MLflow 3 + PayFlow AI — Part 8
GitHub Actions CI/CD + Structured Logs + Loki + Grafana + MLflow Tracing
Sep 18, 2026Read article
STACKEDIN / THE ENGINEERING NOTEBOOK
Ideas, made practical.
Explore posts by discipline, then filter by the technologies and topics inside each series.
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Topics
MLflow 3 + PayFlow AI — Part 7
PostgreSQL + MinIO + Docker Compose: Build the Self-Hosted MLOps Stack
Sep 17, 2026Read article
MLflow 3 + PayFlow AI — Part 6
MLflow Serving + Production FastAPI
Sep 17, 2026Read article
MLflow 3 + PayFlow AI — Part 5
Model Registry, Versions, Champion & Challenger
Sep 17, 2026Read article
MLflow 3 + PayFlow AI — Part 4
Model Evaluation & Production Quality Gates
Sep 17, 2026Read article
MLflow 3 + PayFlow AI — Part 3
Scale the Experiment: Random Forest, XGBoost, Run Comparison & MLflow Autologging
Sep 17, 2026Read article
MLflow 3 + PayFlow AI — Part 2
Build Our First Real ML Experiment: Payment Success Prediction
Sep 16, 2026Read article
MLflow 3 from Scratch : Part 1
Build MLflow locally in VS Code, understand the Tracking Server architecture, connect the UPI Transactions 2024 dataset, and create our first reproducible experiment step by step.
Sep 16, 2026Read article
MLflow 3 — From Experiment to Production
Build an End-to-End Customer Churn MLOps Platform
Sep 16, 2026Read article
AdaBoost Classification — Employee Attrition Prediction
From weak learners to a strong ensemble: building an end-to-end employee attrition prediction system with AdaBoost, scikit-learn, MLflow, FastAPI, Streamlit, Docker, GitHub Actions, and Azure.
Sep 2, 2026Read article
☁️ The Multi-Cloud : AI Architect
Azure × AWS × Google Cloud — AI, ML, GenAI, RAG, Agents, MLOps & Enterprise Architecture
Aug 22, 2026Read article
Production Model Serving : Phase 4
FastAPI + Pydantic + MLflow Champion + Service Layer + Batch Inference + Swagger + Streamlit
Aug 19, 2026Read article
MLflow Experiment Tracking, Model Registry & Model Lifecycle - Phase 3
Enterprise Credit Card Fraud Detection MLOps
Aug 19, 2026Read article
Reproducible ML Engineering : Phase 2
Git + DVC + Deterministic Pipelines + Data/Model Lineage
Aug 19, 2026Read article
🏦 Enterprise MLOps & AI Operations
Part 1 : From Raw Data → Production ML → Continuous Training → AI Platform
Aug 18, 2026Read article
🌳 Decision Tree Classification : [ M-11 ]
Complete End-to-End ML + MLOps Project
Aug 18, 2026Read article
🌸 K-Nearest Neighbors (KNN) - ML-010
From Zero to Production MLOps with Iris Flower Classification
Aug 18, 2026Read article
From Foundations to Production ML — The Machine Learning Algorithms Track Begins Now
Classification, Regression, Real-World Projects, MLOps, System Design, Deployment & Interview Preparation
Aug 16, 2026Read article
Topics
EDA & Feature Engineering: From Raw Data to Model-Ready Intelligence
Why understanding the data comes before building the model
Sep 23, 2026Read article
Data Analyst Mastery - Part 1
From Excel, SQL & Power BI to Senior Analyst, Analytics Lead and AI-Native Decision Intelligence — without accidentally becoming a Data Engineer
Sep 23, 2026Read article
Data Engineering → Data Architect Mastery Roadmap
SQL → Advanced SQL Problem Solving → Data Modeling → PostgreSQL → Warehouses → BigQuery/Snowflake → Python for Data → Spark → dbt → Airflow → Kafka → Lakehouse → Cloud Data Engineering → Power BI
Aug 24, 2026Read article
🏦 Enterprise Credit Card Fraud ML Foundation : Phase 01
From Raw Transactions → Data Validation → EDA → Feature Engineering → Multiple Models → Imbalance Handling → Cross-Validation → Hyperparameter Tuning → Threshold Optimization → Explainability → Final
Aug 18, 2026Read article
Seaborn for Statistical EDA
From Matplotlib Foundations → Statistical Visualization → Better ML Decisions
Aug 14, 2026Read article
ML-008: Exploratory Data Analysis (EDA)
Understand the Data Before You Ask a Model to Learn From It
Aug 11, 2026Read article
Topics
MLflow 3 + PayFlow AI — Part 3
Scale the Experiment: Random Forest, XGBoost, Run Comparison & MLflow Autologging
Sep 17, 2026Read article
AdaBoost Classification — Employee Attrition Prediction
From weak learners to a strong ensemble: building an end-to-end employee attrition prediction system with AdaBoost, scikit-learn, MLflow, FastAPI, Streamlit, Docker, GitHub Actions, and Azure.
Sep 2, 2026Read article
XGBoost Classification — Bank Marketing Prediction
XGBoost exposes a scikit-learn-compatible estimator interface, including classification through XGBClassifier.
Aug 19, 2026Read article
🌲 Random Forest Classifier
From Ensemble Learning → Fraud Probability → API → Dashboard → Docker → CI/CD → Cloud → Monitoring → Retraining
Aug 19, 2026Read article
🌳 Decision Tree Classification : [ M-11 ]
Complete End-to-End ML + MLOps Project
Aug 18, 2026Read article
🌸 K-Nearest Neighbors (KNN) - ML-010
From Zero to Production MLOps with Iris Flower Classification
Aug 18, 2026Read article
Logistic Regression - [ ML-009 ]
End-to-End Telecom Customer Churn Prediction
Aug 17, 2026Read article
From Foundations to Production ML — The Machine Learning Algorithms Track Begins Now
Classification, Regression, Real-World Projects, MLOps, System Design, Deployment & Interview Preparation
Aug 16, 2026Read article
Matplotlib for Machine Learning & Deep Learning
From Raw Numbers → Visual Patterns → Better ML Decisions
Aug 14, 2026Read article
Pandas for Machine Learning & Deep Learning
From Raw Tabular Data → Clean, Model-Ready Dataset
Aug 13, 2026Read article
NumPy for Machine Learning & Deep Learning
From Python Lists to Fast Numerical Computing
Aug 13, 2026Read article
Python for Machine Learning & Deep Learning
From Python Fundamentals → Advanced Concepts → ML-Ready Programming
Aug 13, 2026Read article
ML-007 — The Complete Machine Learning Workflow
From a Business Problem to a Production ML System
Aug 10, 2026Read article
ML-006 — Machine Learning Terminology: The Complete Beginner-to-Engineer Guide
Understand Data, Features, Targets, Parameters, Metrics, Overfitting, Bias & Variance — The Vocabulary Every ML Engineer Must Know
Aug 8, 2026Read article
ML-005 — Machine Learning Fundamentals Beyond the Basics
From Supervised Learning to Reinforcement Learning — How Machine Learning Systems Move From Data to Production
Aug 7, 2026Read article
ML-004 — What Is Machine Learning ?
How Computers Learn Patterns From Data Instead of Following Hard-Coded Rules
Aug 7, 2026Read article
ML-003 — Understanding the Types of Artificial Intelligence
From Narrow AI to Super Intelligence
Aug 7, 2026Read article
ML-002 — The Untold Story of Artificial Intelligence: From Alan Turing to ChatGPT
How 70 Years of AI History Created the Modern AI Revolution Series: 100 Days of Machine Learning & AI Engineering Phase 1 — Machine Learning Foundations Module 1 — Artificial Intelligence
Aug 7, 2026Read article
ML-001 — What is Artificial Intelligence?
Phase 1 — Machine Learning Foundations Module 1 — Artificial Intelligence Chapter: ML-001 — What is Artificial Intelligence?
Aug 7, 2026Read article
100 Days of Machine Learning & AI Engineering — Syllabus > Day 3
Enterprise Software Engineer to AI Architect : Enterprise Grade Projects
Aug 7, 2026Read article
100 Days of Machine Learning & AI Engineering — Syllabus > Day 2
From Enterprise Software Engineer to AI Architect
Aug 7, 2026Read article
100 Days of Machine Learning & AI Engineering — Syllabus > Day 2
From Enterprise Software Engineer to AI Architect
Aug 7, 2026Read article
100 Days of Machine Learning & AI Engineering — Day 1
Why I'm Starting This Journey: From Enterprise Software Engineer to AI Architect. A public learning journey documenting the transition from building enterprise software to designing production-grade A
Aug 6, 2026Read article
Topics
Part 1 — Image Generation Fundamentals
From Text Prompts to Pixels: Understanding How AI Creates Images
Sep 15, 2026Read article
AI Image Generation :A Complete Hands-On Journey from Diffusion Theory to Enterprise-Grade Image Generation APIs
From Open-Source Foundation Models to Fine-Tuned Production AI
Sep 15, 2026Read article
Transformers Explained: The Architecture Behind Modern AI
From BERT and GPT to Vision Transformers, Mixture-of-Experts, GQA, and modern LLMs — a practical guide to what Transformers are, why different types exist, and when each one is used.
Sep 11, 2026Read article
Computer Vision Specialist Track 2026
From Pixels to Perception — From Fundamentals to Production-Grade Vision AI
Aug 30, 2026Read article
Deep Learning Fundamentals - Part 2
From Artificial Neurons to Your First Neural Network
Aug 21, 2026Read article
Deep Learning Mastery: From Neural Networks to Production-Grade AI Systems - Part 1
🔥 Becoming a Deep Learning Expert: PyTorch, Computer Vision, Transformers & Enterprise AI Systems
Aug 20, 2026Read article
Matplotlib for Machine Learning & Deep Learning
From Raw Numbers → Visual Patterns → Better ML Decisions
Aug 14, 2026Read article
Pandas for Machine Learning & Deep Learning
From Raw Tabular Data → Clean, Model-Ready Dataset
Aug 13, 2026Read article
NumPy for Machine Learning & Deep Learning
From Python Lists to Fast Numerical Computing
Aug 13, 2026Read article
Python for Machine Learning & Deep Learning
From Python Fundamentals → Advanced Concepts → ML-Ready Programming
Aug 13, 2026Read article
Topics
Part 1 — Image Generation Fundamentals
From Text Prompts to Pixels: Understanding How AI Creates Images
Sep 15, 2026Read article
Transformers Explained: The Architecture Behind Modern AI
From BERT and GPT to Vision Transformers, Mixture-of-Experts, GQA, and modern LLMs — a practical guide to what Transformers are, why different types exist, and when each one is used.
Sep 11, 2026Read article
🐼 PandaLM — Notebook 02
Teaching PandaLM How to Read - Continuation of building An Open Foundational Small Language Model for Engineering...
Sep 10, 2026Read article
🐼 PandaLM — Notebook 01
Building the Training Corpus for a Foundational Engineering SLM
Sep 9, 2026Read article
🐼 PandaLM — Notebook 00
Building the Laboratory for a Foundational Engineering SLM
Sep 9, 2026Read article
PandaLM - An Open Foundational Small Language Model for Engineering
An Open Foundational Small Language Model for Engineering
Sep 9, 2026Read article
Phase 3 — LangChain Agents, LangGraph, MCP & Production
From Enterprise RAG to an Enterprise Engineering Agent What → Why → How → Real Code → Business Scenarios → Security → Deployment
Sep 6, 2026Read article
LangChain- Phase 2 — Production Enterprise RAG with Sarvam AI
From Naive Vector Search to Secure, Observable, Evaluated Enterprise RAG
Sep 6, 2026Read article
LangChain From Zero to Enterprise — Part 1
Models, Prompts, Structured Output, Runnables, Tools, Retrieval & Your First Enterprise RAG System
Sep 6, 2026Read article
Agentic AI in Production: Build a Secure Enterprise Engineering Agent from Scratch with Python, MCP, LangGraph, RAG, Guardrails & OpenTelemetry
From a real production incident to a working AI Engineering Copilot — built entirely in Python on Google Colab with MCP tools, local LLMs, RAG, human approvals, FastAPI, Gradio, observability...
Sep 4, 2026Read article
☁️ The Multi-Cloud : AI Architect
Azure × AWS × Google Cloud — AI, ML, GenAI, RAG, Agents, MLOps & Enterprise Architecture
Aug 22, 2026Read article
Deep Learning Mastery: From Neural Networks to Production-Grade AI Systems - Part 1
🔥 Becoming a Deep Learning Expert: PyTorch, Computer Vision, Transformers & Enterprise AI Systems
Aug 20, 2026Read article
ML-002 — The Untold Story of Artificial Intelligence: From Alan Turing to ChatGPT
How 70 Years of AI History Created the Modern AI Revolution Series: 100 Days of Machine Learning & AI Engineering Phase 1 — Machine Learning Foundations Module 1 — Artificial Intelligence
Aug 7, 2026Read article
Vector RAG vs. Vectorless RAG
The Retrieval Architecture Decision Guide for Modern AI Builders
Apr 3, 2026Read article
RAG is the Future of AI Apps — Here’s How to Build One Step-by-Step
Stop Building Dumb Chatbots — Build RAG-Powered AI That Actually Knows Your Data
Mar 27, 2026Read article
Topics
n8n Masterclass - Part 0
Automation, Workflows, Orchestration & How n8n Fits In
Sep 21, 2026Read article
Enterprise AI Automation & Agentic Systems Engineering - 1
From Workflow Automation to Production-Grade AI Agents, Durable Systems & Enterprise Platforms
Sep 21, 2026Read article
Phase 3 — LangChain Agents, LangGraph, MCP & Production
From Enterprise RAG to an Enterprise Engineering Agent What → Why → How → Real Code → Business Scenarios → Security → Deployment
Sep 6, 2026Read article
Agentic AI in Production: Build a Secure Enterprise Engineering Agent from Scratch with Python, MCP, LangGraph, RAG, Guardrails & OpenTelemetry
From a real production incident to a working AI Engineering Copilot — built entirely in Python on Google Colab with MCP tools, local LLMs, RAG, human approvals, FastAPI, Gradio, observability...
Sep 4, 2026Read article
☁️ The Multi-Cloud : AI Architect
Azure × AWS × Google Cloud — AI, ML, GenAI, RAG, Agents, MLOps & Enterprise Architecture
Aug 22, 2026Read article
Topics
n8n Masterclass Part 9
PostgreSQL & Business Data
Sep 21, 2026Read article
n8n Masterclass Part 8
Credentials, API Keys & OAuth
Sep 21, 2026Read article
n8n Masterclass Part 7
Loops, Batches & Pagination
Sep 21, 2026Read article
n8n Masterclass Part 6
IF, Switch, Merge & Business Decision Logic
Sep 21, 2026Read article
n8n Masterclass Part 5
HTTP Request Node & REST API Masterclass
Sep 21, 2026Read article
n8n Masterclass Part 4
Triggers, Webhooks & Building Your First Real HTTP Workflow
Sep 21, 2026Read article
n8n Masterclass - Make Your n8n Workflows Truly Dynamic : Part 3
Mastering Expressions & Dynamic Data
Sep 21, 2026Read article
n8n Masterclass Part 2
Understanding the n8n UI, Nodes, Executions, JSON, Items & Data Flow
Sep 21, 2026Read article
n8n Masterclass Part 1
Install n8n Locally with Docker + PostgreSQL
Sep 21, 2026Read article
n8n Masterclass - Part 0
Automation, Workflows, Orchestration & How n8n Fits In
Sep 21, 2026Read article
Enterprise AI Automation & Agentic Systems Engineering - 1
From Workflow Automation to Production-Grade AI Agents, Durable Systems & Enterprise Platforms
Sep 21, 2026Read article
Part 2 — Azure Logic Apps × .NET 10
From Empty VS Code Workspace to a Deployed Azure Workflow
Sep 14, 2026Read article
Azure Logic Apps: The Complete Mental Model Before You Build Anything
Azure Logic Apps: The Complete Mental Model Before You Build Anything
Sep 14, 2026Read article
ML-007 — The Complete Machine Learning Workflow
From a Business Problem to a Production ML System
Aug 10, 2026Read article
Topics
n8n Masterclass Part 1
Install n8n Locally with Docker + PostgreSQL
Sep 21, 2026Read article
Azure | AWS | GCP - Cloud & AI Architecture Masterclass
From Cloud Fundamentals to Enterprise Multi-Cloud & AI Architecture — Azure, AWS, Google Cloud (GCP)
Sep 19, 2026Read article
MLflow 3 + PayFlow AI — Part 8
GitHub Actions CI/CD + Structured Logs + Loki + Grafana + MLflow Tracing
Sep 18, 2026Read article
MLflow 3 + PayFlow AI — Part 7
PostgreSQL + MinIO + Docker Compose: Build the Self-Hosted MLOps Stack
Sep 17, 2026Read article
Part 2 — Azure Logic Apps × .NET 10
From Empty VS Code Workspace to a Deployed Azure Workflow
Sep 14, 2026Read article
Azure Logic Apps: The Complete Mental Model Before You Build Anything
Azure Logic Apps: The Complete Mental Model Before You Build Anything
Sep 14, 2026Read article
Microsoft Graph API, .NET 10, C# 14, Azure Service Bus, SignalR & AI + Real-Time Microsoft 365 Enterprise Intelligence Hub
From Outlook, Teams, SharePoint and OneDrive events to a production-grade event-driven enterprise platform
Sep 3, 2026Read article
AdaBoost Classification — Employee Attrition Prediction
From weak learners to a strong ensemble: building an end-to-end employee attrition prediction system with AdaBoost, scikit-learn, MLflow, FastAPI, Streamlit, Docker, GitHub Actions, and Azure.
Sep 2, 2026Read article
Data Engineering → Data Architect Mastery Roadmap
SQL → Advanced SQL Problem Solving → Data Modeling → PostgreSQL → Warehouses → BigQuery/Snowflake → Python for Data → Spark → dbt → Airflow → Kafka → Lakehouse → Cloud Data Engineering → Power BI
Aug 24, 2026Read article
Forward Deployed Engineer (FDE)
The Role That Connects Software Engineering, AI, Cloud, and Real Business Outcomes
Aug 24, 2026Read article
☁️ The Multi-Cloud : AI Architect
Azure × AWS × Google Cloud — AI, ML, GenAI, RAG, Agents, MLOps & Enterprise Architecture
Aug 22, 2026Read article
🌲 Random Forest Classifier
From Ensemble Learning → Fraud Probability → API → Dashboard → Docker → CI/CD → Cloud → Monitoring → Retraining
Aug 19, 2026Read article
Reproducible ML Engineering : Phase 2
Git + DVC + Deterministic Pipelines + Data/Model Lineage
Aug 19, 2026Read article
SD-001 — What Is System Design?
From a Business Idea → Requirements → Architecture → APIs → Data → Infrastructure → Production System
Aug 15, 2026Read article
The Complete System Design Mastery
From First Principles to 100+ Real-World Architectures, HLD, LLD, Distributed Systems, Cloud, Performance, Reliability, Security & AI System Design
Aug 15, 2026Read article
☸️ Part 2 : Kubernetes Mastery — Workloads, Configuration & Storage
Building Production-Ready .NET Microservices with ConfigMaps, Secrets, Volumes, Deployments, StatefulSets, DaemonSets, Jobs & CronJobs
Aug 12, 2026Read article
☸️ Part 1 : Kubernetes Mastery — From Containers to Production-Grade .NET Microservices
A Practical Guide to Building, Deploying, Scaling, and Operating .NET Microservices on Kubernetes
Aug 12, 2026Read article
Building a Production-Ready Azure Service Bus Topic in .NET Core
A Complete Step-by-Step Guide
Mar 24, 2026Read article
🚀 Queues vs Topics in Messaging Frameworks
A Practical Guide with Azure Service Bus & .NET Core
Mar 23, 2026Read article
Topics
n8n Masterclass Part 5
HTTP Request Node & REST API Masterclass
Sep 21, 2026Read article
Part 2 — Azure Logic Apps × .NET 10
From Empty VS Code Workspace to a Deployed Azure Workflow
Sep 14, 2026Read article
Factory Method Pattern : in Modern .NET 10 & C# 14
Create the Right Object Without Coupling Your Business Logic to Concrete Classes
Sep 13, 2026Read article
Singleton Pattern : in Modern .NET 10 & C# 14
One Instance, One Shared Resource — Classic Singleton vs AddSingleton in Real .NET Applications
Sep 12, 2026Read article
SOLID, Dependency Injection & Reading Real .NET Architecture
The Foundation Before We Start Implementing Design Patterns in .NET 10 & C# 14
Sep 12, 2026Read article
Design Patterns in Modern .NET 10 & C# 14
The Foundation You Need Before Learning Singleton, Factory, Strategy, Decorator, or Anything Else
Sep 12, 2026Read article
Microsoft Graph API, .NET 10, C# 14, Azure Service Bus, SignalR & AI + Real-Time Microsoft 365 Enterprise Intelligence Hub
From Outlook, Teams, SharePoint and OneDrive events to a production-grade event-driven enterprise platform
Sep 3, 2026Read article
Design Patterns from Zero to Architecture
: Python + C# with Real-World Examples
Aug 24, 2026Read article
Forward Deployed Engineer (FDE)
The Role That Connects Software Engineering, AI, Cloud, and Real Business Outcomes
Aug 24, 2026Read article
Python for Machine Learning & Deep Learning
From Python Fundamentals → Advanced Concepts → ML-Ready Programming
Aug 13, 2026Read article
☸️ Part 2 : Kubernetes Mastery — Workloads, Configuration & Storage
Building Production-Ready .NET Microservices with ConfigMaps, Secrets, Volumes, Deployments, StatefulSets, DaemonSets, Jobs & CronJobs
Aug 12, 2026Read article
☸️ Part 1 : Kubernetes Mastery — From Containers to Production-Grade .NET Microservices
A Practical Guide to Building, Deploying, Scaling, and Operating .NET Microservices on Kubernetes
Aug 12, 2026Read article
From Senior .NET Developer to AI Architect.
Day 1 of My AI Engineering Journey
Jun 2, 2026Read article
🧵 Multithreading in .NET Core: Building High-Performance Applications One Thread at a Time
A practical, step-by-step guide to mastering threads, tasks, and synchronization in modern .NET applications
Apr 4, 2026Read article
Building a Production-Ready Azure Service Bus Topic in .NET Core
A Complete Step-by-Step Guide
Mar 24, 2026Read article
🚀 Queues vs Topics in Messaging Frameworks
A Practical Guide with Azure Service Bus & .NET Core
Mar 23, 2026Read article
Topics
Agentic AI in Production: Build a Secure Enterprise Engineering Agent from Scratch with Python, MCP, LangGraph, RAG, Guardrails & OpenTelemetry
From a real production incident to a working AI Engineering Copilot — built entirely in Python on Google Colab with MCP tools, local LLMs, RAG, human approvals, FastAPI, Gradio, observability...
Sep 4, 2026Read article
Data Engineering → Data Architect Mastery Roadmap
SQL → Advanced SQL Problem Solving → Data Modeling → PostgreSQL → Warehouses → BigQuery/Snowflake → Python for Data → Spark → dbt → Airflow → Kafka → Lakehouse → Cloud Data Engineering → Power BI
Aug 24, 2026Read article
Design Patterns from Zero to Architecture
: Python + C# with Real-World Examples
Aug 24, 2026Read article
Pandas for Machine Learning & Deep Learning
From Raw Tabular Data → Clean, Model-Ready Dataset
Aug 13, 2026Read article
NumPy for Machine Learning & Deep Learning
From Python Lists to Fast Numerical Computing
Aug 13, 2026Read article
Python for Machine Learning & Deep Learning
From Python Fundamentals → Advanced Concepts → ML-Ready Programming
Aug 13, 2026Read article