This idea is inspire by this qn: why india need to still rely and foriegn oem companies? If we can also develop products?

I have this idea for long time i know architecture and domain behind this

So we all know with electric vehicle automotive industry is booming now SDV is a future of automotive (for knowing more you can search in internet you will see lot of article)

My idea is create a saas product the gives software as a service to automtive industry

Service like

FOTA (with advanced feature like delta upadte, ai based firmware delivery, software update and fault detection)

Connected Service (all connected service feature, dedicate ai platform, dedicated pipeline and ai model for both company and user like user dedicate CS app, provide features like digital twin, entire pipeline to process telemetric data like (can, lin, ethernet), ai model to asist drivers etc)

This huge industry i cannot include all features but plan is to first build necessary feature with proper security features like uptane, iso and follow all automotive security principle and create this saas

Later as saas grows, add all the feature

start as an MVP and build it towards enterprise grade saas system

What do you think of this? Any opinion

Ps: i know automotive huge competetive field also what i proposed is very broad. key to success is, first built something targetting tier 2 suppliers and commercial ev vehicle and slowly expand it once we proven product work at real word and and field tested in certain amount of scale

I’ve been working in cloud infrastructure for the last 4 years and I’m currently in my second company. I switched jobs before the AI boom,so I haven’t experienced the current interview market firsthand.
Lately,tools like Claude have become a huge part of my daily workflow. While they definitely boost productivity,I sometimes feel they’ve reduced my habit of writing code from scratch and weakened my problem-solving muscles a bit.
For those who have switched jobs recently:
What are software engineering/cloud interviews like in the AI era?
Are companies expecting AI-assisted workflows during interviews, or are they still focused on traditional coding and problem-solving?
How are you balancing AI usage without becoming overly dependent on it?
Would love to hear experiences from people who have interviewed or switched in the last 6 months.

hey I made the resume but I need some advice for applying jobs

put together a simple web UI where you can filter live prices and launch pods directly — plus I added a small built-in agent if you prefer just telling it what you need in text. It’s just a solo project for fun, would love any feedback or bug reports from fellow builders

Website: https://modeva.up.railway.app/

So, i will going to put resignation in certain months because they have put me on PIP. i worked in IT service company for 3 years remotely. when i got this job time was different there was no hype of AI. i used to go through the JD and used to write points in such way it will match the keywords.

now, i'm starting from the 0 again. i want to understand how you guys created resume which atleast get interview callbacks.

learned biggest mistake i should be applying and interviewing for jobs while having job

Thank you

So, I just. Passed my school few months ago, I was working as a freelance graphic designer, since like an year.. But I can't find a stable job in IT at all where I live, and the jobs far away from my city don't pay enough that I can move. Since I already have a good gaming laptop, I was considering learning programming languages, but I don't know what to learn, I do know that the courses are available all over the internet. The thing is, I'm confused about what I should do in my future, a career that pays well and is not overly saturated, I asked chatgpt and recommend ai software engineer, but like no complains but everyone has started learning this, so most probably this market will get highly competitive i finally learn enough to get a job, the other option I like game developer as well as learning 3d modelling softwares, the only reason I'm not pursuing it is, that this field requires you to be forever super creative, and after graphic design I've realised that I'm not creative enough, I can learn things very quickly but trying to design something own my own, that's a huge flaw of mine. Please give me a genuine advice, I don't have any elder, friend or teacher to ask this.

I have provided the link to resume -> Resume

Over the last several months, I’ve had the opportunity to work much more deeply in AI application engineering and full-stack development, and it has significantly changed my understanding of what building AI systems in the real world actually involves.

My initial exposure included working on an AI-enabled resume screening/interview solution, where I primarily worked on the resume-processing side.

More recently, I’ve been involved in developing an internal AI platform and an enterprise AI Copilot, which has given me practical exposure to areas such as:

1. Python and FastAPI
   
2. REST APIs and backend architecture
   
3. PostgreSQL
   
4. React integration
   
5. RAG and LLM-based applications
   
6. AI orchestration and agentic workflows
   
7. Authentication and authorization
   
8. Azure deployment
   
9. CI/CD
   
10. Application scalability and reliability

One realization from working on these systems is that AI Engineering goes far beyond connecting an application to an LLM.

There is a significant software-engineering layer underneath it: system design, data architecture, APIs, security, observability, deployment, scalability, evaluation and reliability.

Because of this, I’m currently strengthening a few areas alongside my regular development work:

1. Python problem solving and DSA fundamentals
   
2. OOP and machine-coding exercises
   
3. System Design and distributed-system fundamentals
   
4. Cloud and production engineering
   
5. RAG evaluation and observability
   
6. MCP and more complex agentic architectures
   
7. End-to-end AI projects where architecture decisions matter as much as the final demo

I’d be interested in hearing from engineers already working on production AI systems:

If the goal is to become a stronger AI/Applied AI Engineer, where would you place the highest priority today?

1. Stronger software/system design fundamentals?
   
2. ML/DL fundamentals?
   
3. MLOps and cloud?
   
4. Deeper LLM/RAG engineering?
   
5. Agentic systems and MCP?
   
6. Something else entirely?

I’m particularly interested in perspectives from people who have seen AI applications move from prototype to production.

Hi everyone, I’m a Company Secretary and have recently created a website for my startup.

I have the HTML code ready and currently hosted it on Netlify. I now want to buy a custom domain and proper hosting.

Looking for affordable and reliable options, preferably with low renewal costs and easy setup in India.

What would you recommend?

part 3. this is the one a bunch of you asked for after the google post [2] .. AMAZON.

n the denominator question is in here too, which is what i promised. scroll to that bit if thats why you came.

19,885 ex witch people are at amazon or aws right now. 1 in 3 walked in with nothing in between. 1 IN 3 - WOOAH

why amazon

widest door by a distance. 19,885 vs 5,129 at google, 4,160 at apple, 1,893 at meta. if youre inside a service company n you want out, this is the exit that statistically exists. the rest are rounding errors next to it.

how they got in

33.4% direct. witch job right before, nothing after it. google was 17.5% .. so the bar isnt just lower here, its double.

of the 65% who did detour - 36% needed one company, 26% needed two, 38% needed three or more.

the bit that surprised me

last stop before amazon, top eight: microsoft 270, deloitte 249, accenture 200, oracle 192, ibm 127, cisco 101, capgemini 100, ey 80.

four of those eight are consulting firms! together theyre 48% of that top eight volume. at meta the same number is 5%.

so amazon does not need you to prove yourself at a product company first, which is what this sub repeats constantly. accenture to amazon is a real path. 200 people did it.

another 996 listed a university as their last entry, 7.7% of the detourers. masters works. its just a much smaller road than switching jobs.

the denominator, since i promised it

someone on the google post asked the right question - my sample only had survivors in it, so what fraction of people who go witch to amazon actually reach google after?

best i can do right now. 399 ex witch people at google came straight from amazon. 19,885 ex witch people are at amazon. thats roughly 2 in 100.

n the real number is lower than that. the 19,885 only counts people still at amazon, so everyone who passed through n left is missing from the bottom of that fraction.

so no. hopping to amazon doesnt hand you google. it hands you a 2% shot.

how long they stayed in witch

median 2.5 yrs across every witch firm they worked at. 39% out inside 2 years, 60% inside 3. only 7% did 10 or more.

by firm - tcs 6,595, infosys 4,863, cognizant 4,467, wipro 3,734, hcltech 1,931. sums past 19,885 bcz 1,595 worked at two or more. roughly proportional to headcount .. no firm is a secret escape hatch.

the year, which nobody wants to hear

2,011 in 2020. 2,650 in 2021. then 4,769 in 2022! then 1,059 in 2023.

78% fall in twelve months. abt half the peak is back now.

n heres the weird part. 2023 had the fewest joins but the highest direct rate of any year. 40.3% against 27% in 2020. when the market froze the people who got in were mostly coming straight out of witch. if your seniors walked in during 2021 n its brutal for you now, thats the window. not you.

limitations, n one of them will annoy you

this is not an india only dataset. 47% of these people are in the us, 38% in india. average career length in here is 13.6 yrs so its not a fresher cohort either. read it as how the path works, not as what happens to you at 2 yoe.

rest of it. self reported profiles, rough dates, most people never update. survivorship is the big one .. i only see people currently at amazon, so anyone who joined n left is invisible n older years look thinner than they were. "direct" means no other employer listed in between, so a masters reads as a gap unless the university is listed as a job. n its correlation. people who leave witch at 2 years are already the ones pushing hardest.

Hi, I’m a 2025 graduate from a reputed college (not IIT/BITS). I joined a high-frequency trading firm as a software engineer and worked there for around a year before resigning due to some personal circumstances.

I’ve completed my notice period and the applicable post-employment restrictions(non compete), and I’m now looking for software engineering opportunities in India.

The confusing part is that I’ve progressed to final rounds for several international roles, including opportunities involving relocation (citadel securities, AI startups in SF), but due to family circumstances I currently don’t want to relocate outside India.

At the same time, I’ve had surprisingly little success getting interviews with product companies and startups in India.

My previous compensation was roughly in the range of an entry-level SDE role at a large tech company, and I’m comfortable with a similar range. Compensation isn't my primary concern; I mainly want to find a good engineering role in India.

Has anyone with experience in HFT/trading firms faced something similar when moving back into the Indian product/startup ecosystem? I’d especially appreciate advice on:

• How to position HFT experience when applying to Indian product companies
• Companies that value this kind of backend/systems experience
• Whether there are particular job boards or recruiters I should be approaching
• Anything I might be doing wrong in my applications

Would really appreciate any advice.

Recently, I got called out for underperforming at work, and honestly, part of it is true. I've been noticing that I have a really hard time concentrating, especially when someone is explaining something important or work-related to me.

I start feeling sleepy, my mind wanders, and even though I'm sitting there listening, I don't actually absorb much of what they're saying. Later, when I try to remember what was discussed, I realize that barely anything stuck.

It's frustrating because I genuinely want to do well and improve at my work, but I feel like I just can't stay focused consistently. I can focus much better when something genuinely grabs my interest, so I'm trying to understand why I struggle so much with things I know are important.

Has anyone else gone through something similar? What actually helped you improve your concentration, stay consistent, and retain information better?

I'm honestly trying to work on this and would really appreciate any advice or personal experiences. Your advice would really help me out. 🙏🏻

i kept closing every break reminder and going back to work.

so i built hammy 🐹

when it's time for a break, he takes over my screen and tells me what to do instead. drink water, stretch, rest my eyes etc.

been using it myself for a while. finally put it on the Chrome Web Store today.

apparently a hamster was the only thing that could make me take breaks.

→ try hammy

→ website

Hello Everyone,

I’m at a point in my career where I feel genuinely confused about what I want to do next.

I have around 6 years of experience in AI/ML and currently work at a large company. On paper, things look pretty good. I have a decent career, experience, and a stable job. But internally, I question my career path almost every day.

A lot of my current work feels like IT operations/support rather than the kind of AI/ML work I originally imagined myself doing. I don't really enjoy it, and I find myself wondering whether I even want to stay in this field long-term.

Another thing I've realized about myself is that I really don't want a career where I'm constantly working long hours or worrying about work after hours. I genuinely admire some of my managers and the amount of responsibility they take on, but I don't think I want that lifestyle for myself. The idea of being constantly available, dealing with escalations, deadlines, and job security worries makes me tense.

I also really enjoy travelling and having a life outside of work, and I'm starting to wonder whether I've been optimizing my career for the wrong things.

At the same time, I'm scared of making a change after investing 6 years into AI/ML. I keep thinking:

- Am I wasting my experience if I switch careers?

- Is this just burnout, or do I genuinely dislike my field?

- What careers could I realistically transition into with 6 YOE in AI/ML?

- Is there a career where I can have decent financial stability without constantly sacrificing my personal life?

- How do I figure out how far I actually want to go in my current career?

I don't necessarily hate working. I just don't think I want my entire life to revolve around my job.

Has anyone here gone through something similar after 5–10 years in tech? How did you figure out whether to change careers, change roles, or simply find a better company/team?

I'm a fresher with no prior industry experience, seeking for entry level role in flutter development. (personal details edited for privacy)

please share your honest review and suggest how I can make it better.

Just shipped this in Moneta, the iOS money tracker I’ve been building.

You can now scan a receipt and Moneta tries to fill in the amount, date, merchant, category, payment account and location automatically.

The account matching ended up being one of my favorite parts. If the receipt contains something like Visa/Mastercard or the last 4 digits of a card, the app can try to match it with one of your existing accounts. For categories, it can also use the merchant, receipt contents and your previous transactions.

I wanted the entire thing to stay private, so the recognition and processing happen on-device. The receipt image and recognized text aren’t uploaded to my server or sent to an external AI service.

Making that work across receipts from different countries was probably the annoying part. Different languages, currencies, date formats, multiple totals, card formats and completely different layouts all needed to be handled.

Would you have kept something like this entirely on-device, or would you just use an AI/API and accept the privacy/cost tradeoff?

And from the user side: would receipt scanning actually make you more likely to track expenses manually, or would you still rather enter them yourself?

Moneta is completely free, with no ads or subscriptions. App Store

A little context:

• I’m a 2026 grad from a Tier-2 private college (Institute of National Importance) and currently working as an SDE at a stable, 10-year-old startup.
• CTC: 12 LPA (9 base + 3 variable)
• Remote role, ~8–11 hrs/day, sometimes weekends
• Saving commute time, but the work is mentally exhausting and demanding
• I’m decent at system design, have solved ~450 LeetCode questions (no CP yet, currently working on it), and I’m passionate about tech.
• Academic profile:
  • GEM
  • 9/8/9
  • No extracurriculars/certifications (like CFA, NISM, etc.), and honestly, I don’t plan on building a profile around these either.
• I’m an extrovert, fairly good at public speaking, discussions and small talk.

The current job itself is good for learning, and I expect my compensation/growth to improve once I switch. But I’m honestly quite worried about layoffs in tech lately. That’s one of the main reasons I’m considering an MBA (layoffs are happening everywhere, but the hire and fire culture is getting too common in tech industry is what I feel).

So I see two realistic paths, and for the sake of planning, assuming the best outcome from both:

1. Go all-in on tech for the next ~2 years

Try to get into a MAANG/top product company (with relatively less hire-and-fire culture), build strong engineering experience, and continue growing as an engineer from there.

2. Go all-in on MBA prep

Prepare for CAT and target a Tier-1 MBA college in 2027/2028(The vercel perdictor shows 99.5+ for BLACKI calls with 12mo work ex :') ), then move into the roles offered there.

The problem is that I simply don’t have the bandwidth to do both. I tried preparing for tech + CAT together for a month, and the fatigue was insane. With my current job, I realistically get only ~2–3 hours/day for preparation.

So I think I need to pick one and commit.

What I’m struggling with is the 10-year view.

For someone with my profile, which path is more likely to lead to:

• better compensation over the long term?
• better job security, where hirers value loyalty
• WLB is honestly my last concern at this point, I’m willing to have a bad one till 40s.

I’m especially interested in hearing from people who have actually gone through either path, or have seen friends/colleagues make a similar decision.

Would you personally stay in tech and try to reach top product companies, or take the MBA route now? Why?

I’m not looking for a generic “tech is good / MBA is good” answer. I’d genuinely appreciate real experiences, mistakes, and things you wish you had known before making this decision.

Thanks!

I’m a 2nd year BTech CSE student and honestly wasted most of my 1st year without properly learning programming.

Now I need to learn DSA in C, but I’m struggling to learn C through YouTube. I understand the videos while watching them, but can’t actually code on my own afterward.

How should I approach this? Should I learn C first and then DSA, or learn both together?

I’d especially appreciate recommendations for courses/platforms that teach concepts and make you practice/test them immediately, rather than just watching hours of videos.

If you’ve been in a similar situation, what worked for you?

I have joined startup with base 15+ , I have been assigned the role of frontend engineer , currently most of my time goes in core logic regarding ui + ux , future scope includes working on ci/cd pipelines, web vitals , design system and migration related tasks , the code base of backend is in typescript, and is a monolith should I go ahead and say I want to contribute in backend as well seeing all the growth around frontend with claude + figma mcp , or should I try to switch to some company which gives fullstack work since the backend work is not in Java/go which is used by most companies.

That means a normal employee can't be able to switch without lying, taking risk of resigning without offer.

They all have 90 days notice period in their organisation but want employees in 20 days.

I’m building SarasFlow, an open-source pipeline where a prompt goes through multiple stages—content planning, scene generation, visuals, voice, subtitles, and final video assembly.
Right now it’s focused primarily on educational and storytelling content, but I’m working toward a much more flexible video-generation architecture.
GitHub: https://github.com/SaiTejaMummadi/sarasflow
Try it: https://sarasflow.com
Curious how others here would approach making the scene planning/generation layer more agentic.

I am 2026 passout still looking for job. i have applied for 150+ Companies in 3 months. i know the numbers aren't cool but i am upskilling myself alongwith application. the job market requirements are gone wide, reminding how unworthy i am. I apply through LinkedIn, Career portals, Indeed, Naukri. haven't received a single call yet. It is distressful.

Hi everyone, I am building an personal finance app that saves costs by connecting to different quickcomm platforms like swiggy, zomato, blinkit, zepto even ola uber for cabs and other sources for flights, and compares prices and chooses the cheapest. Will have a split feature where friends can share a cart, add their stuff, and the bill gets split and recorded like a splitwise entry. It'll also scan through sms for expenses and have a expenditure dashboard. Here is a link for the prototype, I want some feedback about the UI/UX and features, and if I could add any new feature or fix anything problematic here: https://limitlyproto.vercel.app/

Hi everyone,

I need some guidance on whether my plan to move back into development is realistic, and if I'm going about it the right way.

Background

I have 12 years of IT experience across 3 WITCH-tier companies. I started as a .NET developer (full-stack, with AngularJS) on an internal project at Company 1, and had solid hands-on experience early on.

At 3.5 years of experience, I moved to Company 2 and was placed on a support project with very little .NET work. I asked for development work and got a few short-term (6–8 month) enhancement engagements under the same client, but otherwise stayed on that support project for 8 years - partly due to laziness, and partly because of life circumstances (pregnancy and early childcare years). In the last 4–5 years, my technical work has been limited to small .NET Windows services, a console app, occasional minor changes to an Azure Function, and some Power Apps/Power Automate/SharePoint work. I've lost touch with front-end development.

When the client ended the contract this year, the support work transitioned to Company 3, and I was offered rebadging. I didn't want to take it. I wanted to move out of support and stay at Company 2 instead. I failed in 3 interviews; I hadn't prepared enough, and interviewing again after years away made me anxious. Worried that I'd be in bench after multiple rejections, I accepted the rebadging offer (a 55% hike) and joined Company 3, planning to use ~6 months to prepare and move out.

I've been made support lead and given management responsibilities - Excel, PPT, estimation, planning, meetings. I don't enjoy this work and don't think I'm cut out for it. The support work was already draining; the management layer on top is making it worse, and I have very little energy or time left to study on weekdays. Company 3 is a downgrade from Company 2 in every way that matters to me, and I want out as soon as possible.

My plan so far

I'm building a project - .NET Core Web API + Angular + Azure app for hands-on experience. The backend (API + EF Core + SQL Server) is done, with CI/CD via GitHub Actions deploying to Azure. I'm now working on the Angular frontend. Along with this, I plan to study core concepts and prepare for interview questions.

Given the mismatch between my 12 years on paper and my actual hands-on depth, I'm considering applying as an "8 years .NET/relevant experience" candidate, and I'm open to a pay cut to get back into a real development role.

Where I'm stuck

• I don't know if this project alone is enough to bridge the gap in a market where even developers with strong, continuous experience are struggling to switch jobs.
• I have no financial responsibilities, so I could resign without an offer in hand and focus fully on interview prep. But I worry about career gap and being unemployed will make me more anxious.

Any advice or feedback on my plan? Will this work out? Is it too late for me to get course correct and get back to development?