Understand vector embeddings, similarity search, and vector databases. Build semantic search, recommendation systems, and RAG pipelines using pgvector, Pinecone, and OpenAI embeddings.

AI Infrastructure Mastery

Vector Embeddings: The Foundation of Modern AI Applications

Master the full RAG pipeline for production. Learn about Hybrid Search, Metadata Filtering, and Re-ranking to build AI systems that are both accurate and fast.

Advanced RAG Architecture: Beyond Simple Vector Search

Decide when fine-tuning beats prompt engineering, how to prepare training data, run LoRA fine-tuning efficiently, and evaluate model quality. Covers OpenAI fine-tuning and open-source with Hugging Face.

Fine-Tuning LLMs: When to Fine-Tune, When to Prompt

Production LLM serving: how quantization (GGUF, GPTQ, AWQ) cuts memory by 4x, KV cache memory math, continuous batching in vLLM, TensorRT-LLM for NVIDIA GPUs, and the throughput vs latency trade-offs that determine your serving architecture.

LLM Inference Optimization: Quantization, KV Cache, and High-Throughput Serving

A practical guide to running AI inference on Kubernetes: GPU scheduling, node pools, taints and tolerations, model servers, queue-based autoscaling with KEDA, admission controls, observability, and cost guardrails.

Kubernetes for AI Inference: GPUs, Autoscaling, Queues, and Cost Control

Production AI/ML infrastructure on AWS: SageMaker real-time vs async inference endpoints, EKS GPU scheduling with nvidia device plugin, EC2 GPU instance selection (p4, g5, inf2 Inferentia), Spot instances for training workloads, and the architecture decisions that keep GPU bills under control.

AI Infrastructure on AWS: SageMaker, EKS GPU Scheduling, and Cost-Efficient Inference

How to evaluate LLM systems in production: LLM-as-judge patterns with bias mitigation, RAGAS metrics for RAG pipelines (faithfulness, context recall, answer relevancy), BERTScore vs ROUGE trade-offs, building regression test suites for prompts, and the statistical rigor needed to trust eval results.

LLM Evaluation at Scale: LLM-as-Judge, RAGAS, and Building Automated Eval Pipelines

A production guide to LLM observability: OpenTelemetry traces, token and cost metrics, RAG retrieval spans, eval results, safety signals, prompt/version tracking, dashboards, alerts, and redaction patterns.

LLM Observability in Production: Traces, Evals, Cost, Latency, and Failure Modes

Design a practical feature store for production ML systems: offline and online features, point-in-time correctness, streaming updates, Redis/DynamoDB serving, monitoring, and training-serving skew.

System Design: Building a Feature Store for Real-Time Machine Learning

A practical backend engineering guide to the Model Context Protocol: host-client-server architecture, tools vs resources vs prompts, JSON-RPC flows, authorization, audit logs, rate limits, idempotency, and production guardrails for AI agents.

MCP for Backend Engineers: Tools, Agents, and Production Guardrails

Stop blindly choosing Pinecone. Learn the technical trade-offs between managed, open-source, and hybrid vector databases for production-grade RAG systems.

AI Masterclass: Vector Database Selection (Pinecone vs. Milvus vs. Weaviate)

Master the economics of LLMs. Learn how to minimize costs and maximize reasoning quality using Context Caching, Prompt Compression, and Surgical Data Injection.

AI Token Usage: The Staff Engineer Guide to Context Optimization

Build production AI agents using Claude's tool use API. Learn the agentic loop, error handling, multi-step reasoning, human-in-the-loop patterns, and how to build reliable autonomous systems.

Building AI Agents with Tool Use: From Chatbot to Autonomous Agent

Go beyond basic prompting. Learn chain-of-thought reasoning, few-shot examples, structured output, self-consistency, ReAct agents, and evaluation techniques for production LLM applications.

Prompt Engineering: Advanced Techniques for Production LLMs

A practical guide to building a Retrieval-Augmented Generation system — from chunking strategies and embedding models to vector databases, retrieval optimization, and avoiding hallucinations.

Building a Production RAG System: Embeddings, Vector DBs, and Retrieval

Extensive deep dive into Java is Strictly Pass-by-Value. Internal workings, real-world examples, and interview insights for Java Mastery.

Complete Java Mastery Roadmap

Java is Strictly Pass-by-Value

Extensive deep dive into Advanced Exception Handling. Internal workings, real-world examples, and interview insights for Java Mastery.

Advanced Exception Handling

Extensive deep dive into Generics and Type Erasure. Internal workings, real-world examples, and interview insights for Java Mastery.

Generics and Type Erasure

Extensive deep dive into The ClassLoader Subsystem. Internal workings, real-world examples, and interview insights for Java Mastery.

The ClassLoader Subsystem

Extensive deep dive into Advanced Locking: ReentrantLock and StampedLock. Internal workings, real-world examples, and interview insights for Java Mastery.

Advanced Locking: ReentrantLock and StampedLock

Extensive deep dive into The Volatile Keyword and the JMM. Internal workings, real-world examples, and interview insights for Java Mastery.

The Volatile Keyword and the JMM

Extensive deep dive into Mastering Optional: Null Safety. Internal workings, real-world examples, and interview insights for Java Mastery.

Mastering Optional: Null Safety

Extensive deep dive into Asynchronous Java: CompletableFuture. Internal workings, real-world examples, and interview insights for Java Mastery.

Asynchronous Java: CompletableFuture

Extensive deep dive into The equals() and hashCode() Contract. Internal workings, real-world examples, and interview insights for Java Mastery.

The equals() and hashCode() Contract

Extensive deep dive into Designing Truly Immutable Classes. Internal workings, real-world examples, and interview insights for Java Mastery.

Designing Truly Immutable Classes

Extensive deep dive into Mini Project: In-Memory Key-Value Store (Redis Clone). Internal workings, real-world examples, and interview insights for Java Mastery.

Mini Project: In-Memory Key-Value Store (Redis Clone)

Master Primitives, Wrappers, and Autoboxing from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Primitives, Wrappers, and Autoboxing

Master Control Flow and Branch Prediction from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Control Flow and Branch Prediction

Master Arrays and CPU Cache Locality from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Arrays and CPU Cache Locality

Master Encapsulation and Access Modifiers from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Encapsulation and Access Modifiers

Master Polymorphism: Overloading vs Overriding from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Polymorphism: Overloading vs Overriding

Master Interfaces vs Abstract Classes from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Interfaces vs Abstract Classes

Master ArrayList vs LinkedList Internals from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

ArrayList vs LinkedList Internals

Master HashMap Internals: Hashing, Collisions, and Treeification from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

HashMap Internals: Hashing, Collisions, and Treeification

Master Lambda Expressions and Functional Interfaces from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Lambda Expressions and Functional Interfaces

Master Mini Project: Multithreaded Task Executor from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Mini Project: Multithreaded Task Executor

Master Mini Project: Token Bucket Rate Limiter from zero to expert. Deep dive into internals, memory management, and production-grade implementation.

Mini Project: Token Bucket Rate Limiter

Master MySQL from scratch. Learn the fundamentals of the relational model, data types, and setting up your first production schema.

Complete MySQL Mastery Roadmap

MySQL Mastery: Relational Fundamentals and Setup

Learn how to combine and aggregate data across multiple tables using INNER JOIN, LEFT JOIN, GROUP BY, and HAVING.

MySQL Mastery: Joins and Aggregations

Deep dive into MySQL Indexing. Understand B-Trees, Clustered vs Non-Clustered indexes, and how to read the EXPLAIN plan.

MySQL Mastery: Indexing and Performance

Understand how MySQL guarantees data integrity. Dive deep into ACID, Isolation Levels, and locking mechanisms like Row-Level vs Table-Level locks.

MySQL Mastery: Transactions and ACID Properties

Master advanced SQL analytics. Learn how to use Window Functions like ROW_NUMBER, RANK, and DENSE_RANK without collapsing your rows.

MySQL Mastery: Window Functions and Advanced Analytics

Master MySQL performance at scale. Learn how to optimize complex subqueries, use CTEs, avoid temporary tables, and index for pagination.

MySQL Mastery: Advanced Query Optimization

Deep dive into MySQLs InnoDB storage engine. Learn about the Buffer Pool, Write-Ahead Log (WAL), Redo/Undo logs, and Page Structures.

MySQL Mastery: InnoDB Architecture and Storage Engines

Ensure Five Nines (99.999%) uptime. Master MySQL Replication, the Binary Log (Binlog), Semi-Synchronous replication, and Failover strategies.

MySQL Mastery: Replication and High Availability

When vertical scaling fails. Learn Horizontal Partitioning, Shard Key selection, Consistent Hashing, and the Scatter-Gather pattern.

MySQL Mastery: Sharding and Horizontal Scaling

Lock down your database. Master Role-Based Access Control, at-rest encryption, network security, and Disaster Recovery via PITR.

MySQL Mastery: Security and Operations

Extensive deep dive into Mastering OOP: Inheritance and Polymorphism. Internal workings, real-world examples, and interview insights.

Mastering OOP: Inheritance and Polymorphism

Extensive deep dive into Deep Dive: The Collections Framework. Internal workings, real-world examples, and interview insights.

Deep Dive: The Collections Framework

Extensive deep dive into Modern Java: Streams and Lambdas. Internal workings, real-world examples, and interview insights.

Modern Java: Streams and Lambdas

Extensive deep dive into Architectural Patterns: Singleton to Strategy. Internal workings, real-world examples, and interview insights.

Architectural Patterns: Singleton to Strategy

Extensive deep dive into The Staff Engineer Interview Playbook. Internal workings, real-world examples, and interview insights.

The Staff Engineer Interview Playbook

Master Git Architecture & Fundamentals for professional team collaboration. Deep dive into architecture and production workflows.

Git & GitHub Mastery Course

Git Architecture & Fundamentals

Master Mastering Branching & Merging for professional team collaboration. Deep dive into architecture and production workflows.

Mastering Branching & Merging

Master GitHub & Remote Collaboration for professional team collaboration. Deep dive into architecture and production workflows.

GitHub & Remote Collaboration

Master Professional Collaboration Workflows for professional team collaboration. Deep dive into architecture and production workflows.

Professional Collaboration Workflows

Master Advanced Git: Rebase, Stash & Hooks for professional team collaboration. Deep dive into architecture and production workflows.

Advanced Git: Rebase, Stash & Hooks

Master Debugging History & Recovering Commits for professional team collaboration. Deep dive into architecture and production workflows.

Debugging History & Recovering Commits

Deep dive into Introduction to Java. Internal workings, real-world examples, and interview insights.

Introduction to Java

Deep dive into JVM, JDK, JRE (Deep Explanation). Internal workings, real-world examples, and interview insights.

JVM, JDK, JRE (Deep Explanation)

Deep dive into Strings (Immutability & String Pool). Internal workings, real-world examples, and interview insights.

Strings (Immutability & String Pool)

Deep dive into Memory Management (Heap, Stack, Metaspace). Internal workings, real-world examples, and interview insights.

Memory Management (Heap, Stack, Metaspace)

Deep dive into Garbage Collection (G1, CMS, ZGC). Internal workings, real-world examples, and interview insights.

Garbage Collection (G1, CMS, ZGC)

Deep dive into Multithreading & Concurrency Mastery. Internal workings, real-world examples, and interview insights.

Multithreading & Concurrency Mastery

Deep dive into Writing Production-Grade Java. Internal workings, real-world examples, and interview insights.

Writing Production-Grade Java

Deep dive into Mini Project: LRU Cache. Internal workings, real-world examples, and interview insights.

Mini Project: LRU Cache

Master the Factory pattern for Low-Level Design. Learn how to decouple object creation from usage, enabling scalable and testable Java architectures.

HLD & LLD Mastery Course

LLD Mastery: The Factory Design Pattern

Master the Singleton pattern for Low-Level Design. Learn how to implement thread-safe instances using Double-Checked Locking and Bill Pugh paradigms.

LLD Mastery: The Singleton Design Pattern

Master the Strategy pattern for Low-Level Design. Learn how to eliminate massive if-else blocks by decoupling algorithms from their context.

LLD Mastery: The Strategy Design Pattern

Master the bridge between High-Level Design and Low-Level Design. Learn how to map microservices to class hierarchies and APIs to method signatures.

How HLD Translates to LLD

Introduction to High-Level Design deep dive for HLD & LLD interview preparation.

Introduction to High-Level Design

Master the LLD of an Elevator System. Learn state machine design, request scheduling algorithms (SCAN), and solid OOP class structures.

Case Study: Design an Elevator System

Master the LLD of a board game. Learn how to optimize win-condition checks to O(1) and handle N x N scalable grids in Java.

Case Study: Design Tic Tac Toe

Conquer dynamic programming interviews by mastering the 0/1 Knapsack pattern. Learn the transition from recursive brute force to top-down memoization, bottom-up tabulation, and space optimization.

DSA Interview Mastery

Dynamic Programming in Java: Demystifying the 0/1 Knapsack Pattern

Never get lost in a recursion tree again. Master the three-step Backtracking  template used for combinations, permutations, and grid searches.

Pattern Blueprint: The Backtracking Master Template

Learn how to solve "Next Greater Element" and "Largest Area" problems in  linear time using a Monotonic Stack blueprint.

Pattern Blueprint: The Monotonic Stack Template

Never struggle with sliding window boundaries again. Use this battle-tested  Java template for all fixed and variable window problems.

Pattern Blueprint: The Universal Sliding Window Template

Learn the three distinct Two Pointer strategies: Opposite Ends, Fast & Slow,  and Multiple Inputs. Perfect for array and linked list optimization.

Pattern Blueprint: The Two Pointers Master Template

Learn the three-phase mental model for working with autonomous AI agents.  Master the art of surgical refactoring and complex bug fixing for Staff engineers.

Claude Code Mastery

Claude Code Lesson 2: The Research -> Strategy -> Execution Cycle

Go beyond simple chat. Learn how to leverage Claude Code, the agentic CLI tool,  to refactor entire codebases, fix complex bugs, and automate technical debt removal.

Claude Code Masterclass: The Future of Agentic CLI Development

Learn how to use agentic CLI tools without compromising your secrets.  Master the art of masking credentials and enforcing system integrity for Staff engineers.

Claude Code Lesson 4: Security & Safety Guardrails

Learn how to optimize Claude Code for your specific project. Master the usage  of .claudeignore, .cursorrules, and surgical context management for Staff engineers.

Claude Code Lesson 1: Setting Up for Success (Context & Rules)

Go under the hood of the agent's surgical toolbox. Learn how to use grep_search  for symbol mapping and how to avoid the "Ambiguous String" error in the replace tool.

Claude Code Lesson 3: Advanced Tool Mastery (Grep, Replace, Shell)

DSA Masterclass: Dijkstra’s vs. Bellman-Ford (Shortest Path Algorithms)

A hand-picked list of 10 essential LeetCode problems to master Binary Search variations.

Binary Search: Curated Practice Problems

Learn how to search in logarithmic time. Master standard binary search,  rotated arrays, and the powerful "Search on Answer" technique.

DSA Masterclass Module 12: Binary Search Patterns

Master the laws of distributed systems. Learn how to navigate the trade-offs between Consistency, Availability, and Partition Tolerance.

System Design Interview Mastery

System Design Module 8: CAP Theorem & Consistency Models

Test your algorithmic analysis skills with 8 hand-picked complexity challenges.

DSA Complexity: Curated Practice Problems

Master the most critical decision in system design. Learn the technical trade-offs  between relational databases and various NoSQL models.

System Design Module 6: Database Design (SQL vs NoSQL)

A hand-picked list of 10 essential LeetCode problems to master Memoization and Tabulation.

Dynamic Programming: Curated Practice Problems

Master the most feared interview topic. Learn the "Five Steps to DP", Memory Compression (O(1) space), and Staff-level intuition for state transitions.

The Dynamic Programming Masterclass: Tabulation, Memoization, and State

A hand-picked list of 10 essential LeetCode problems to master BFS, DFS, and Topological Sort.

Graphs: Curated Practice Problems

Master the logic of Graphs. Learn how to choose between Adjacency Lists and Matrices, cycle detection algorithms, and Staff-level intuition for global-scale networks.

The Graph Mastery Blueprint: BFS, DFS, and Representation

Learn how to solve optimization problems using the Greedy approach. Master  interval scheduling, Huffman coding, and how to prove that a local optimum leads to a global one.

DSA Masterclass Module 11: Greedy Algorithms

A hand-picked list of 10 essential LeetCode problems to master the Greedy approach.

Greedy Algorithms: Curated Practice Problems

A hand-picked list of 10 essential LeetCode problems to master Priority Queues and partial sorting.

Heaps: Curated Practice Problems

Learn how to manage top elements and streaming data using Heaps. Master  Min-Heaps, Max-Heaps, Top K problems, and how to track the median of a data stream.

Earn Your Completion Certificates