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.
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.
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.
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.
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.
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.
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.
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.
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.
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.