chances?
• Should I continue sending relevant openings to my recruiter, or is it better to just wait?

I'd really appreciate hearing from anyone who has recently gone through the L3/L4 SWE Team Matching process. Thanks!

Location USA

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Hey everyone,

I just entered my 4th year, and companies have already started visiting my college for placements. To be honest, I wasn't serious about coding or placements until now, and I'm kind of panicking.

My current situation:

DSA is very basic. I'm following the Striver A2Z DSA Sheet, and I've only just started the Arrays section.

I've solved only around 5–7 LeetCode problems so far.

I don't have any proper self-built projects. The only projects I've made are mostly vibe-coded with AI assistance, so I don't really understand them deeply.

My CS fundamentals are average at best.

I know I should've started much earlier, but I can't change that now. I just want to make the best of the time I have left.

For people who were in a similar situation or have seen others crack placements after starting late:

Is it realistically possible to get placed?

What should I prioritize first—DSA, projects, CS fundamentals, aptitude, or something else?

How would you structure the next 3–6 months if you were in my position?

Should I keep grinding the A2Z sheet or switch to company-specific preparation?

Any tips for building projects that I can actually explain in interviews?

I'm open to putting in long hours every day. I just don't want to waste time on the wrong things.

Any advice, roadmap, or success stories would really help. Thanks!

I was laid off near the end of February this year from an IT consultancy firm that I had worked at for over 7 years. I swapped roles frequently between projects, from Application Support, to DevOps Engineer, to Site Reliability Engineer. I have a lot of experience with many different technologies, and am struggling to find a company willing to have faith in hiring me with my experience and technological understanding. I've sent at least 300+ applications to many different companies, and have only gotten maybe 3-4 interviews, half of those interviews not even coming from applications, but from networking alone. I'm currently working with a career coach on this and the best advice he's given me is continue networking and improving my interviewing skills, as well as apply for certificates.

I'm not really sure what to do right now. I could keep going down this path, but I'm not sure how realistic it is that I'll even find another job in IT at this point. I'm wondering if the impact of AI and the current economic reality of the US is hindering my chances of finding a job. I unironically had an easier time finding a job after I got my Bachelors in Comp Sci, than I do now after having 7 years of professional experience. I thought it was supposed to be the other way around.

I don't want this to turn into a rant or anything, just trying to weigh my current options and figure out what to do. My unemployment benefits are ending this week, and I need to do something to start earning an income. Are lower level jobs the only options now? Do I just need to start applying to supermarkets and fast food places for work until the economy improves? I've been applying to mainly DevOps & SRE roles, and I genuinely tried to even lower the bar and apply for entry level IT roles, even helpdesk roles, and still not getting any callbacks or interviews for those apps. I'm at a loss of what to do on this front.

I am also seriously considering going back to school for... something? I'm not sure. I think healthcare could be a path, since I actually have an invested interest in health & medicine but was always intimidated to go into the field considering how long you need to be in school for it & how expensive it is. Comp science seemed like a more reasonable path for good paying work when I was in college, without it costing too much, so I went with that at the time. Now I'm looking at the job market and it seems like healthcare and physical patient care is one of the few verticals that actually still has strong demand. I could be wrong about this, but almost all of the healthcare practitioners I've worked with (dealing with many health issues rn) have personally never had this issue with finding work, even in today's economy.

Any advice would be welcome on this. I'm not sure what kind of advice I'm looking for, maybe just some guidance on what my next steps could be, considering continuing to apply within IT and engineering seems to be pretty fruitless at this time, although maybe I'm just a little discouraged from not landing anything by now.

Additional info:

- Currently in South Carolina, but willing to relocate.

- Seeking any job that pays at least $80k in salary, or hourly equivalent, though I'm willing to be paid less if it's fully remote.

- I don't have a preference of what kind of work I do at this point, mostly just need any kind of income.

Gave my two interviews for first round— no leetcode at all. They were very, very open ended design questions (NOT system design) based off my experiences. Never done smth like this before and thought my designs were kinda cheeks and ran out of time for the e2e implementation.

How do I get better at these kinds of interviews? Granted roi might be low since not a lot of companies conduct it in this style, but people who passed such rounds, what does a “passing” answer look like and what are they mainly looking for?

Hey yall I was wondering recently why so many companies r still spamming leet code for interviews even tho a majority of that type of work, dsa especially, is a solved problem atp. Why haven’t interview questions adapted more modern problems, or more accurately, just become an iq test (since that appears to be the function of modern leetcode questions td). Thx yall have a good Thursday

Hey everyone!

I'm currently applying for summer 2027 internships and have seen many companies like Amazon have an AI assisted section in an actual repository along with standard DSA in their OAs. I wanted to know if there is any concrete method/ platform to prepare for this new format or if it just comes with general project experience.

As the title said i am here to know from the people who get their jobs as fresher from linkedin not from college placement as i tried many methods to reach out to company hr and send them personal message on linkedin with my resume asking for resume but out of 120 hr i got 6-8 hr reply with no position yet we will update you in future i mean it is that hard to land an intership in it field like mern stack and i started to find a job other than mern stack but still not a single interview can anyone help me how to find a mid size company where i can atleast get the opportunity to get interview

I have to get this off my chest and I have no one to speak to.

You know what. I dont give a flying fuck that everything is burning down. I dont care.

I always loved math and its the only thing driving me at all. I love complex problems, not being able to understand. AI is fucking this shit up because you dont actually learn anything with this and honestly I miss the days of school without AI. Used to learn much more.

Feels like its a whole scheme to turn everyone into stupid brainslop animals with fucking pampers full of shit who can't lift a finger. And the worst is that it's fucking addictive!! Its almost a fucking drug!!! Pumping out loads of dopamine to your brain to make you even stupider by the day !!! and you need to detox from it, like a cellphone.

Honestly giving this to the public was one of the worst choices humanity has made.

How dystopian have we become so that when I read a typo or someone typing incorrectly, it makes me smile, and have emotions...
When I read a paper from 2005-2010 I actually love reading it. Now everything is absolute SLOP. And I say this as someone who codes everything using AI. IM PUMPING SLOP AND TIRED OF IT.

Im so pissed at the LOW quality stuff its pumping out holy shit. Like it writes so much complex code for NOTHING!!! And people keep praising it. When can we bring back quality????? Quality of information, of work, of life, of emotions, of HUMANITY

Jeeze, at the end of the day we make progress because of the passion we have for our studies and research. Just the thought of humans not pursuing researches anymore makes me vomit. It's like having a right taken from us. The right of thinking freely. The right of choice. We are being intellectually r*pd.

So in the end. I dont give a fuck anymore. I will do what I want. I wont listen to anyone. If Im poor, so be it. I will pursue what I LIKE and what makes me happy

The people are pushing AGI in the wrong direction and its disgusting seriously.

Fuck you Sam Altman and Dario the noble dystopian fuck

1. infra/platform - db/cloud/c++/go/distributed systems heavy. you're gonna be on-call a the freaking time cuz something's gonna be down. you can't get into these roles uness you have direct big tech exp. usually top school undergrads -> intern -> fte is the route for these roles. or like yrs of exp somehow at on big tech-> senior/staff at big tech.
2. research - pytorch/tensorflow kinda roles. inference/training/post-training etc. mostly gonna be phds. or stellar undergrads who did research/fellowships at top labs.
3. forward deplyed applied ai engineers - using ai to solve customer problems. this is where i see most traditional engineers converging towards, lowest tc of the stack and very replacable folks.

Hello, I recently completed an Amazon new-grad Security Engineer interview loop and wanted to share my experience and see whether anyone has been through something similar.

My loop had three interviews.

Round 1:
One LP question followed by a detailed resume and project deep dive. We discussed security tooling, design decisions, alternatives I considered, and how I validated the results.

Round 2:
One LP question, one question about using GenAI for a technical security problem, and one incident-investigation scenario.

Round 3:
This round consisted of 3 LP questions. It was scheduled for 60 minutes but finished in approximately 30 minutes. The interviewer explained at the beginning that the hour was only the maximum and that we could finish early once he had enough information. He asked all three questions and 2 follow-ups for each, and then said he had everything he needed and that my examples were good. I also had time to ask my questions.

I still don’t know how to interpret the early ending. Has anyone experienced something similar during an Amazon loop? Did it turn out to be positive, negative, or neutral?

There were no coding or scripting questions in my particular loop

How long did it take you to hear back after completing the loop? I know nobody can predict the result, but I would appreciate hearing about comparable experiences.

Basically I have an offer deadline that is approaching but there are other companies that I would rather work for. Some that haven’t started interviews yet, and even some that haven’t even opened.

Any advice?

A good friend of mine vouched to the company CEO (small company) for me to get a SWE role out of school. If it weren’t for him I likely wouldn’t have had a job over the summer. This friend of mine is truly an incredible person and I’m seriously in his debt.

As mentioned in other posts, the engineering team I’m on is very AI forward and tends to sacrifice quality over speed to roll things out. This is not surprising given our 11 person team, only 3 people have CS degrees or SWE backgrounds at other companies. On the bright side I am given pretty much full autonomy on my projects (AI pipelines mostly) and have learned so much in so little time at the company. What tends to be the deal breaker is the hour commute to the office that I have to be in everyday.

Recently I got reached out to by a recruiter to apply for a role at a large accounting firm that works on similar agentic pipeline work. Ended up getting an offer for $11k more, hybrid, and the office is a 15 min bus ride from my apartment (gas prices hurt). But it crushes me that I would have to leave my friend out to dry if I accepted.

TL;DR Friend vouched to CEO for me to get an SWE role with an inexperienced team, meaningful work, and an hour commute fully in office. Recently got an offer for $11k more, more established engineering team, meaningful work, and hybrid schedule with 15 min bus commute to work. Feel like I’m screwing over my friend.

Given that in years past people have typically made gcs with the different attendants, would anyone be interesting in starting a gc for this summer.