<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>The Alchemist — Mohammed Vasim</title>
    <link>https://www.mohdvasim.com</link>
    <description>In-depth tutorials on ML, deep learning, statistics, agentic AI, and production AI systems.</description>
    <language>en-us</language>
    <atom:link href="https://www.mohdvasim.com/feed.xml" rel="self" type="application/rss+xml" />
    <lastBuildDate>Sat, 04 Jul 2026 00:02:25 GMT</lastBuildDate>
    <image>
      <url>https://www.mohdvasim.com/android-chrome-512x512.png</url>
      <title>The Alchemist</title>
      <link>https://www.mohdvasim.com</link>
    </image>
    
    <item>
      <title><![CDATA[Hermes Agent's "Self-Improving" Backbone: What It Actually Does (And What It Doesn't)]]></title>
      <link>https://www.mohdvasim.com/blog/17-hermes-agent-self-improving</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/17-hermes-agent-self-improving</guid>
      <description><![CDATA[Every few months, a new agent framework ships with "self-improving" stamped on the README. Most of the time, nobody asks the obvious follow-up: self-improving h…]]></description>
      <pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>ai-engineering</category>
      <category>agent-architecture</category>
      <category>hermes-agent</category>
      <category>self-improving-agents</category>
      <category>llm-agents</category>
    </item>
    <item>
      <title><![CDATA[How Three AI Agents Coordinate Without Ever Talking to Each Other]]></title>
      <link>https://www.mohdvasim.com/blog/16-mas-supply-chain-disruption</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/16-mas-supply-chain-disruption</guid>
      <description><![CDATA[Most multi-agent tutorials wire agents together directly — Agent A calls Agent B, which calls Agent C. That works until you need to add a fourth agent, or swap…]]></description>
      <pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>python</category>
      <category>multi-agent</category>
      <category>langchain</category>
      <category>mlflow</category>
      <category>databricks</category>
      <category>redis</category>
      <category>pydantic</category>
    </item>
    <item>
      <title><![CDATA[Missing Data Isn't Just a Nuisance — The Mechanism Determines the Fix]]></title>
      <link>https://www.mohdvasim.com/blog/15-data-imputation-techniques</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/15-data-imputation-techniques</guid>
      <description><![CDATA[A practical guide to data imputation techniques in machine learning — from MCAR/MAR/MNAR mechanisms to SimpleImputer, KNN, MICE, missForest, and GAIN, with an end-to-end scikit-learn walkthrough.]]></description>
      <pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>data-imputation</category>
      <category>missing-data</category>
      <category>scikit-learn</category>
      <category>feature-engineering</category>
      <category>preprocessing</category>
    </item>
    <item>
      <title><![CDATA[Building LLM Fine-Tuning Data Without Hand-Labeling a Single Example]]></title>
      <link>https://www.mohdvasim.com/blog/14-synthesize_from_scratch</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/14-synthesize_from_scratch</guid>
      <description><![CDATA[Fine-tuning a language model on domain knowledge sounds manageable until you estimate the labor involved. A single high-quality instruction-response pair might…]]></description>
      <pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>llm</category>
      <category>fine-tuning</category>
      <category>data-synthesis</category>
      <category>langchain</category>
      <category>python</category>
    </item>
    <item>
      <title><![CDATA[Building a SQL Agent with MLflow Observability]]></title>
      <link>https://www.mohdvasim.com/blog/13-sql-agent-with-mlflow</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/13-sql-agent-with-mlflow</guid>
      <description><![CDATA[SQL Agent with MLflow Observability Architecture SQL Agent with MLflow Observability User Natural language SQL question SQL Agent LangChain + NVIDIA ReAct / Too…]]></description>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>sql</category>
      <category>mlflow</category>
      <category>langchain</category>
      <category>agents</category>
      <category>observability</category>
    </item>
    <item>
      <title><![CDATA[From Raw Text to Reasoning Conversations: Building a Robust Data Pipeline for LLM Fine-Tuning]]></title>
      <link>https://www.mohdvasim.com/blog/12-how-to-synthesize-data-for-llm-training-fine-tuning</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/12-how-to-synthesize-data-for-llm-training-fine-tuning</guid>
      <description><![CDATA[A practical, end‑to‑end guide to building a synthetic data pipeline for LLM fine‑tuning, covering single‑turn and multi‑turn conversation generation, chain‑of‑thought reasoning, and intelligent data creation from raw text using Self‑Instruct, agentic workflows, and NVIDIA NeMo Data Designer.]]></description>
      <pubDate>Sun, 24 May 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>llm-fine-tuning</category>
      <category>synthetic-data</category>
      <category>data-pipeline</category>
      <category>conversational-ai</category>
      <category>alpaca</category>
      <category>self-instruct</category>
      <category>chain-of-thought</category>
      <category>nemo-data-designer</category>
    </item>
    <item>
      <title><![CDATA[Synthesizing Evaluation Data for RAG Systems: A Deep Dive]]></title>
      <link>https://www.mohdvasim.com/blog/11-synthesize_from_scratch</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/11-synthesize_from_scratch</guid>
      <description><![CDATA[The Problem We're Solving Evaluating RAG (Retrieval-Augmented Generation) systems is challenging. You need: - Ground truth Q&A pairs that accurately reflect you…]]></description>
      <pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>RAG</category>
      <category>LLM</category>
      <category>data-synthesis</category>
      <category>evaluation</category>
      <category>langchain</category>
      <category>nvidia-api</category>
    </item>
    <item>
      <title><![CDATA[Data Engineering for Foundation Models: The Alchemist’s Thought]]></title>
      <link>https://www.mohdvasim.com/blog/09-data-curation</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/09-data-curation</guid>
      <description><![CDATA[A human-friendly guide to curating, cleaning, and composing datasets that give large language models their skills and personality—covering data quality, deduplication, annotation, synthesis, and governance, framed as a modern alchemist’s craft.]]></description>
      <pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>data-engineering</category>
      <category>llm</category>
      <category>foundation-models</category>
      <category>dataset-curation</category>
      <category>ai</category>
    </item>
    <item>
      <title><![CDATA[The Tale of Meaningful Vectors: Contrastive Learning for Text Embeddings, Told with Pen and Paper]]></title>
      <link>https://www.mohdvasim.com/blog/10-contrastive-learning-for-text-embedding</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/10-contrastive-learning-for-text-embedding</guid>
      <description><![CDATA[A beginner-friendly, pen-and-paper walkthrough of contrastive learning for text embeddings, from simple averaging encoders and InfoNCE loss to state-of-the-art models like SimCSE and Qwen3 Embedding, revealing how vectors capture meaning and power modern semantic search.]]></description>
      <pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>contrastive-learning</category>
      <category>text-embeddings</category>
      <category>deep-learning</category>
    </item>
    <item>
      <title><![CDATA[Multimodal RAG: Building a Smart Document Assistant - 100% Local]]></title>
      <link>https://www.mohdvasim.com/blog/08-multimodal-rag</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/08-multimodal-rag</guid>
      <description><![CDATA[Welcome to this comprehensive guide on building a multimodal Retrieval-Augmented Generation (RAG) system! In this tutorial, we'll create an AI assistant that ca…]]></description>
      <pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>python</category>
      <category>qdrant</category>
      <category>langgraph</category>
      <category>multimodal</category>
      <category>rag</category>
    </item>
    <item>
      <title><![CDATA[How to evaluate an Agentic AI system for reliability and scalability]]></title>
      <link>https://www.mohdvasim.com/blog/07-how-to-evaluate-agentic-ai</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/07-how-to-evaluate-agentic-ai</guid>
      <description><![CDATA[A practical framework for testing agentic AI beyond unit tests—covering tools, planning, memory, and resilience. Real-world failures, research-backed metrics, and a maturity model to ensure your agent earns user trust.]]></description>
      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>ai</category>
      <category>engineering</category>
      <category>agentic-ai</category>
      <category>evaluation</category>
      <category>llm</category>
    </item>
    <item>
      <title><![CDATA[Understanding Recursion with Python]]></title>
      <link>https://www.mohdvasim.com/blog/06-recursion</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/06-recursion</guid>
      <description><![CDATA[Learn the fundamentals of recursion and how to think recursively in Python]]></description>
      <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>python</category>
      <category>algorithms</category>
      <category>recursion</category>
    </item>
    <item>
      <title><![CDATA[Build Better with AI: Why Design, Evaluation and Real-World Testing Are Your Most Important Skills]]></title>
      <link>https://www.mohdvasim.com/blog/05-design-evaluation-real-world-testing</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/05-design-evaluation-real-world-testing</guid>
      <description><![CDATA[AI is handling the execution. Your edge is knowing how to design what it builds, evaluate what it produces, and validate it in the real world.]]></description>
      <pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>ai</category>
      <category>engineering</category>
      <category>agentic-ai</category>
      <category>skills</category>
    </item>
    <item>
      <title><![CDATA[The Four Trade-offs Every Agent System Forces You to Make]]></title>
      <link>https://www.mohdvasim.com/blog/04-agent-design-tradeoffs</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/04-agent-design-tradeoffs</guid>
      <description><![CDATA[Building AI agents isn't just about picking a model. It's about making deliberate decisions under constraint — and understanding what you're giving up every time.]]></description>
      <pubDate>Sat, 11 Apr 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>AI Engineering</category>
      <category>Agent Systems</category>
      <category>Multi-Agent</category>
      <category>System Design</category>
    </item>
    <item>
      <title><![CDATA[Quantization - Making Giant AI Models Fit in the Real World]]></title>
      <link>https://www.mohdvasim.com/blog/03-quantization-math</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/03-quantization-math</guid>
      <description><![CDATA[Hands-on Quantization by hand and numpy with detailed explanation.]]></description>
      <pubDate>Sat, 28 Mar 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>LLM</category>
      <category>Quantization</category>
      <category>Math</category>
    </item>
    <item>
      <title><![CDATA[Human In The Loop with LangChain and SQL tools]]></title>
      <link>https://www.mohdvasim.com/blog/02-human_in_the_loop-langchain</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/02-human_in_the_loop-langchain</guid>
      <description><![CDATA[Hands-on how human-in-the-loop work behind the scene in long and complex workflows.]]></description>
      <pubDate>Mon, 23 Feb 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>LLM</category>
      <category>LangChain</category>
      <category>HumanInTheLoop</category>
    </item>
    <item>
      <title><![CDATA[🔥 Microservices Interview Questions for AI / ML Engineers]]></title>
      <link>https://www.mohdvasim.com/blog/01-microservices-interview-questions-for-ai--ml-engineers</link>
      <guid isPermaLink="true">https://www.mohdvasim.com/blog/01-microservices-interview-questions-for-ai--ml-engineers</guid>
      <description><![CDATA[A practical deep dive into designing microservices for AI and ML systems, focusing on real-world challenges like latency, scaling, fault tolerance, and system reliability. Written from a distributed systems perspective, not MLOps or model training.]]></description>
      <pubDate>Tue, 03 Feb 2026 00:00:00 GMT</pubDate>
      <author>mohd.vasim.sk@gmail.com (Mohammed Vasim)</author>
      <category>AI</category>
      <category>MLOps</category>
      <category>Microservices</category>
    </item>
  </channel>
</rss>