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Posts by Afzal Malik

Home » Archives for Afzal Malik » Page 2
About Afzal Malik
Afzal Malik is an AI/ML Engineer with over 6 years of experience in IT, specializing in integrating AI systems and building intelligent chat agents. He is passionate about using data and AI to solve complex business problems. His expertise includes PySpark, Pandas, AWS Glue, AWS Data Wrangler, and AI/ML technologies. He holds certifications as an AWS Solutions Architect, AWS Data Engineer, and AWS AI/ML Foundation certified professional. Currently working on cutting-edge AI system integrations and developing conversational AI agents for enterprise applications.
Illustration of a central AI agent platform hub connecting cloud services
Posted inAI AWS

Amazon Bedrock AgentCore: A High-Level Overview of AWS’s AI Agent Platform

Amazon Bedrock AgentCore explained: what its 13 services actually do, how the pay-per-use pricing works, and when AWS's AI agent platform is worth adopting.
Posted by Afzal Malik August 4, 2026
Diagram of the OpenClaw self-hosted gateway connecting chat apps to an AI agent
Posted inAI

What Is OpenClaw? The Self-Hosted AI Agent Gateway, Explained

OpenClaw is a self-hosted AI agent that connects your chat apps to an assistant you fully control. Here's what it is, how it works, and how to install it.
Posted by Afzal Malik August 4, 2026
How to Generate Images Using Your GCP Account (Vertex AI + Nano Banana)
Posted inInformational

How to Generate Images Using Your GCP Account (Vertex AI + Nano Banana)

Turn text prompts into original images using your own Google Cloud account. A working, step-by-step guide to text-to-image with Vertex AI and Gemini.
Posted by Afzal Malik August 4, 2026
Posted inInformational

Open-Source vs. Open-Weight AI: A Detailed Breakdown

A clear, detailed explanation of the difference between fully open-source and open-weight AI models, covering the technical artifacts, licensing, and real-world implications for developers.
Posted by Afzal Malik July 26, 2026
Anthropic’s J-Lens: How Researchers Read What Claude Is Thinking Before It Speaks
Posted inAI

Anthropic’s J-Lens: How Researchers Read What Claude Is Thinking Before It Speaks

Anthropic's J-lens reads what Claude is thinking before it speaks. Here's how the J-space really works, the fake-bug moment, and why it's no lie detector.
Posted by Afzal Malik July 14, 2026
Loom for AWS deployment architecture diagram: Cognito, Route 53, and an ALB in the public subnet routing to a React frontend, FastAPI backend, RDS Proxy with Postgres, S3, and AgentCore Runtime in the private subnet.
Posted inAI AWS

Loom for AWS Explained: How the Open-Source Agent Platform Deploys

Loom for AWS is AWS's open-source platform for deploying AI agents on Bedrock AgentCore. We read the architecture diagram to show how it actually works.
Posted by Afzal Malik July 13, 2026
3-tier web application architecture on AWS: Route 53, CloudFront with WAF, a public Application Load Balancer, web and app EC2 tiers in private subnets, and RDS Multi-AZ across two Availability Zones
Posted inAWS Cloud Computing

3-Tier Web Application Architecture on AWS: A Reference Deployment Explained

A walkthrough of a 3-tier web application architecture on AWS: Route 53, CloudFront, a public ALB, EC2 in private subnets, and RDS Multi-AZ auto failover.
Posted by Afzal Malik July 12, 2026
Lossless Claw plugin for OpenClaw AI agent - perfect memory recall with DAG and SQL storage
Posted inAI

Lossless Claw: The OpenClaw Plugin That Gives Your AI Agent a Perfect Memory

Lossless Claw is an OpenClaw plugin that prevents AI agent memory loss by saving every message to SQL and organising history into a navigable DAG of summaries — giving your agent perfect recall in long sessions.
Posted by Afzal Malik March 15, 2026
Graphviz Medallion Architecture Data Pipeline Diagram - Bronze Silver Gold layers
Posted inData Engineering

Graphviz Tutorial: Install, Setup & Build Your First Diagram on Linux (Medallion Architecture Example)

Learn how to install Graphviz on Linux and create professional architecture diagrams using the DOT language. Includes a complete Medallion Architecture data pipeline example with Bronze, Silver, and Gold layers.
Posted by Afzal Malik March 15, 2026
Snowflake caching architecture diagram showing three cache layers
Posted inData Engineering Technical Blogs

Snowflake Caching Explained: Query Results, Metadata and Warehouse Cache

Learn how Snowflake's three caching layers — Query Results Cache, Metadata Cache, and Warehouse Cache — work together to speed up queries and cut compute costs.
Posted by Afzal Malik March 14, 2026

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