· Learning journeys
Roadmaps that actually finish.
Curated, stage-by-stage paths through real systems. Pick where you are. Skip what you know. Build mastery one node at a time.
Flagship journey
Recommendation Systems Journey
A 6-stage path from basic ranking models to real-time serving at scale. Pick a stage and dive in.
· Featured topics
Pick a thread. Follow it deep.
2026
7 postsHow Transformers actually attend
Beyond the textbook diagrams — what a single attention head is really computing, how multi-head splits the world, and why scaling laws keep rewarding bigger context.
AI & ML8 min read· intermediateThe 28-Day LLM + Data Engineering Deep-Prep Playbook
104 hours · 28 deep dives · diagrams, exercises, LeetCode and the calendar template that ships it.
AI & ML82 min read· advancedDesigning a recommendation system from scratch
Retrieval vs ranking, candidate generation, freshness vs relevance — the tradeoffs every real recommender lives by.
RecSys6 min read· intermediateKafka 101 for ML engineers
Topics, partitions, consumer groups — the parts of Kafka that actually matter when you put ML features behind it.
Data5 min read· beginnerOverall Engineering Clarity — Data, Distributed Systems and AI (Deep Dive)
A long-form, primary study companion. Internals, flows, decision trees, code, and Q&A with reasoning across Spark, lakehouse, graphs, search, LLMs, RAG/agents, distributed HLD, governance, modeling, SQL, JVM, Python, K8s and CI/CD.
AI & ML76 min read· advancedData Infrastructure for AI & Experimentation at Scale
A comprehensive deep-dive into the data backbone powering ML, personalization, experimentation, and GenAI on modern streaming platforms
AI & ML33 min read· advancedAutomating audio generation
From text , generate audio files and publishing them to webapp
AI & ML9 min read· intermediate
2025
10 postsDeploying scripts as an API in Azure
Deploying local python scripts and converting them as an API.
Cloud5 min read· beginnerLearning how to build an recommendation system from initial signals
From a few initial adopters of a product, how we can target new set of users who are more likely can use the product
AI & ML6 min read· beginnerBuilding windows app and publishing to app store.
Exploring the fundamentals of building an .exe file from scratch, including C++ compilation, object files, linking, DLLs, and more.
Notes7 min read· intermediateStanford CS229: Machine Learning Course
CS229 provides a broad introduction to statistical machine learning (at an intermediate / advanced level) and covers supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs, practical ); and reinforcement learning among other topics
AI & ML6 min read· beginnerBest LLM Prompt for understanding any concept in-depth
Use this prompt for gathering information all at one place
AI & ML3 min read· beginnerIntroduction to TensorFlow on Google Cloud
Diving deep into a Google Skill boost
AI & ML10 min read· intermediateDiving deep into Tiktok recommendation engine
Going deeper into the video rec repo Monolith and paper produced by Bytedance
AI & ML8 min read· intermediateBasics of Azure AI Foundry
A self-sufficient guide to Azure AI Foundry — what it is, how the hub/project/deployment model works, how to ship a grounded agent end-to-end with SDK + Bicep, and the security/eval/cost levers you cannot skip.
AI & ML10 min read· intermediateReading on MEDICAL ERROR DETECTION AND CORRECTION IN CLINICAL NOTES
This blog explores a paper on detecting and correcting medical errors in clinical notes using Large Language Models (LLMs)
AI & ML8 min read· intermediateApache Airflow - open source orchestration engine
Architecture of Apache Airflow, how DAGs help design complex flows and dependencies, and how we can leverage Apache airflow to train a ML Model and monitor.
AI & ML7 min read· intermediate
2024
13 postsTaking the Azure Fabric Ignite Edition Challenges to Complete
Microsoft Learn Challenge conducting a challenge to get good in few of the challenges which are super useful to complete to gain knowledge on Microsoft Fabric.
Data16 min read· advancedExploring different services in GCP
Exploration and documentation of different services offered in GCP
Data15 min read· intermediateStarting a company in India
Documenting the process of starting a company in india
Notes10 min read· intermediateExploring Azure Data Explorer and Best Practices
A self-sufficient deep-dive on Azure Data Explorer (ADX/Kusto) — architecture, the KQL language from zero to advanced, ingestion patterns, performance/cost levers, and operational best practices.
Data11 min read· intermediateGoogle 5 Day Gen AI course with interactive hands-on practice
Google and Kaggle provided good summary course on Gen AI , the blog contains details and highlights of the course.
AI & ML1 min read· beginnerRAG architecture basics and workings
Retrieval-Augmented Generation from first principles — embeddings, vector databases, chunking, retrieval, prompt construction, evaluation, and common failure modes — enough depth to build one yourself.
AI & ML12 min read· intermediateAI Voice chatting to help with Customer support use-cases
Using current speech augmented LLMs (SpeechLLMs) with realtime voice modality to understand user issues and to provide support and solutions.
AI & ML2 min read· beginnerAudio to Video Generation Using Replit AI and Deploy as an Azure Webapp
Tool to convert an uploaded audio mixed with an image and generate a video format with image and uploaded audio in the video format.
AI & ML1 min read· beginnerDeploying Web Applications in Azure with Docker
A self-sufficient, production-minded walkthrough — from Docker internals to a hardened deploy on Azure App Service / Container Apps.
Cloud11 min read· intermediateOrchestrating ML Pipelines with Azure Data Factory
Leveraging Azure Data Factory for Scalable and Efficient Machine Learning Workflows
AI & ML6 min read· beginnerDeveloping a Astrology webapp version 1.
Initial version 1 of Astro app hosted at astroyuga.com
Cloud3 min read· beginnerImproving the UI of this blogging app - V2
Changing the UI layout and improving the experience by modernizing the UI with custom styling
Notes3 min read· beginnerLeveraging CURSOR and Azure Services for Rapid Web Deployment
Accelerating Development and Deployment Cycles with AI Tools
Cloud5 min read· beginner
· Interactive diagrams
Architectures you can hover and feel.
Living diagrams. Mouse over a block to see what it actually does. No static PNGs.
Transformer block
hover any nodeKafka topology
coming soonProducers → topics → consumer groups, partitioned.
Kubernetes control plane
coming soonAPI server → scheduler → kubelets, reconciliation loops.