AI Didn’t Make Engineers Cheaper. It Changed What You Hire Them For.
Agents now write most of the code on a live data platform. The AI bill is the cheapest line in the system. The person who decides what’s true is the most exp...
- AI 31
- LLM 21
- ML 13
- Productionisation 10
- Feature Engineering 9
- MLOps 8
- Platform 7
- Team 6
- iGaming 5
- Prompt Engineering 5
- Future of Work 5
- Analytics 4
- DL 4
- RAG 4
- AI Agents 4
- API 3
- AI Benchmarking 3
- Software Engineering 3
- AI-Assisted Coding 3
- Segmentation 2
- EDA 2
- Property 2
- Churn 2
- Event 2
- NLP 2
- Vector Store 2
- AGI 2
- MCP 2
- Agentic AI 2
- Code Quality Assurance 2
- Automated Testing 2
- Retrieval Augmented Generation 2
- Software Development 2
- Technology Strategy 2
- CLV 1
- Sentiment Analysis 1
- Langchain 1
- TTS 1
- Statistics 1
- Cryptography 1
- Security 1
- Python 1
- Coding Principles 1
- Training 1
- Kaggle Competitions 1
- DeepSeek AI 1
- Tech Leaders 1
- Agent AI 1
- Autonomous Software Development 1
- Cursor 1
- Future of Coding 1
- AI Software Engineering 1
- CRM 1
- Personalisation 1
- Model Context Protocol (MCP) 1
- Claude Code 1
- Developer Tools 1
- GitHub 1
- Developer Experience 1
- SaaS 1
- Open Source 1
- Build vs Buy 1
- Data Engineering 1
- Agentic Coding 1
- Data Platform 1
- Governance 1
AI
AI Isn’t Killing SaaS. It’s Killing the Moat.
The moat was never the software. It was the cost of owning it, and AI has compressed exactly that. What it means for every line on your software bill.
The Two-Prompt Profile: Delegating a Dev Chore to an Agent
The end result. A self-hosted, GitHub-dark, and counting work the public tools never see.
LLM
ML
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
PyMalta Machine Learning Events Permalink
As part of my ongoing efforts to promote data science and machine learning in Malta, I had the pleasure of organizing two educational events for the PyMalta ...
ML Templates Permalink
A set of templates used for model selection for Binary- and Multi-Class Classification problems.
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Hash Code 2018 Pizza Slicer Practice Problem
The Hash Code 2018 Pizza Slicer Practice Problem challenges participants to cut a large pizza into slices that contain a valid mix of ingredients, aiming to ...
Predicting the results for the 2018 Fifa World Cup Permalink
Interesting results from EDA and Feature engineering using past football data.
House price prediction for the Maltese Market Permalink
This project was put together for the Data X - An Introduction to Data Science: Storage, Visualisation and Analysis. This was one of my first attempts and ut...
Early Segmentation for online Casino Players Permalink
This notebook shows how to segment online Casino players and how to use the segments to target marketing campaigns.
Productionisation
Approximate Pi numerically using Monte Carlo Simulations Permalink
In this article, I demonstrate a Monte Carlo simulation approach to approximate $\pi$ by calculating the ratio of points within a unit circle to points in a ...
Deploying ML Classifier as an API using Flask Permalink
In these set of notebooks, I put together an API within Flask to be used in production.
Simulating a queue in a post office Permalink
This article presents a simulation of a queue system at a post office where customers arrive randomly, wait to be served by one of two clerks, and have a cha...
Feature Engineering
Malta Property Bubble Analysis Permalink
The Maltese property market has garnered increasing attention as property prices surge to unprecedented levels, sparking widespread debate about whether we a...
Predicting the results for the 2018 Fifa World Cup Permalink
Interesting results from EDA and Feature engineering using past football data.
House price prediction for the Maltese Market Permalink
This project was put together for the Data X - An Introduction to Data Science: Storage, Visualisation and Analysis. This was one of my first attempts and ut...
Portfolio Optimization using Markowitz Efficiency Frontier and Dash Permalink
Modern Portfolio Theory (MPT), introduced by Nobel laureate Harry Markowitz, is foundational in finance for balancing risk and return. In this article, I pre...
Chess Analytics Permalink
The Kingbase dataset, a collection of 1.8 million chess games in Portable Game Notation (PGN) format, offers a rich resource for analysing trends and pattern...
MLOps
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
Approximate Pi numerically using Monte Carlo Simulations Permalink
In this article, I demonstrate a Monte Carlo simulation approach to approximate $\pi$ by calculating the ratio of points within a unit circle to points in a ...
Deploying ML Classifier as an API using Flask Permalink
In these set of notebooks, I put together an API within Flask to be used in production.
Simulating a queue in a post office Permalink
This article presents a simulation of a queue system at a post office where customers arrive randomly, wait to be served by one of two clerks, and have a cha...
Platform
AI Isn’t Killing SaaS. It’s Killing the Moat.
The moat was never the software. It was the cost of owning it, and AI has compressed exactly that. What it means for every line on your software bill.
Team
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
PyMalta Machine Learning Events Permalink
As part of my ongoing efforts to promote data science and machine learning in Malta, I had the pleasure of organizing two educational events for the PyMalta ...
ML Templates Permalink
A set of templates used for model selection for Binary- and Multi-Class Classification problems.
iGaming
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Early Segmentation for online Casino Players Permalink
This notebook shows how to segment online Casino players and how to use the segments to target marketing campaigns.
Prompt Engineering
Future of Work
AI Didn’t Make Engineers Cheaper. It Changed What You Hire Them For.
Agents now write most of the code on a live data platform. The AI bill is the cheapest line in the system. The person who decides what’s true is the most exp...
AI Isn’t Killing SaaS. It’s Killing the Moat.
The moat was never the software. It was the cost of owning it, and AI has compressed exactly that. What it means for every line on your software bill.
Analytics
Malta Property Bubble Analysis Permalink
The Maltese property market has garnered increasing attention as property prices surge to unprecedented levels, sparking widespread debate about whether we a...
Portfolio Optimization using Markowitz Efficiency Frontier and Dash Permalink
Modern Portfolio Theory (MPT), introduced by Nobel laureate Harry Markowitz, is foundational in finance for balancing risk and return. In this article, I pre...
Chess Analytics Permalink
The Kingbase dataset, a collection of 1.8 million chess games in Portable Game Notation (PGN) format, offers a rich resource for analysing trends and pattern...
DL
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
RAG
AI Agents
API
Approximate Pi numerically using Monte Carlo Simulations Permalink
In this article, I demonstrate a Monte Carlo simulation approach to approximate $\pi$ by calculating the ratio of points within a unit circle to points in a ...
Deploying ML Classifier as an API using Flask Permalink
In these set of notebooks, I put together an API within Flask to be used in production.
Simulating a queue in a post office Permalink
This article presents a simulation of a queue system at a post office where customers arrive randomly, wait to be served by one of two clerks, and have a cha...
AI Benchmarking
Software Engineering
AI-Assisted Coding
The Two-Prompt Profile: Delegating a Dev Chore to an Agent
The end result. A self-hosted, GitHub-dark, and counting work the public tools never see.
Segmentation
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Early Segmentation for online Casino Players Permalink
This notebook shows how to segment online Casino players and how to use the segments to target marketing campaigns.
EDA
Predicting the results for the 2018 Fifa World Cup Permalink
Interesting results from EDA and Feature engineering using past football data.
Early Segmentation for online Casino Players Permalink
This notebook shows how to segment online Casino players and how to use the segments to target marketing campaigns.
Property
Malta Property Bubble Analysis Permalink
The Maltese property market has garnered increasing attention as property prices surge to unprecedented levels, sparking widespread debate about whether we a...
House price prediction for the Maltese Market Permalink
This project was put together for the Data X - An Introduction to Data Science: Storage, Visualisation and Analysis. This was one of my first attempts and ut...
Churn
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Event
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
PyMalta Machine Learning Events Permalink
As part of my ongoing efforts to promote data science and machine learning in Malta, I had the pleasure of organizing two educational events for the PyMalta ...
NLP
Back to Top ↑Vector Store
Back to Top ↑AGI
MCP
Agentic AI
Code Quality Assurance
Automated Testing
Retrieval Augmented Generation
Software Development
Technology Strategy
AI Didn’t Make Engineers Cheaper. It Changed What You Hire Them For.
Agents now write most of the code on a live data platform. The AI bill is the cheapest line in the system. The person who decides what’s true is the most exp...
AI Isn’t Killing SaaS. It’s Killing the Moat.
The moat was never the software. It was the cost of owning it, and AI has compressed exactly that. What it means for every line on your software bill.
CLV
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Sentiment Analysis
Back to Top ↑Langchain
Back to Top ↑TTS
Back to Top ↑Statistics
Back to Top ↑Cryptography
Back to Top ↑Security
Back to Top ↑Python
Back to Top ↑Coding Principles
Back to Top ↑Training
Back to Top ↑Kaggle Competitions
Back to Top ↑DeepSeek AI
Back to Top ↑Tech Leaders
Back to Top ↑Agent AI
Back to Top ↑Autonomous Software Development
Back to Top ↑Cursor
Back to Top ↑Future of Coding
Back to Top ↑AI Software Engineering
Back to Top ↑CRM
Back to Top ↑Personalisation
Back to Top ↑Model Context Protocol (MCP)
Back to Top ↑Claude Code
The Two-Prompt Profile: Delegating a Dev Chore to an Agent
The end result. A self-hosted, GitHub-dark, and counting work the public tools never see.
Developer Tools
The Two-Prompt Profile: Delegating a Dev Chore to an Agent
The end result. A self-hosted, GitHub-dark, and counting work the public tools never see.
GitHub
The Two-Prompt Profile: Delegating a Dev Chore to an Agent
The end result. A self-hosted, GitHub-dark, and counting work the public tools never see.
Developer Experience
The Two-Prompt Profile: Delegating a Dev Chore to an Agent
The end result. A self-hosted, GitHub-dark, and counting work the public tools never see.
SaaS
AI Isn’t Killing SaaS. It’s Killing the Moat.
The moat was never the software. It was the cost of owning it, and AI has compressed exactly that. What it means for every line on your software bill.
Open Source
AI Isn’t Killing SaaS. It’s Killing the Moat.
The moat was never the software. It was the cost of owning it, and AI has compressed exactly that. What it means for every line on your software bill.
Build vs Buy
AI Isn’t Killing SaaS. It’s Killing the Moat.
The moat was never the software. It was the cost of owning it, and AI has compressed exactly that. What it means for every line on your software bill.
Data Engineering
AI Didn’t Make Engineers Cheaper. It Changed What You Hire Them For.
Agents now write most of the code on a live data platform. The AI bill is the cheapest line in the system. The person who decides what’s true is the most exp...
Agentic Coding
AI Didn’t Make Engineers Cheaper. It Changed What You Hire Them For.
Agents now write most of the code on a live data platform. The AI bill is the cheapest line in the system. The person who decides what’s true is the most exp...
Data Platform
AI Didn’t Make Engineers Cheaper. It Changed What You Hire Them For.
Agents now write most of the code on a live data platform. The AI bill is the cheapest line in the system. The person who decides what’s true is the most exp...
Governance
AI Didn’t Make Engineers Cheaper. It Changed What You Hire Them For.
Agents now write most of the code on a live data platform. The AI bill is the cheapest line in the system. The person who decides what’s true is the most exp...