Temitope Fortran Ogunbiyi

[Born Madridista @bornmadridista0]

🚨💣 BREAKING: Real Madrid are reportedly open to the possibility of Vinícius Jr. leaving if an agreement over a new contract cannot be reached. 🤍⚠️

According to reports, Los Blancos do not plan to improve their latest renewal offer, leaving the situation at a crucial stage.

⚡ Vinícius remains a key figure at the Santiago Bernabéu, but the lack of progress in contract talks has opened the door to uncertainty over his future.

👀 With Arsenal showing strong interest, the coming weeks could be decisive for one of Real Madrid’s biggest stars.

🗞️ @Rodra10_97 | @ESPNFC

[Raytar @Raytar]

My friend applied to 200 tech jobs in two years. No CS degree. No callbacks.

Last month Anthropic offered him $750,000.

All because of one Stanford lecture. Free on YouTube. One hour.

A professor explains how ChatGPT actually works. Not the Twitter version. The real one.

He watched it in bed. Paused it eleven times. After that hour he told me something I didn't believe. "It's embarrassingly simple."

Three days later he applied to Anthropic.

Every single question they asked him, he knew from that video.

[Temitope Fortran Ogunbiyi @Fortran_001]

@techsis_1813 Let's connect, Bee. Fb

[Temitope Fortran Ogunbiyi @Fortran_001]

@aishalee02 Let's connect

[Temitope Fortran Ogunbiyi @Fortran_001]

@maadan_dev Just did 👍

[Temitope Fortran Ogunbiyi @Fortran_001]

@o_agbajee @alexanderr_io Followed you

[Temitope Fortran Ogunbiyi @Fortran_001]

@alexanderr_io @ikechi0x1 Fb

[Temitope Fortran Ogunbiyi @Fortran_001]

@ikechi0x1 @alexanderr_io Fb

[Temitope Fortran Ogunbiyi @Fortran_001]

@maadan_dev Hi

[Neo Kim @systemdesignone]

If you want to become a world-class software engineer (in 6 months), read these 12 books:

1 The Pragmatic Programmer
2 Designing Data-Intensive Applications
3 Clean Code
4 The Mythical Man-Month
5 Refactoring
6 Working Effectively with Legacy Code
7 Software Architecture: The Hard Parts
8 Database Internals
9 Staff Engineer
10 Extreme Ownership
11 Philosophy of Software Design
12 Why Programs Fail

What else should make this list?

[The Tech Prophet (Amospikins) @Amospikins]

Before You Shout “We’ve Been Hacked,” Understand This

[Temitope Fortran Ogunbiyi @Fortran_001]

@peter_awotundun Keep going, Champ

[Suraj Sharma @suraj_sharma14]

If I had 6 months to become an AI/ML Engineer.

I'd do this.

Stage 1 : Python + Data Engineering
pandas, numpy, SQL, Parquet/Arrow, API ingestion, data validation, pipeline orchestration.

Stage 2 : ML Fundamentals + Statistics
Linear algebra, probability, bias/variance, supervised/unsupervised learning, evaluation metrics.

Stage 3 : Deep Learning + Frameworks
PyTorch, training loops, backprop, CNNs/Transformers, optimizers, learning rate schedulers.

Stage 4 : Feature Stores + Pipelines
Feature engineering, preprocessing, data versioning, DVC, Airflow/Prefect, dbt integration.

Stage 5 : Experiment Tracking + Tuning
MLflow/Weights & Biases, hyperparameter optimization, cross-validation, reproducibility, model registry.

Stage 6 : Model Deployment + Serving
FastAPI, Docker, model registries, batch vs real-time inference, REST/gRPC endpoints, scaling.

Stage 7 : LLM Integration + GenAI
RAG pipelines, fine-tuning (LoRA/QLoRA), prompt engineering, embedding models, vector databases.

Stage 8 : MLOps + CI/CD
GitHub Actions, automated testing, model validation gates, continuous training, deployment strategies.

Stage 9 : Monitoring + Drift Detection
Data/concept drift, performance metrics, structured logging, alerting, automated retraining triggers.

Stage 10 : Infrastructure + Cloud Scale
AWS/GCP ML stacks, distributed training, GPU orchestration, Kubernetes, autoscaling, cost tracking.

Stage 11 : Open Source + Portfolio
Ship end-to-end ML systems publicly, write architecture docs, record demos, publish benchmarks.

Stage 12 : Apply
AI/ML Engineer, MLOps Engineer, AI Infrastructure Engineer, Data Science Engineering roles.

Most people stay stuck watching tutorials.

Builders get hired.

[Temitope Fortran Ogunbiyi @Fortran_001]

@callme_Riken @Khalil_Oracle @TEEPHTREND Dead. That same year

[Temitope Fortran Ogunbiyi @Fortran_001]

@MiOnyema54873 @Khalil_Oracle It actually happened

[Edgex @SahilExec]

A junior dev built a JWT auth system:

Works perfectly.
Users stay logged in for 30 days.

Security team finds a critical issue:

A user gets banned.
But they stay logged in
and keep accessing the dashboard
for the rest of the 30 days.

What's the flaw
and what are two ways to fix it?

[Temitope Fortran Ogunbiyi @Fortran_001]

@FarnworthLion @fiago7 Head-to-Head, man

[Akintola Steve @Akintola_steve]

Message broker ?

A message broker is basically the middleman between services.

Instead of services talking directly to themselves and slowing everything down, they drop messages into a broker.

The broker then stores, queues and delivers those messages to the right consumers.

That’s how “Large scale” systems handle async jobs without blocking users or crashing under heavy traffic.

Examples:
Uber ride events,
Netflix notifications,
Paystack webhook processing,
WhatsApp message delivery.

Popular tools:
Kafka,
RabbitMQ,
Redis Streams,
AWS SQS.

Without message brokers, retries become messy, services become tightly coupled and traffic spikes start choking the entire system.

[Python Programming @PythonPr]

Build a Local AI Agent With Python (Ollama, LangChain & RAG)
https://t.co/V4lCr8fUDz

[Ewgi @Ssaasquatch]

Haven’t shared this before, but a lot of people ask me how I do it, so here goes:

Long-dated options, or LEAPS, are a powerful way to aggressively compound portfolio gains if you have high conviction about the future price of a stock. I have personally made a lot of money doing this. Yes it works!

LEAPS gives you opportunity to control at least 100 shares of a stock without owning them. I use this mostly for swing trades I plan to dump in <1 year or two. No point doing this for long term holds.

Eg: A stock trades at $10 and you believe it can hit $20 within a year, Instead of spending $1,000 to buy 100 shares, you buy 3 call contracts with $11 strike (will explain this later), expiring roughly a year from now. Some people do short dated ones too. That’s fine as look as it’s not too short. You need time for your thesis to play out. Avoid ODTEs if you know what’s good for you except you’re an idiot.

Assume premium is say $3 per share? Each contract would cost: $3 x 100 = $300. 3 contracts would cost: $300 x 3 = $900. Total cost = $900

Now suppose the stock doubles to $20 in one year, just as you projected.

Each contract is now worth:

($20 - $11) x 100 = $900. Meaning 3 contracts you bought would be worth $2700

Summary:
Initial cost: $900
Final value: $2700
Profit: $1800

Assuming you bought the stock outright:
100 shares at $10= $1k. If the stock goes to $20, your shares are worth $2k. Profit: $1k.
In other words, LEAPS compounded your returns with lesser capital and vice versa.

Are there risks involved ? Of course. A lot of risk.

If the stock does not rerate meaningfully higher, you can lose most or all of your capital.

A wise man once said, “Leverage is for idiots.” and he wasn’t exactly wrong.

This isn’t something you YOLO, and definitely not with a large chunk of your port. I personally never risk more than 10% of my port (Okay fine, I’m lying. It goes as high as 20% sometimes)

You only use LEAPS when your conviction is extremely high and you believe the stock can rerate aggressively to the upside.

Now here’s the real alpha:

How do you manage risk and find the right stock for this kind of bet?

This is the filter that has consistently worked for me:

1. I like beaten down assets with improving business margins ie Growing revs & bottom line, positive or improving EBITDA (adj), and a low D/E ratio.

On the technical side, the stock should be trading within say 10% of their 52-week low, RSI below 40, and sitting on key support across all long timeframes.

The goal is to always find a mispriced asset, not to catch a falling knife.

2. Buy around 10% OTM strikes ie If a stock is at $10, I’m looking around the $11 strike.

That way, the stock only needs to move above the strike plus the premium paid for the trade to become profitable. If you buy very far OTM strikes, you can still lose money even if the stock moves meaningfully higher. This is essentially baba ijebu.

3. Theres no point holding the contract into the final 60 days unless it is already deep ITM and you are comfortably profitable. Read up about something called thetas and option decays.
At that point, either sell it, roll it, convert to shares, or take the loss on the chin. You live to fight another day.

4. Only buy LEAPS when implied volatility is low cos Low IV = cheaper premium. Thats when LEAPS make the most sense cos you don’t want to overpay for optionality, then be directionally right and still get hurt cos IV compresses.

My current LEAPS:

$HIMS
$SOFI

As always, This is not financial advice. Just sharing what works for me.

There are tons of tutorials on YouTube that explain the mechanics better, but take this as a primer.

You’re welcome :)