Ali Usman Muhammad

Tech nomads
AI/Software Engineer

[Nekt0 @Nekt_0]

Andrej Karpathy just said your kids should ignore most of school.

"80% of education should be math, physics, CS."
Not because it's useful - because it carves grooves in the brain.
Grooves that get harder to carve the older you get.

In a pre-AGI world: it gets you a job.
In a post-AGI world: it makes you a functioning, empowered human.

Everything else? Tack it on later.

The cognitive foundation is the only foundation that survives the transition.

[AdeIfePosi @AdeIfePosi]

All you need to know about Supply Chain Management.

[Ali Usman Muhammad @Aliussmann]

The race is against you, by you.
How much better are you getting every day?

[Khairallah AL-Awady @eng_khairallah1]

https://t.co/mLfo3ZV2Vw

[Prasanjit Dey @Prasanjit_ui]

2026 so far.

→ Got 5+ job offers
→ Landed a remote US job
→ Earned my first USD and crypto
→ Shipped a ton of projects
→ Got my first laptop
→ Made some genuinely good connections

Something I realized, just staying consistent and enjoying what you're doing helps a lot

[Boris Cherny @bcherny]

As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:

1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales

Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.

A healthy team needs a mix of these, depending on the product:

- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2

Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?

[Sajal Batra @sajalbatradev]

Tech Paglu Roadmap:

DBMS Paglu @arpit_bhayani
OS Paglu @SinghDevHub
MERN paglu @Hiteshdotcom
WEB3 paglu @kirat_tw
DSA paglu @striver_79
Gen Ai paglu @piyushgarg_dev
Ml paglu @Krishnaik06
System Design paglu @gkcs_

Continue the list.......

[Munah..🐍🖤🦇 @Munahcodes]

Project 2 done ✔️

diamonds dataset. 53,940 rows.

cleaned it → encoded cut, color & clarity → ran full EDA

the plot twist? fair-cut diamonds cost MORE than ideal ones on average because carat weight matters more than cut quality 💎

Data always has a story. 🖤🫠

[Aman @beingamanFF]

Thanks @arpit_bhayani for this nice article on production RAG! https://t.co/XGKLZC7HyR and https://t.co/yIXeCxNQsb for this amazing video explaining the update in S3

[Arjun Virk @virkvarjun]

I just spent months handwriting a 200 page guide on the entirety of ML foundations and math from scratch.

The guide features:
- Neural Nets (Backprop, Adam, SGD, Batch Norm)
- ML Algorithms (SVM, Grad Boosting, K-means, PCA)
- Hardware (Tensor Cores, Systolic Arrays, CUDA)
- Transformers (Multi-Head Attn, KV Cache, LoRA)
- Vision (ViT, Convolutions, MAE, IoU, NMS, VLM)
- Agents (OpenClaw, ReAct, Memory, Orchestration)

Everything I wish I had years ago, for free.

[Saheed Kolawole @temabef]

Most students think European professors are impossible to reach.

The standard advice: 'Write a formal email with your CV attached.'

This gets you ignored 97% of the time.

Here's another strategy you can also use:

[aditya @adxtyahq]

Good list.

I'd add:
- Dataset Engineering - https://t.co/9v0BWmOe4v
- Product Evals - https://t.co/zGn1SrznLs
- OpenAI Evals - https://t.co/JkNoFreo0P
- Context Engineering - https://t.co/caRNtIw1Ne
- Agent Memory & Context Lifecycle - https://t.co/HN7c6OOxyN
- MCP & Tool Ecosystems - https://t.co/lKawRb4etX
- Observability & Tracing - https://t.co/0UZ2iSvijf
- AI Agent Evaluation - https://t.co/sclfEZt01U
- Inference Optimization (KV Cache, PagedAttention, Batching) - https://t.co/T7xv6lIirV
- Security Engineering (Prompt Injection, Agent Safety) - https://t.co/U1wO0AQnnt
- Business Metrics & Product Thinking - https://t.co/aoM9kuqkDB

A surprising number of AI engineers spend more time debugging retrieval, context, caching, queues, permissions, and analytics than they do writing prompts.

[Akshay Shinde @ConsciousRide]

12 End-to-End AI Engineer Projects in 2026

1) Production RAG Document Assistant

PDF/Q&A system with hybrid search (vector + BM25), reranking, citations, and eval metrics. Use LangChain/LlamaIndex + Pinecone/Chroma + FastAPI.
Why recruiters love it: Solves hallucinations, enterprise staple.

2) AI Resume Screener & Matcher

Upload JD + resumes —>> LLM parsing + embedding similarity + ranking dashboard. Add bias checks.
Pro move: Fine-tune a small model for domain-specific scoring.

3) Multi-Modal Chatbot (Text + Image + Voice)
Whisper for STT, GPT-4o/Claude vision, TTS. Add memory & tools.
Shows: Full multimodal pipeline.
Intermediate —>> Interview Magnet Tier

4) Autonomous AI Agent System (CrewAI/LangGraph)
Multi-agent workflow (e.g., research —>> summarize —>> email). With tool calling, planning, memory, and human-in-loop.ouEWE“LARGE”

5) Fine-Tuned Domain LLM + Serving

Fine-tune Mistral/Llama on your data (LoRA/QLoRA) -->> quantize —>> serve with vLLM/TGI + FastAPI. Compare cost/latency.

6) Real-time AI Monitoring & Observability Dashboard

Track LLM calls, latency, cost, hallucinations, drift. Use Prometheus + Grafana + LangSmith/Phoenix.
MLOps gold.
Advanced —>> “Senior AI Engineer” Tier

7) End-to-End MLOps Pipeline for LLM

Data versioning (DVC) —>> training (on cloud) —>> CI/CD deployment —>> A/B testing —>> rollback. Docker + Kubernetes/GCP.

8) Voice AI Agent / Study Coach

Real-time conversation with interruption handling, knowledge base (RAG), personalized learning paths.

9) Multi-Agent Coding/Research Assistant

Agents that browse, code, debug, and iterate together. Add eval harness.

10) Hybrid Search + Recommendation System

Combine traditional ML + LLMs for personalized recs (e.g., content or jobs) with feedback loop.

11) Private/Local AI App (Ollama + RAG)

Fully offline SLM app with local vector DB. Focus on privacy, quantization, on-device perf.

12) AI-Powered Enterprise Tool (e.g., Log Analyzer or Meeting Summarizer)

Ingest data —>> process with agents —>> actionable insights + dashboard. Deploy with auth & RBAC.

Bonus Rules to Get Hired:

• Production-grade everything: eval sets, guardrails, rate limiting, cost tracking, error handling
• Deploy on Vercel/Render/Fly.io + Cloud (AWS/GCP/Azure) - show metrics
• Killer READMEs: architecture diagrams, benchmarks, challenges & trade-offs, live demo link
• Write tests, use Docker, add CI/CD
• Track everything: tokens, latency, accuracy, $ spent

[Sumit Mukherjee @sumit_codes_]

My friend had a data engineering interview in 30 days with zero experience. Here is the exact sprint I designed for him. He got the offer.

[Ram @ramxcodes]

https://t.co/mVSxP5xi1g

[Alain Martin @0xalain_]

If I had 6 months to become an ML Engineer.

I'd do this.

[Shubh @TheSuperEng]

Want to get into backend development?

- Build your own DNS
- Build your own BitTorrent
- Build your own Decentralized file system
- Build your own Interpreter
- Build your own kafka
- Build your won web scraper
- Build your own Redis
- Build your own Database Engine
- Build your own Distributed Job Queue
- Build your own Search Engine
- Build your own web server
- Build your own Reverse Proxy
- Build your own API gateway
- Build your own Load Balancer
- Build your own URL Shortener
- Build your own CDN
- Build your own Pub/Sub System
- Build your own Task Scheduler
- Build your own Email Service
- Build your own File Storage Service
- Build your own Logging System
- Build your own Metrics/Monitoring System
- Build your own Feature Flag System
- Build your own Payment Gateway Mock
- Build your own Rate Limiter
- Build your own Notification System
- Build your own WebSocket Server
- Build your own OAuth Server
- Build your own CI/CD Pipeline System

[Devaansh Bhandari @ThisIsBhandari]

"Only IITians can get such offers."

I've been seeing this a lot lately. I ignored it for a while, but now we need to talk about it.

The biggest advantage IITs provide isn't some secret formula for success. It's exposure.

When I joined IIT, my friends and I started working on a startup in our second year.

We attended startup events, pitched to founders, interacted with VCs, and learned how the startup ecosystem works in India.

The product didn't succeed.

But the experience gave us a much better understanding of where markets were heading.

More importantly, we built relationships with founders, creators, and potential users. That network became incredibly valuable.

Now ask yourself: what role did IIT actually play?

Mostly, it brought ambitious and driven people together under one roof.

That's a real advantage, but it is no longer an exclusive one.

Today, the internet gives everyone access to communities, hackathons, founders, mentors, and opportunities. One of my batchmates met his cofounder at EthIndia, started a company, dropped out, and built a successful company.

I also have many friends working at top tech companies. Most of their teammates are not from IITs. They are from colleges most people have never heard of.

So if you are not from an IIT, do not assume the game is rigged against you.

What you might be missing is exposure, guidance, network, or consistent effort, not an IIT tag.

The IIT advantage still exists, but it is much smaller than it used to be.

In today's market, skills, execution, and visibility matter far more than the name of your college.

[Anuvrata Chitranshi @anuvratiitg]

10th - 10 CGPA
12th - 93.2%
JEE - 5291 rank, IIT Guwahati
https://t.co/ai146OiMeP 1st year - Branch Change to MnC
3rd Year - Microsoft internship and PPO
2016 - Microsoft
2018 - Left job to prepare for UPSC Civil Services
2021 - Unemployed for 3 years (contd)

[om mishra @BuildWithOm]

aisi kya majboori rahi hogi?