Open Knowledge Archive

Engineering Knowledge Base

Welcome to my personal archive of technical presentations and architectural studies. This repository reflects my continuous journey in Software Engineering and Artificial Intelligence. The goal of this open collection is to contribute to the engineering community by synthesizing complex topics into structured, digestible modules. These materials are the result of years of hands-on experience and deep research, shared freely to help peers accelerate their own technical paths.
🧠 The Agentic Path: AI Research Series
MODULE 00

The Big Picture: From Logic to Generative Agents

MODULE 00 Introductory / Strategic The Big Picture: From Logic to Generative Agents An executive and strategic overview of the AI revolution. We move from...

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MODULE 01

Attention Is All You Need: Transformers Architecture

MODULE 01 Foundational / Technical Attention Is All You Need: Transformers Architecture The foundational neural network design behind Large Language Models (LLMs). This module dissects...

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MODULE 02

The Geometry of Meaning: Tokenization & Vector Spaces

MODULE 02 Foundational / Technical The Geometry of Meaning: Tokenization & Vector Spaces Before a machine can think, it must convert language into numbers. This...

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MODULE 03

Encoder vs. Decoder: Choosing the Right Engine

MODULE 03 Technical / Architectural Encoder vs. Decoder: Choosing the Right Engine Not all Transformers are created equal. This module demystifies the architectural divergence between...

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MODULE 04

Data Retrieval Systems: Building External Memory

MODULE 04 Intermediate / Systems Data Retrieval Systems: Building External Memory Large Language Models have a knowledge cutoff. This module shifts focus from model architecture...

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MODULE 05

The Art of Constraints: Advanced Prompt Engineering

MODULE 05 Practical / Implementation The Art of Constraints: Advanced Prompt Engineering Prompt Engineering is not magic; it is the rigorous art of constraining the...

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MODULE 06

Autonomous Agents: The Complete Orchestration Guide

MODULE 06 Deep Dive / Masterclass Autonomous Agents: The Complete Orchestration Guide The frontier of AI Engineering. We move beyond linear chains to architect Cyclic...

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πŸš€ MLOps: Machine Learning Engineering
MLOPS-01

Introduction to MLOps Lifecycle

Maturity models, NYC Taxi Dataset overview, and environment setup for production ML.

Available Soon...
MLOPS-02

Experiment Tracking & Model Management

Deep dive into MLflow: tracking experiments, registering models, and versioning.

Available Soon...
MLOPS-03

Orchestration & Workflow Pipelines

Automating ML workflows with Prefect and Mage for robust data pipelines.

Available Soon...
πŸ—£οΈ Applied NLP: NLU & NLG Mastery (E2E)
NLP-01

Deep NLU: Intent & Entity Recognition

Building robust Natural Language Understanding engines. From Slot Filling to multi-intent classification.

Available Soon...
NLP-02

Neural Text Generation (NLG) Mastery

Decoding strategies, temperature control, and Nucleus Sampling in Autoregressive models.

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πŸ› οΈ Software Engineering & Data Structures
SWE-01

Design Patterns in Pythonic Context

Structural and Creational patterns adapted for modern asynchronous development.

Available Soon...
SWE-02

Competitive Python & Algorithms

Solving complex challenges: from string validators to advanced ITA-based complexity analysis.

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πŸ›οΈ Computer Engeneering / Science Foundations: The Deep Series
CS-FUND-01

Data Structures & Complexity

Order of functions, recursive algorithms, and elementary structures.

Soon...
CS-FUND-02

Advanced Algorithms & Graphs

Sorting, pattern searching, and graph traversals.

Soon...
CS-FUND-03

Compiler Engineering

Lexical and syntactic analysis for virtual machines.

Soon...
πŸ” Technical Deep Dives & Systems Architecture

🀝 Community & Philosophy

Knowledge grows when shared. This page serves as a β€œliving document” of my studies.

β€œWe are standing on the shoulders of giants. This is my way of adding a small step to the ladder.”