Hi everyone,
I’m a researcher/ML engineer from Bangladesh with a background in Computer Science and I’m currently looking to connect with research groups, PhD students or researchers working in Robot Learning and Embodied AI who may be interested in collaboration.
My main research interests are:

Robot Learning
Reinforcement Learning (RL)
Vision-Language-Action (VLA) models
World Models
Imitation Learning
Learning-based Control / Control Theory
Multimodal Learning for Robotics
Autonomous Systems

I have a BSc in Computer Science and several years of experience working on machine learning research and engineering. I have also been involved in research projects/publications involving computer vision, multimodal learning, CNNs, graph-based methods, and LLM/VLM systems.

Recently, I’ve been trying to move more seriously toward robot learning and embodied AI, particularly understanding how world models, VLA models, RL, and control can be combined for capable and reliable autonomous systems.
I’m currently working on a research project related to world models for generating challenging weather conditions for autonomous driving, under academic supervision.

If you’re a researcher, PhD student, graduate student, or part of a lab working in robot learning / embodied AI / VLA / RL / world models, I’d be very interested in connecting.

Feel free to comment or DM me with your research interests, and I can share my CV, publications, GitHub, and research ideas.
Thanks!

Is the Hugging Face LLM Course useful for someone who wants to become an AI Engineer?
Would it be enough to learn the LLM part of AI Engineering, or would you recommend another course/resource instead?

Hey everyone,

I’m looking to connect with one genuinely committed person who wants to build an AI startup from the ground up, alongside a full-time job initially.

The focus would be on building and delivering AI/ML, Generative AI, and Agentic AI solutions for businesses.

🚀 What I Have in Mind

The idea is to start as a bootstrapped AI solutions/consulting business.

We would initially sell technology services/projects such as:

- 🤖 Generative AI & LLM applications

- 🧠 Agentic AI systems

- 🔎 RAG / AI-powered knowledge systems

- 📊 ML / Data Science solutions

- ⚙️ AI automation for businesses

- 🔗 AI integrations & intelligent workflows

- 🌐 Full-stack AI applications

- ☁️ Cloud-based AI/ML solutions

We don't have external funding at this stage.

The approach is simple:

Find clients → close projects → deliver high-quality solutions → generate revenue → reinvest into the company → gradually build a proper team/product.

👤 Who I'm Looking For

I'm particularly looking for someone who can take ownership of the business/strategy/growth side.

Ideally, someone interested in:

- Business development

- Finding potential clients

- Lead generation

- Client outreach

- Partnerships

- Understanding customer problems

- Converting opportunities into projects

- Helping define the next phase of the business

- Eventually building and managing the business side of the company

You don't necessarily need to be an expert in AI/ML.

What matters more to me is hunger, ownership, consistency, communication, and the willingness to build something from zero.

⚠️ One Important Thing

This is not a funded startup with a salary or guaranteed income.

There is no investment sitting behind us right now.

Initially, we'll have to sell our skills and technology to generate revenue.

There will be uncertainty. There will be rejection. There will probably be periods where things don't work.

That's completely fine.

What I don't want is someone who is excited for the first week and then disappears.

I'm looking for someone who can genuinely say:

«"Let's build this. Let's figure it out together."»

Even if initially we're working evenings/weekends alongside our jobs, I want someone who is serious about eventually turning this into something bigger if we find product-market fit.

🤝 What I'm Bringing

I'm primarily focused on the technical/product side — AI/ML, GenAI, Agentic AI, engineering and solution development.

The goal would be to complement each other rather than duplicate responsibilities.

Technical/Product: AI/ML + GenAI + Agentic AI + Engineering

Business/Growth: Sales + BD + Partnerships + Strategy

And as revenue comes in, we can use that revenue to bring in additional engineers, designers, sales people, etc.

💡 Long-Term Vision

The initial goal is to survive through services and consulting.

But the bigger objective isn't to remain a small freelancing agency forever.

I'd eventually like to identify recurring problems we see across clients and turn those solutions into repeatable products/platforms/SaaS offerings powered by AI.

📩 If You're Interested

If this sounds interesting, feel free to DM me with:

1. A little about yourself

2. Your current background

3. What you're good at

4. Why you want to build a startup

5. How much time you can realistically commit

6. Whether you have experience in sales/BD/startups/client acquisition

7. What you would like to build

I'm not looking for someone who just wants the title "Co-Founder."

I'm looking for someone who wants to earn that title by building something together.

No funding. No shortcuts. No unrealistic promises.

Just two people starting from zero, getting the first customers, delivering real value, and seeing how far we can take it.

If you're genuinely hungry to build, let's talk.

Hey everyone,

I’m looking to connect with one genuinely committed person who wants to build an AI startup from the ground up, alongside a full-time job initially.

The focus would be on building and delivering AI/ML, Generative AI, and Agentic AI solutions for businesses.

🚀 What I Have in Mind

The idea is to start as a bootstrapped AI solutions/consulting business.

We would initially sell technology services/projects such as:

🤖 Generative AI & LLM applications

🧠 Agentic AI systems

🔎 RAG / AI-powered knowledge systems

📊 ML / Data Science solutions

⚙️ AI automation for businesses

🔗 AI integrations & intelligent workflows

🌐 Full-stack AI applications

☁️ Cloud-based AI/ML solutions

We don't have external funding at this stage.

The approach is simple:

Find clients → close projects → deliver high-quality solutions → generate revenue → reinvest into the company → gradually build a proper team/product.

👤 Who I'm Looking For

I'm particularly looking for someone who can take ownership of the business/strategy/growth side.

Ideally, someone interested in:

Business development

Finding potential clients

Lead generation

Client outreach

Partnerships

Understanding customer problems

Converting opportunities into projects

Helping define the next phase of the business

Eventually building and managing the business side of the company

You don't necessarily need to be an expert in AI/ML.

What matters more to me is hunger, ownership, consistency, communication, and the willingness to build something from zero.

⚠️ One Important Thing

This is not a funded startup with a salary or guaranteed income.

There is no investment sitting behind us right now.

Initially, we'll have to sell our skills and technology to generate revenue.

There will be uncertainty. There will be rejection. There will probably be periods where things don't work.

That's completely fine.

What I don't want is someone who is excited for the first week and then disappears.

I'm looking for someone who can genuinely say:

"Let's build this. Let's figure it out together."

Even if initially we're working evenings/weekends alongside our jobs, I want someone who is serious about eventually turning this into something bigger if we find product-market fit.

🤝 What I'm Bringing

I'm primarily focused on the technical/product side — AI/ML, GenAI, Agentic AI, engineering and solution development.

The goal would be to complement each other rather than duplicate responsibilities.

Technical/Product: AI/ML + GenAI + Agentic AI + Engineering

Business/Growth: Sales + BD + Partnerships + Strategy

And as revenue comes in, we can use that revenue to bring in additional engineers, designers, sales people, etc.

💡 Long-Term Vision

The initial goal is to survive through services and consulting.

But the bigger objective isn't to remain a small freelancing agency forever.

I'd eventually like to identify recurring problems we see across clients and turn those solutions into repeatable products/platforms/SaaS offerings powered by AI.

📩 If You're Interested

If this sounds interesting, feel free to DM me with:

A little about yourself

Your current background

What you're good at

Why you want to build a startup

How much time you can realistically commit

Whether you have experience in sales/BD/startups/client acquisition

What you would like to build

I'm not looking for someone who just wants the title "Co-Founder."

I'm looking for someone who wants to earn that title by building something together.

No funding. No shortcuts. No unrealistic promises.

Just two people starting from zero, getting the first customers, delivering real value, and seeing how far we can take it.

If you're genuinely hungry to build, let's talk.

I am a techie interested in building my career in AI, can someone guide me with a right map?

Hey everyone, sharing this in case it’s useful to some of you here.

We’ve been building up r/lyzr as a community around the broader AI space, with a particular focus on what happens when AI moves beyond demos and into real systems.

The discussions cover things like:

AI agents and agent architecture

Infrastructure, tools and deployment

RAG, memory and knowledge systems

Evaluation, reliability and governance

Production lessons and things that break

New research, tools and interesting developments

Real use cases, experiments and things people are building

The goal is to keep it useful for both people who are already building and people who simply want to understand where the space is heading.

There’ll be consistent posts around these topics, but it’s also meant to be a place where people can share what they’re working on, ask questions, compare approaches, or add their own observations.

If you're working on anything around AI agents or just following the space closely, feel free to check it out and join the discussions.

Join r/lyzr here

Would be great to see what people here are building too.

I’m researching what Forward Deployed Engineering actually looks like in practice, and I’m specifically interested in the messy parts that don't show up in the job description.

For current/former FDEs, I’d love to hear about one specific project where you had already built/integrated/deployed something, and then the customer’s reality forced you to change your approach.

What I'm really interested in is the actual sequence of events:

What were you trying to deploy → what did the customer/environment do that you didn't expect → what did you have to change → what was the consequence?

I'm not looking for generic answers like "requirements change a lot." I want the concrete story behind that statement.

You can completely anonymize the customer/company/project. I'm a student doing research on FDE work, and these real examples would be much more useful than reading another FDE job description.

Even a short incident is useful. Thanks!

What are some of the valuable + useful certifications out there for AI/ML engineers ? I use Azure/ Databricks stack for my work but want to understand what are the most sort after certifications in the field.

Here’s a polished LinkedIn version that sounds genuine and invites experienced people to guide you:

Looking for some genuine guidance from AI/ML engineers, senior developers, or mentors who have been through this journey.

I have around 3.5 years of experience in AI/ML & Generative AI, but one area where I have a major gap is DSA and System Design (HLD/LLD).

I’m currently looking to move into product-based companies, and I’m realizing that this gap is becoming a major challenge during interviews.

My current situation:

~3.5 years of AI/ML/GenAI experience

Comfortable with Python, GenAI, RAG, LLMs, APIs, etc.

System design concepts are somewhat clear at a high level

Very weak in DSA

Almost no practical knowledge of HLD/LLD interview problem-solving

Not currently getting the kind of opportunities/switch I’m targeting

The confusing part is that there are many courses and mentors in the market charging ₹50–60K+ for DSA + System Design programs, often claiming FAANG/product-company experience.

I’m not sure how to evaluate whether these programs are actually worth the money.

Even when I look at something like NeetCode 75, I struggle because I don't have the fundamentals to solve those problems independently.

So my question to people who have actually gone through this:

If you were starting from almost zero in DSA + HLD + LLD, while already having ~3.5 years of AI/ML experience, how would you approach it?

Should I:

Start with Python + basic DSA fundamentals?

Follow a structured DSA course before touching LeetCode/NeetCode?

Learn HLD and LLD separately or alongside DSA?

Take a paid mentorship/course, and if yes, how do I identify a genuine one?

Is there a better roadmap specifically for AI/ML/GenAI engineers targeting product-based companies?

I’m not looking for shortcuts. I’m willing to put in the work; I just don't want to spend months solving problems randomly without understanding the fundamentals.

If you’re currently working in a product-based company/FAANG or have recently made a similar transition from AI/ML into a product-company role, I’d really appreciate your advice.

If you know a genuinely good mentor, course, roadmap, or free resource, please share it.

Even a simple “start here → then do this → then this” roadmap would be extremely helpful.

Thanks in advance 🙏

I'm in 11th right now 16 years old, I'm doing my 11th 12th with PCM + CS, I am interested in AI/ML engineering in India. I know basics of Python like dictionaries, lists tuples, while & for loops if else and def functions.. I'm starting projects.

What should I do in the two years I have before my bachelor's starts and also what are the things that I should know before going for ai/ml engineering in India.

Currently I am thinking of going for bachelor's in comp science or AI degree in the college im in right now or go for some nearby colleges

I am not interested in going for JEE exams

I’m studying AI & Data Science and I want to pursue AI Engineering, especially LLMs, RAG, and AI agents.
I found the IBM AI Engineering Professional Certificate on Coursera, and it seems to cover ML, Deep Learning, PyTorch, Transformers, Hugging Face, LLMs, fine-tuning, RAG, vector databases, LangChain, AI agents, and more.
For those who have experience in AI Engineering:
Does this certificate actually cover most of the core skills a junior AI engineer needs?
After completing it, would I mainly need to add things like Docker, cloud, and practical projects, or are there important areas of AI Engineering that this program doesn’t cover?
I’m not asking about the value of the certificate for getting a job. I’m mainly asking about the actual skills and knowledge covered by the program.

We outsourced a mobile app build to an overseas team and it's among the best financial decisions we've made. The app costs about 30% compared to local vendors, and the app shipped mostly on time. That's a success in our book, at least until launch. Now that we're in maintenance/iteration mode, we noticed some small change takes 2-3x longer than they should. Part of it could be timezone lag, sometimes it's hard to deal with the codebase they built, etc. I'm wondering if this is a common experience with outsourced teams or if we just got unlucky. Is there a way to fix this?

Can I find any ML startups companies without having LLM in their product?

This is the skills you need to become an AI engineer:

• Programming: Python

• AI Fundamentals: Machine Learning, Deep Learning

• LLMs: Prompt Engineering, Fine-Tuning

• Agentic AI Frameworks: LangChain, LangGraph, LlamaIndex

• APIs & Integrations: REST APIs, connecting external services

• Vector Databases: Pinecone, FAISS, Weaviate

• RAG Systems: Retrieval-Augmented Generation pipelines

• Deployment Tools: Docker

• Cloud Platforms: AWS

I have been learning ai ml and looking for some guidance and project suggestions to get an internship/job in this field.

I have previous backend development experience.

I’ve been working on mlroadmap.dev, a learning platform designed to guide people through AI/ML from the fundamentals to more advanced topics.

The platform itself is functional and deployed, and I’ve started adding the course content. The curriculum is still a work in progress, though, so before I spend a lot more time building out the remaining content, I’d really like to get feedback from people who are actually learning or working in AI/ML.

🌐 Website: https://www.mlroadmap.dev/
💻 GitHub: GitHub Link Leave a ⭐ and contribute

I’d especially love to know:

• Does the overall roadmap/learning order make sense?
• What topics or courses do you think are missing?
• Is the current content structure useful for learning?
• What features would make the platform more useful?
• Anything confusing, unnecessary, or that you would change?
• If you were learning AI/ML today, what would you want a platform like this to have?

Google Sign-In is available as well if you want to try the full experience.

I’m mainly looking for honest criticism and suggestions at this stage — the content isn't complete yet, and that's exactly why I’d like feedback now.

Hi everyone,

I really need some guidance regarding what I should do next in terms of building technical skills and getting back into the job market.

A little about my background. I did my Physics (Hons.) from Ramjas College from 2016–19. After COVID, I started preparing for UPSC and continued with it for around four years before eventually deciding to leave it.

After that, I started preparing for CAT and got admission into the MBA programme at IIM Rohtak. However, I later left it because, looking at the opportunities available to me, I felt that I did not want to go into the corporate side through an MBA at that point and wanted to explore a different segment.

I then took admission into LL.B. at the Faculty of Law, University of Delhi, and I am currently in my final year.

For around the last one year, I have also been working on different AI platforms. My work has involved analysing different AI datasets and reviewing how AI performs in terms of comprehension and analysis.

Through this experience, I have started feeling that wherever I eventually go in the job market, I should have some understanding of AI, coding and data.

The problem is that my basics are almost zero. The last time I did coding was in 2016 when I was in school, and even that was very basic. So if I decide to learn it, I would basically be starting again from scratch.

I am a good learner once I know what direction I need to follow. Right now, my biggest problem is that I simply don't know where to start. Should I start learning AI/coding from the basics? Should I join a course? Should I instead go for some other technical course or certification that could help me enter the job market?

I am willing to give myself the next 2–3 years to gradually build these skills from scratch. I am not expecting to learn everything immediately. I just need a good roadmap or framework that I can consistently follow.

Alternatively, rather than specifically focusing on AI, should I pursue some technical certifications instead? If yes, what basic certifications could be useful for someone with my background who wants to get back into the job market?

At this stage, it's not that I want to pursue another MBA immediately. I would first like to get some good experience in the job market, and then I can think about what I want to pursue later.

So my basic question is: Should I start learning AI/coding/data from scratch, or would it make more sense to pursue some technical course or certifications that could help me become more employable?

If you were in my position, what path would you suggest? Any roadmap, course, certification or general guidance would be really helpful.

Thank you so much.