Engineering Blog & Tech Deep Dives

Kashinath Chavan • Interview Prep & Database • Aug 12

SQL for Product Analytics: Funnel Conversion, Drop-off Points & A/B Testing Comparisons

Understanding user funnel drop-off is key to product optimization. Learn how to compute conversion rates at each step, identify where users disappear, and compare A/B test variants with SQL.

⏱️ 3 min read 👁️ 6 views 👏 0 claps

SQL for Product Analytics: Funnel Conversion, Drop-off Points & A/B Testing Comparisons

Kashinath Chavan • Django & Web Architecture • Aug 12

Django REST Framework (DRF) & API Architecture: Complete Beginner Guide

Learn how to architect, serialize, secure, and document scalable RESTful APIs with Django REST Framework, SimpleJWT authentication, and pagination.

⏱️ 1 min read 👁️ 557 views 👏 122 claps

Django REST Framework (DRF) & API Architecture: Complete Beginner Guide

Kashinath Chavan • UI & Design Systems • Aug 12

Engineering High-Converting SaaS Dashboards: Modern Dark Mode, Micro-Interactions & Glassmorphism

Master the principles of elite developer tooling UI: semantic color palettes, subtle glowing borders, interactive code playground ergonomics, and accessible typography.

⏱️ 1 min read 👁️ 349 views 👏 88 claps

Engineering High-Converting SaaS Dashboards: Modern Dark Mode, Micro-Interactions & Glassmorphism

Kashinath Chavan • Developer Tooling & Compilers • Aug 12

Visual Code Debugging: How AST Tracing & Memory Diagrams Help Master Algorithms

Discover how interactive visual debuggers, Abstract Syntax Tree (AST) instrumentation, call stack inspection, and heap memory diagrams accelerate programming mastery.

⏱️ 1 min read 👁️ 631 views 👏 138 claps

Visual Code Debugging: How AST Tracing & Memory Diagrams Help Master Algorithms

Kashinath Chavan • Data Structures & Algorithms • Aug 11

Essential Data Structures in Python: Complexity, Use Cases & Code Patterns

Master the core data structures in Python with time complexity breakdowns (Big-O), memory footprints, and practical coding patterns for technical interviews.

⏱️ 1 min read 👁️ 596 views 👏 130 claps

Essential Data Structures in Python: Complexity, Use Cases & Code Patterns

Kashinath Chavan • Interview Prep & Database • Aug 10

SQL for Supply Chain: Optimizing Inventory Across Multiple Warehouses with Window Functions

Supply chain managers need to balance inventory across warehouses. Learn how to compute total stock, identify imbalances, and recommend transfers with production SQL.

⏱️ 2 min read 👁️ 5 views 👏 0 claps

SQL for Supply Chain: Optimizing Inventory Across Multiple Warehouses with Window Functions

Kashinath Chavan • Career & Git Roadmaps • Aug 10

Git & GitHub Complete Learning Path: Zero to Production Masterclass (2026)

A complete, step-by-step masterclass on Git version control and GitHub collaboration: working tree vs staging area, branching workflows, merge vs rebase, conflict resolution, cherry-pick, stashing, pull requests, and CI/CD pipelines.

⏱️ 9 min read 👁️ 667 views 👏 146 claps

Git & GitHub Complete Learning Path: Zero to Production Masterclass (2026)

Kashinath Chavan • Interview Prep & Database • Aug 09

Mastering SQL for Technical Interviews: Complete Zero-to-Advanced Interview Preparation Handbook (2026)

The definitive SQL technical interview masterclass: query execution order, advanced window functions, recursive CTEs, indexing internals (B-Tree/Hash), ACID isolation levels, query optimization with EXPLAIN ANALYZE, and top 15 solved FAANG interview problems.

⏱️ 14 min read 👁️ 703 views 👏 154 claps

Mastering SQL for Technical Interviews: Complete Zero-to-Advanced Interview Preparation Handbook (2026)

Kashinath Chavan • Interview Prep & Database • Aug 08

SQL for Dating Apps: Finding Matches Within Distance & Filtering by Preferences

Building a scalable matchmaking engine requires efficient distance queries and preference filtering. Learn how to compute Haversine distances, filter by dealbreakers, and rank matches.