📌 From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch

🗂 Category: DEEP LEARNING

🕒 Date: 2025-08-11 | ⏱️ Read time: 19 min read

Practical Neuroevolution: Reproducing NEAT’s Innovations and Code Walkthrough

📌 LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions

🗂 Category: AGENTIC AI

🕒 Date: 2025-08-11 | ⏱️ Read time: 11 min read

Stop guessing your statistical test. Let this AI do it for you.

📌 How to Write Insightful Technical Articles

🗂 Category: WRITING

🕒 Date: 2025-08-08 | ⏱️ Read time: 9 min read

Learn how to write informative technical articles

📌 Generating Structured Outputs from LLMs

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-08 | ⏱️ Read time: 13 min read

An overview of popular techniques to confine LLMs’ output to a predefined schema

📌 Demystifying Cosine Similarity

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-08 | ⏱️ Read time: 8 min read

Mathematical intuition and practical considerations for NLP scenarios

📌 Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-07 | ⏱️ Read time: 6 min read

Explore how STL uses LOESS smoothing to extract trend and seasonal components.

📌 Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-06 | ⏱️ Read time: 18 min read

A practical exploration of how guardrails safeguard multi-agent systems in Python using OpenAI Agents SDK,…

📌 Agentic AI: On Evaluations

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-07 | ⏱️ Read time: 16 min read

Metrics to track for RAG and agents, plus the frameworks that help

📌 Finding Golden Examples: A Smarter Approach to In-Context Learning

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-08-07 | ⏱️ Read time: 7 min read

From random example selection to systematic AuPair generation  — how to make your LLM prompts actually…

📌 The Channel-Wise Attention | Squeeze and Excitation

🗂 Category: DEEP LEARNING

🕒 Date: 2025-08-07 | ⏱️ Read time: 22 min read

Applying the Squeeze and Excitation module on ResNeXt using PyTorch

📌 The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-06 | ⏱️ Read time: 30 min read

Unless you’re someone who lives and breathes cybersecurity, chances are you didn’t think much about…

📌 How I Won the “Mostly AI” Synthetic Data Challenge

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-06 | ⏱️ Read time: 8 min read

A deep dive into how post-processing can supercharge synthetic data generation

📌 The Machine, the Expert, and the Common Folks

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-06 | ⏱️ Read time: 15 min read

A look at noise, consistency and broken legs

📌 InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI

🗂 Category: LARGE DATA MODELS

🕒 Date: 2025-08-06 | ⏱️ Read time: 8 min read

Learn how InfiniBand and RoCEv2 enable high-speed GPU communication

📌 Context Engineering — A Comprehensive Hands-On Tutorial with DSPy

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-05 | ⏱️ Read time: 18 min read

Let’s dissect the art and science of context engineering, one module at a time!

📌 Things I Wish I Had Known Before Starting ML

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-05 | ⏱️ Read time: 6 min read

Part 2: Guardrails, research code, reading

📌 How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-05 | ⏱️ Read time: 10 min read

Welcome to the 21st century by the hand of large language models and reasoning AI…

📌 Stellar Flare Detection and Prediction Using Clustering and Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-05 | ⏱️ Read time: 11 min read

Combining unsupervised clustering with supervised learning to detect and predict stellar flares

📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-05 | ⏱️ Read time: 17 min read

Let’s observe the matter on the atomic level

📌 Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-05 | ⏱️ Read time: 7 min read

What happens when you stop concatenating and start decomposing: a new way to think about…

📌 From Data Scientist IC to Manager: One Year In

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-04 | ⏱️ Read time: 9 min read

Three pillars that shaped my first year in data science management - prioritization, empowerment, and recognition