Developer Tutorials · Technical Guides · India
Practical
guides for
developers.
Research-backed tutorials on AI engineering, data, programming, algorithms, and modern software development. Written by a former software developer.
Publication topics
By the numbers
150+
Articles published
2+
Years of writing
10+
Topic domains
2
Companies
Currently
Technical Content Writer
Lucent Innovation
Previously
Blockchain Writer
Cromtek Solution · 2024–2025
Freelance Dev & Writer
Self-employed · 2021–2024
Published on
What I Write About
All articlesVector Search & Databases
Deep dives into how vector databases work. Covers indexing structures like HNSW and IVF, approximate nearest neighbor search, product quantization, similarity metrics, and fast semantic retrieval at scale.
LLMs & Deep Learning
How large language models actually work. Covers transformer architecture, attention, pre-training, fine-tuning, RLHF, inference optimization, KV caching, and the deep learning basics that power modern AI systems.
RAG
Everything about retrieval-augmented generation. Covers RAG architecture, production pipelines, chunking, reranking, evaluation, failure modes, and how RAG compares to fine-tuning and traditional search.
AI Engineering & Trends
The practical side of building with AI. Covers agent frameworks, the Model Context Protocol, emerging standards, AI detection, physical AI, and engineering topics that shape how real products get built.
ML Foundations
The core concepts every ML practitioner needs. Covers linear algebra, calculus, probability, statistics, what vectors and embeddings really are, and the structure of the latent spaces that models learn.
Data Engineering
Modern data engineering and platforms. Covers Databricks and the lakehouse architecture, Delta Lake, data lakes vs warehouses, and comparisons like Databricks vs Snowflake for teams building data infrastructure.
Sorting Algorithms
Practical sorting algorithm tutorials for developers. Learn how each algorithm works through traced examples, pseudocode, complexity and stability analysis, common mistakes, and tested implementations in Rust and Go
Latest Writing
View allAre AI Detectors Accurate? The Numbers and the Reasons They Fail
AI detectors promise to catch AI-written text. This research-backed guide breaks down real detection rates, false positive rates, the technical reasons detection fails, tool comparisons, and real cases where false accusations caused harm.
Insertion Sort Algorithm: Complete Guide with Rust and Go
Learn insertion sort with a complete dry run, correctness and complexity analysis, shifting and binary-search variants, and tested Rust and Go implementations.
Quick Sort Algorithm: Complete Guide with Rust and Go
Jul 24, 2026Sorting AlgorithmsMerge Sort Algorithm: Complete Guide with Rust and Go
Jul 24, 2026Sorting AlgorithmsBubble Sort Algorithm: Complete Guide with Rust and Go
Jul 21, 2026Sorting AlgorithmsSelection Sort Algorithm: Step-by-Step Guide with Rust and Go
Jul 21, 2026Frequently Asked Questions
Who is Krunal Kanojiya?
Krunal Kanojiya is a technical writer and former software developer from Ahmedabad, India. He has worked in technology since 2021 and has published more than 150 articles. He writes practical tutorials and technical guides for developers and currently works at Lucent Innovation.
What does Krunal Kanojiya write about?
Krunal writes about AI engineering, RAG, vector search, data engineering, programming, data structures and algorithms, blockchain, developer tools, and software development. The publication is expanding with structured tutorial series for developers.
Where does Krunal Kanojiya work?
Krunal works as a technical content writer at Lucent Innovation (January 2026 to now). Before that he wrote about blockchain at Cromtek Solution Pvt Ltd (June 2024 to December 2025). From 2021 to 2024 he worked as a freelance developer and writer.
How can I hire Krunal Kanojiya for technical writing?
You can email Krunal at imkrunalkanojiya@outlook.com. He takes on freelance work for technical articles, developer docs, blog content, and case studies. He replies within 24 hours on business days.
Open to work
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