Messi played against the Netherlands 🇳🇱, Croatia 🇭🇷, and France 🇫🇷 in 2022 and still won the World Cup. Now it’s Ronaldo’s turn to face them, and his fans are already crying. Keep crying your hearts out 😂😂.
Went to a gym in Kukatpally today.
I was doing an exercise wrong.
A bro in his 40s, full built, walked up and corrected me.
We started talking casually.
I asked him what he does.
He said he runs 6 gyms.
Then I asked him something I keep thinking about:
“Has migration to Hyderabad slowed down?”
He smiled and said:
“More than ever.”
Then came the real shock.
He said he makes around ₹6–10 lakhs per month from gyms.
With his catering business included, he is doing close to ₹1 Cr net income per year.
To earn ₹1 Cr post-tax in a job, you probably need ₹1.6–1.7 Cr CTC.
He also employs around 25 people.
And he is from Khammam. Not typical Andhra hostel owner
This is what Hyderabad’s IT ecosystem has quietly created.
Not just software jobs.
Gyms.
Hostels.
Catering.
Salons.
Restaurants.
Real estate.
Services.
Thousands of local entrepreneurs became crorepatis by serving the migration economy.
Hyderabad IT didn’t just create employees.
It created an entire wealth ecosystem around them.
What you watch on weekends
decides where you'll be in 5 years.
Most people are watching the wrong tier.
Tier 3 — Brain Drain
- Reels · OTT binge · Gossip YouTube
- IPL drama. Bigg Boss updates. Random shorts.
- Feels good in the moment. Zero return.
- You wake up Monday the exact same person.
Tier 2 — Brain Food
- Podcasts · TED Talks · Finance YouTube
- Nikhil Kamath. Zerodha Varsity. Lex Fridman.
- You start thinking differently.
- Ideas compound. Network expands. Mind opens.
Tier 1 — Brain Rewire
- Founder stories · Long-form interviews · Case studies
- How Narayana Murthy built Infosys with ₹10K.
- How Ritesh Agarwal dropped out and built OYO.
- You don't just get inspired — you get obsessed.
- And obsession builds empires.
Tier 3 gives you dopamine.
Tier 2 gives you knowledge.
Tier 1 gives you a blueprint.
Your media diet = your future net worth.
Stop building AI/ML projects in 2026 like it's 2023
Do this instead.
1. Classic ML:
- Stock forecasting:
Use Yahoo Finance API for stock forecasting. Learn moving averages, seasonality, and other features. Apply statistics, feature engineering, and model training.
Use transfer learning (index as parent model, stock as child model). Study ML techniques in finance and implement them.
Perform model versioning, experimentation, and MLOps lifecycle with Docker, CI/CD, and drift detection.
- Image/Video classification:
Pick static data from Kaggle. Perform data annotation, augmentation, and class imbalance handling. Train neural networks and explore various techniques.
Understand quantization and inference on NVIDIA Triton Inference. Deploy a lightweight model on mobile devices with better latency.
Build a pipeline to switch to improved model versions and monitor performance plus GPU usage.
---
2. Complete VLM/LLM pipeline:
- Design API for LLM:
Take any model from Unsloth. Understand fine-tuning stages, data cleaning, and chat templates.
Run fine-tuning on multi-GPU setup using PEFT. Save quantized versions on Hugging Face. Load the model in vLLM inference and build a complete FastAPI backend.
Fine-tune two models (one for text generation, one for reasoning). Route user queries with KV-cache and rate limiting.
Deploy the API with authentication on AWS/GCP. Monitor backend, tokens, and GPU usage. Stress-test the architecture and fix issues.
Excellent project.
---
3. Multi-Agent System
- Agent Harness with Ops (currently building):
Design a multi-subagent system that operates in isolation. Add a memory layer for conversations.
Learn prompt caching vs semantic caching tradeoffs. Build a backend with Celery workers to handle requests without exhausting the LLM. Evaluate agent orchestration with prompt versioning.
Deploy the orchestration backend with Docker, observability, and Kubernetes.
Keep in mind for any project:
- Learn architecture design and flow.
- Use rate limiting, caching, and Docker every time.
- For LLM projects, track token usage and design session limits.
- Deployment is mandatory on AWS or GCP free tier.
- For mid-to-senior roles, focus on Kubernetes, load balancing, multi-GPU training, and inference layers over data and project titles.
Instead of wasting $100 on certificates, spend on cloud credits and API keys for hands-on end-to-end design.
Lastly, project design and system understanding matter more than fancy titles or LLM providers.
Always ask Claude and Chatgpt for peer coding and designing. Simulate QnA sessions for deeper understanding.
Keep learning ;)
Zinc. Magnesium. Vitamin D. Omega 3.
Four things that cost less than a night out and will do more for your brain, your body and your testosterone than anything else you're currently spending money on. sort your stack out.
this PhD student had 47 interviews and 4 offers before she was hired at OpenAI.
she practiced with her “notes on LLMs” and math and they’re a goldmine. super concise and organic and shared to everyone for free. you can use her notes or her topic list to study on your own.
I'm joining OpenAI next week!🥹 The job search turned out to be really challenging but also super rewarding, so I wrote a small blog to share what I learned along the way and hopefully make the process a little less mysterious for the next person. https://t.co/6FigSBdenD
period in your life where you start to realize what it is all about and how the game is structured. if you are one of the lucky ones, you realize that life is not a linear battle but a full-on open front where you will have to take care of multiple things at once
Downloaded this video and watched during my flight last night …
Honestly, one of the best recent videos on building with AI … practical stuff 👍
Anthropic, Claude Code 🧑💻
#AI
أنا عمري 27.
ضيّعت نص العشرينات في الاكتئاب، والتسويف، وانعدام الدافعية.
كنت أحاول أضبط حياتي بشكل يائس عن طريق إني أعد نفسي بوعود وأحط أهداف…
لكن كنت أفشل كل مرة لأنّي ما كنت فاهمة أساسيات تطوير الذات.
هذي 8 مفاهيم في تطوير الذات ودي لو كنت أعرفها من 5 سنوات (عشان تقدر تصلّح حياتك خلال 6 شهور):
At my college, I’m teaching MLOps to sem 7 btech students this semester. Here’s a list of books I’m basing my content around:
> designing ml systems by Chip Huyen: the classic, the best thing around. goes into detail of pipelines, monitoring, evals
> designing data intensive apps: not directly ml, but a lot of important backend and infra concepts like distributed systems
> ml design patterns by Robinson et al: patterns of ml problems and their solutions
> reliable ml by Cathy Chen et al: google sre style approach to ml
these books are foundational to ml solutions and ultimately, to designing the best systems.
Self date ideas in Bangalore:
- Go to cubbon and read a book, stare at the trees or sky
- Church street: book shopping at blossoms or bookworm
- Church street: grab a beer at easy tiger and sit towards the road side and people watch
- museums: MAP, ngma, govt museum, there’s also music, HMT, and a few more that I haven’t been to.
- movies, standup shows, or a sports bar
- hiking - ton of bettas (hills) around Bangalore. And folks that organize hikes
- pick an event happening in the city (there are literally a bazillion)
- sports with strangers - playo
- communities- cubbon reads, HSR reads, Blr slack and flow, run clubs (there are a ton)
- learn something new- pottery, bouldering, swimming
- take a bike/ car and go somewhere. A bunch of places within 100 kms. do this only early mornings otherwise traffic will make it not fun very fast.