Faisal

Autophile/Freethinker

[Xiangyi Li @xdotli]

sharing my personal library on evals 1/n

i put together the highest quality blogs, podcasts, papers, and projects on evals. additions are welcome!

[Lukas Ziegler @lukas_m_ziegler]

A roadmap for learning robotics! 🔥

📌 If you’re self-learning robotics, this is genuinely one of the better repos to save for later!

This GitHub repo is basically a curated learning map for anyone trying to get into robotics without drowning in random bookmarks.

SOOOOO many free courses on almost every topic related to robotics, 5k ⭐️ on GitHub says it all...

If I had had this list during my studies, my career might have turned out differently.

But I didn't, so I the only thing I can do is to recommend it and give it to you now...

It’s a structured collection of links to:

→ robotics courses (online + university)
→ ROS / embedded / hardware basics
→ math & algorithms that actually matter for robots

A clean, opinionated list that helps you go from “where do I start?” question as I had after graduating :D

And it’s open-source, so you can contribute resources too.

🔗 Try it out here: https://t.co/qUME6mJCzZ

Do you have an awesome resource to learn AV and robotics? Share it with me, and I'm happy to put it on the spotlight.

~~

♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB

[javinpaul @javinpaul]

I Found LeetCode for Software Design and It’s Awesome https://t.co/QIFbtLbO2c

[Faisal @kkrazyfaisal]

@chiragbarjatya Agree

[GitHub Projects Community @GithubProjects]

Tower defense game that teaches cloud architecture. Build infrastructure, survive traffic, learn scaling.

[Ujjwal Chadha @ujjwalscript]

https://t.co/cbhZqHcP1q

[IT Unprofessional @it_unprofession]

https://t.co/VWSxlk4QdY

[Yohan @yohaniddawela]

High-resolution satellite images can be insanely expensive to buy.

So here's a list of free datasets you can access.

These datasets can be used to build foundation models, super-resolution models, or for segmentation.

[Tom Dörr @tom_doerr]

Multi-agent framework simulating trading firm roles with AI-driven analysts, traders, and risk managers

[Shubham Saboo @Saboo_Shubham_]

Build an automated AI Hedge Fund with multi-agents.

15+ AI agents work together as a team:

1. Investment Strategy Agents (Warren Buffett, Charlie Munger, etc)
2. Analysis Agents
3. Risk Management Agent
4. Portfolio Execution

100% Opensource with 37k+ stars.

[Avi Chawla @_avichawla]

10 GitHub repos that will set you up for a career in AI engineering (100% free):

[wangbin579 @wangbin579]

If you don't have a CS background, you don't need to read all those boring textbooks. Besides DSA, this book is enough to build a solid foundation. https://t.co/0pTwAe00xS

[Ashish Pratap Singh @ashishps_1]

If you want to become a rockstar backend engineer, consider reading these 5 books:

1) Clean Code
2) Head First Design Patterns
3) Designing Data-Intensive Applications
4) Building Microservices
5) Designing Web APIs

[Muqsit 𝕏 @mqst_]

📝 Beginners Guide: Networking Basics for Hackers

Part 1: https://t.co/VOsrhZPNF3
Part 2: https://t.co/ZtWooLpraH
Part 3: https://t.co/6ZeeOeXljw

#networking #infosec

[Skilled Coder @theskilledcoder]

How AWS Lambda (or Serverless) Works

[Vadym Kazulkin @VKazulkin]

"Scaling to 1 Million Users: The Architecture I Wish I Knew Sooner".
https://t.co/i9wEzQmJv2

[ℏεsam @Hesamation]

the ideal book collection to be cracked in 2025:

> Illustrated Guide to Neural Networks and Al (@joshuastarmer )
> Build a Large Language Model (@rasbt )
> Hands on Generative Al
> Hands on LLMs (@JayAlammar, Maarten Grootendorst)
> Al Engineering (@chipro)
> PMMP (David Kirk, Wen-mei Hwu)
> Reinforcement Learning (Richard Sutton and Barto)
> Deep Learning (@goodfellow_ian)
> Artificial Intelligence: A Modern Approach

book list image credit to Suraj Van Verma.

add to the list 👇🏻

[Ashish Pratap Singh @ashishps_1]

30 Blogs to Learn 30 System Design Fundamentals:

1. APIs: https://t.co/SFR7c1yi1Z

2. Webhooks: https://t.co/789CPy1rXE

3. REST vs GraphQL: https://t.co/p0aR5Xxnk3

4. API Gateway: https://t.co/kjlIJy9ElI

5. Load Balancers: https://t.co/O4WkWoVCuC

6. Load Balancing Algorithms: https://t.co/zrVmh7rURa

7. Proxy vs Reverse Proxy: https://t.co/AR8L9F2met

8. Scalability: https://t.co/Gbpjax24gd

9. Availability: https://t.co/GfakejdGQz

10. SPOF: https://t.co/5FtrH1Shrc

11. CAP Theorem: https://t.co/Aaq5s96WFU

12. Database Types: https://t.co/zhPaltn2bo

13. SQL vs NoSQL: https://t.co/vDTE5PqNel

14. ACID Transactions: https://t.co/eQBBIIM6w9

15. Database Indexes: https://t.co/CKk39deBkk

16. Sharding vs. Partitioning: https://t.co/RnMbJLzrpJ

17. Consistent Hashing: https://t.co/cg1mZ4iuQy

18. CDC: https://t.co/YCesZ6Y8AN

19. Caching: https://t.co/Jed9uIFFim

20. Caching Strategies: https://t.co/xhxmMgVQvW

21. Cache Eviction Policies: https://t.co/eGUV3zzG3A

22. CDN: https://t.co/DVnDPGUsFC

23. Rate Limiting Algorithms: https://t.co/mjnf3S9PUA

24. Message Queues: https://t.co/BTX85efXZu

25. Bloom Filters: https://t.co/vNV9yFrixf

26. Idempotency: https://t.co/lsMSkZrS38

27. Concurrency vs Parallelism: https://t.co/DWmMDNjkxR

28. Stateful vs. Stateless Architecture: https://t.co/w7OkmUQLR8

29. Long Polling vs WebSockets: https://t.co/MB628lZb2w

30. Batch vs Stream Processing: https://t.co/q3MCCs26wd

♻️ Repost to help others in your network.

[Gaurav Sen @gkcs_]

It took me nine months to go through these research papers.

They are relevant to AI (LLMs specifically).

GitHub: https://t.co/A9j1o5UTzQ

Cheers!

[Skilled Coder @theskilledcoder]

System Design: WhatsApp / Real-Time Chat Application