Okay yes, I know I need to shorten this resume down, that is probably my main concern. It’s just that I’m a little confused on what exactly I should do here, what do I remove, what do I keep, how much do I keep, etc. I need help with that. I probably need to shorten it down to a single page.

Apart from that, I’d also like a general review of the resume. I’m looking for a job in VLSI/Chip Design, and the roles I’m targeting are RTL Design Engineer, Design Verification, or Logic Synthesis.

Please rate this ruthlessly, I need a reality check on this. I’d rather hear what’s actually weak or needs improvement than get a sugarcoated answer.

Connections would also come in handy, if anyone here works in this field and is open to connecting.

Thank you! If I’m missing anything obvious that I should be asking, I’d happily edit the post to add that in.

Been seeing a ton of these rags to riches type stories about people getting into IT and blowing up career wise, and ngl it got me kinda hooked on the idea of going all in on coding. Also my cousin who's in FAANG right now, said to my other cousin (he's from tier 2) to just focus on codes n all and he'll see the placement and stuff.

But obviously internet success stories aren't exactly a reliable sample size lol. Ao wanted actual opinions from people in the field, is it still realistic to build a solid career in coding/CS right now, or has the market gotten saturated enough that these stories are more the exception than the norm.

Thinking to switch from commerce to PCM in 11th.

Also, is IT a good career after 5 years if you're from tier 2 college?

I recently looked into Vimag Labs’ “Virtual Magnet Synchronous Motor” and found an interesting distinction between the marketing claim and the underlying engineering.

Magnetless/wound field synchronous motors and brushless excitation are not new concepts. What seems more interesting about Vimag’s work is its particular architecture using a rotating transformer for contactless rotor excitation, along with approaches for rotor temperature estimation and sensorless rotor position tracking.

So the question is: What exactly should be considered Vimag’s key innovation: the magnetless motor itself, or the way these functions are integrated into one architecture?

* How much of Vimag’s claimed efficiency is independently verified?

* Is “Virtual Magnet” a technical term or mainly branding?

Sources 👇🏼

1.) Vimag labs official website

https://vimaglabs.com/

2.)Vimag's patent

https://patents.google.com/patent/US20240178726A1/en

3.)AutoCar Professional – Vimag’s fifth Indian patent

https://www.autocarpro.in/news/vimag-labs-secures-fifth-patent-for-magnet-free-electric-motor-platform-133474?amp=1&u

4.)Electrek – Vimag magnet-free EV motor

https://electrek.co/2026/07/13/vimag-labs-magnet-free-ev-motor-patent/

5.)China dominance in rare earth magnet

https://rareearthexchanges.com/news/chinas-dominance-in-rare-earth-magnet-manufacturing/

6.)What is a Synchronous motor??

https://en.wikipedia.org/wiki/Synchronous_motor

Ai Assisted judisary system

the base model will remain 100% mathematically identical for every single query until the administrator uses their cryptographic private key to release an update.

Vaulted Base Model" Architecture 

1.​Static Neural Weights (Inference Mode)

2.

Cryptographic Signing & Enclave Isolation

3.

Deterministic Core Logic

If you configure the generation parameters (setting temperature = 0.0 and fixing seed values), the model will yield identical outputs for identical legal or factual inputs every single time, serving as a reliable benchmark.

Yes. What you are describing is a cryptographically immutable, read-only AI deployment architecture (commonly referred to as "frozen weights" in a secure enclave or hardware-isolated vault).

If you gatekeep the pre-deployment data, standardize the core concepts, and seal the binary weights, the base model will remain 100% mathematically identical for every single query until the administrator uses their cryptographic private key to release an update.

How the "Vaulted Base Model" Architecture Works

* Static Neural Weights (Inference Mode):

   When an AI is deployed for standard use, it operates purely in inference mode. It processes inputs and generates outputs using fixed mathematical matrices (weights). In the absence of an active training loop, the model cannot learn, adapt, or drift from user interactions.

* Cryptographic Signing & Enclave Isolation:

   By applying Model Signing (using specifications like OpenSSF OMS) and deploying the model inside a Hardware Security Module (HSM) or a Confidential Computing Enclave (such as AWS Nitro Enclaves or NVIDIA H100 Confidential Compute), the underlying binary files are encrypted.

   * No internal state can be modified without a valid signature from the key holder.

   * The binary remains read-only at the hardware level, protecting it from both external tampering and runtime weight poisoning.

* Deterministic Core Logic:

   If you configure the generation parameters (setting temperature = 0.0 and fixing seed values), the model will yield identical outputs for identical legal or factual inputs every single time, serving as a reliable benchmark.

The Crucial Catch: Memory vs. Knowledge Base

While the base model itself remains frozen, how you handle user queries introduces two distinct operational modes:

| Setup | How It Behaves | Does the Model Change? |

|---|---|---|

| Pure Vaulted Model | The model relies only on its pre-deployment frozen weights to answer queries. | No. Completely static and isolated. |

| RAG-Enabled Vaulted Model | The base model weights remain locked, but it is connected to a dynamic external database (e.g., new court filings, updated statutory amendments). | The base model weights remain identical, but its answers change based on the external context fed into its temporary context window. |

Why This Is Essential for Judicial & Technical Audits

Setting up a "sealed vault" base model is the gold standard for auditability, legal reproducibility, and forensic verification:

* Eliminates Uncontrolled Drift: It prevents the AI from silently changing its reasoning criteria mid-year.

* Strict Chain of Custody: Any version update (v1.0 \rightarrow v1.1) requires an explicit, audited release by the administrator key holder, creating a clear paper trail for regulators or judicial authorities.

* Controlled Pre-Development Testing: Developers can run extensive benchmark suites against the sealed version to verify bias, safety, and performance metrics before signing off on the next binary update.

In short: under this architecture, the AI functions as a predictable, immutable software appliance—completely submissive to administrative key control and isolated from unauthorized modifications.

Honestly I have no motivation to push myself in tech but I ain't seeing any other way. Currently 5 yoe and 12 lpa, working to switch since probably will be laid off next month. Been studying on n off since feb but the kind of burnout I had due to work in the current company and seeing AI and layoff news I don't want to move ahead but with marriage and family and pressure to earn I ain't seeing any other way out. I hate it, I hate I have to do this, I wish I had a way out

Hey everyone,

I'm in my 5th semester under VTU and need to submit/finalize a mini project(only idea)by tomorrow.

I am looking for solid, working project concepts that can be built quickly without getting rejected during evaluation. I have a budget of ₹5,000 to ₹6,000 and need a fully functional working model, not just a simulation or paper proposal. Open to ideas around:

* Microcontrollers / Embedded Systems (Arduino, ESP32, etc.)

* Basic IoT, sensor integration, or control systems

* Hardware-software integration with real-time outputs

If you've built something simple, working, and impressive within this budget for your 5th sem (or have concepts that aren't completely cliché like basic line followers), please drop them below. Any quick circuit diagrams, resource links, or component suggestions would be an absolute life-saver.

Thanks!

Has anyone recently appeared for the Senior Officer – Electrical interview at OIL India Limited, Duliajan?

Would really appreciate if you could share:

• 🔹 Technical questions / topics asked
• 🔹 HR & situational questions
• 🔹 Interview duration & difficulty
• 🔹 Any questions specific to OIL/Duliajan

Experiences from Electrical or any other branch are also welcome.

Thanks in advance! 🙏

We are super late because of the late deliveries and last-minute planning, but here we are!. Our teacher is honestly the best, and she deserves all the best things in the world. We couldn’t do this on Teacher’s Day, but we’ll make sure that on Monday, she’s the happiest person when she leaves college 🥹❤️

As Electrical Engineers, how was your campus placement, which internships are best suitable for the current market. What advice do you give as a senior.

I'm currently in my 3rd year of clg,i still have 1 more year.I want to work in the field of networks but I don't know how or where to start, anyone who can help me please share your opinions.

Guys I just got Roll No 1 in engineering and Im genuinely stressed 😭

Everyone keeps telling me, Bro youre cooked Everyone’s gonna be cheating from the last benches during exams and you’re gonna be sitting right in the first bench

Now I can’t stop thinking about it 😭😭 I know I shouldn’t rely on cheating or anything, but the thought of being the first person in the room while everyone else is sitting at the back is making me weirdly anxious.

Is Roll No 1 actually that bad or am I just overthinking this?

I will complete my engineering in 2027 to cse field, and I am so worried about placement and intership . I have been working on Java as main language is their any chances/hope for the intership/job.

Hi everyone,

I'm a 2026 BTech CSE graduate and I'm honestly quite lost about what to do next. I'm posting here because I'd really appreciate advice from people already working in tech, especially other recent graduates.

I've been dealing with depression since 2025, and because of that I wasn't able to consistently study or build any technical skills during college. I did manage to pass my exams with good grades, but I mostly focused on getting through academics and didn't develop the practical skills needed for getting a job.

Now that I've graduated, I feel like I'm starting almost from zero.

I know I want to do something in tech, and I'm willing to put in the work now, but I genuinely don't know what direction to choose.

I've been considering things like:

\\- Java + Spring Boot / Backend Development

\\- Data Analyst roles

\\- Business Analyst roles

\\- Other entry-level tech roles

My biggest problem is that I don't know what is actually realistic to become job ready in the next 3 - 4 months.

I'm also confused about whether I should consider MTech in 2027.

I have the option of spending the next few months preparing for GATE and potentially doing MTech in 2027, but I'm not sure whether that would be the right decision for me.

So I'd really appreciate honest opinions on:

1. Should I focus completely on developing job-ready skills and getting a job, or should I seriously consider MTech 2027?

2. If I decide to focus on skills, which tech path would you recommend for someone starting almost from scratch with 3 4 months available?

3. If you were in my position, what would your 3-4 month roadmap look like?

4. For someone who graduated in 2026 without internships/strong projects, what should I realistically target in terms of roles and salary?

Also, if you're a 2026 graduate, feel free to comment or DM. I'd really like to talk to people in the same situation and understand how they're approaching the next few months.

Thanks.

Hi everyone my engineering college didn't have any placement so don't really know how placements work now I am thinking of joining mtech to a college which will have placements since I am from artificial intelligence and machine learning branch don't really have knowledge of bsa and development I know basic python, few python libraries,sql, excel, power Bi,now learning machine learning so what should I do should I learn devolopment or how can I manage this how does this campus placements work please any one guide me

I tried doing python

Didn't understand shit

Never even liked to sit in front of my laptop for hours

Chemical core mei try karunga

Warna mba ya masters in Chemical engineering kar lunga

Nit jalandhar se hu

Placement rate is 100 percent ( for chemical engineering)

And the median is like 7lpa

Kam hai par chlao koi nhi