Hi, I'm Krunal Kanojiya
Technical Content Writer based in Ahmedabad, India specialising in Blockchain, AI/ML and Software Development.
I turn complex technical concepts into articles developers actually want to read. Web3 deep dives, AI explainers, engineering case studies, developer documentation. Writing for global tech audiences since 2021.
About Me
The person behind the words
I'm a Technical Content Writer from India with a developer's background. I started as a full-stack developer in 2021, which means I understand the code before I write about it.
My specialisation is blockchain and Web3 technical writing. Smart contracts, DeFi protocols, consensus mechanisms, and Layer 2 scaling. The topics most writers skip because they're hard to get right. I also write deeply researched articles on AI/ML, data engineering, and cloud infrastructure for global tech audiences.
Good technical writing does more than explain a concept. It teaches the reader how to think about it. Whether it's a blockchain deep dive, an AI explainer, or a product case study, every piece I write is built to respect the reader's time and intelligence.
Skills & Expertise
What I Do
Services I offer
Blockchain deep dives, AI explainers, case studies, and technical tutorials. Written for developers and the companies that build for them.
Blockchain & Web3 Articles
Deep-dive technical articles on smart contracts, DeFi, Layer 2 scaling, NFTs, consensus mechanisms, and emerging blockchain protocols.
AI & Machine Learning Content
Accessible yet rigorous articles on AI/ML concepts, model architectures, data pipelines, Databricks, Azure ML, and the latest in generative AI.
Technical Tutorials
Step-by-step guides with working code that teach developers how to build, configure, and ship software. Written by someone who has actually built it.
Case Studies & Services Pages
Conversion-focused case studies and services pages that communicate technical depth while speaking directly to decision-makers and buyers.
Developer Blog Posts
In-depth engineering articles on software architecture, developer tooling, and best practices. The kind readers bookmark and share on X.
SEO-Optimised Tech Content
Technical content built for both developers and search engines. Targeting high-intent queries, building topical authority, and driving organic traffic that converts.
Experience
Where I've worked
Technical Content Writer
CurrentLucent Innovation
Writing technology blog posts, product case studies, and services pages for Lucent Innovation. Covering AI, software development, cloud, and emerging technologies to support both SEO and brand authority.
Blockchain Technical Content Writer
Cromtek Solution Pvt Ltd
Specialised technical content writer focused exclusively on the blockchain domain. Produced in-depth articles on DeFi, smart contracts, Layer 2 protocols, NFTs, and Web3 development for a global developer audience.
Developer & Technical Content Writer
Freelance
Started as a full-stack developer and gradually transitioned into technical writing. Worked with global tech clients building web applications and writing tutorials, guides, and developer content across software development topics.
Testimonials
What clients say
Feedback from teams I've worked with on blockchain, AI/ML, and software development content.
“Krunal delivered a 12-part blockchain deep-dive series that became our highest-traffic content. He understands the tech at a level most writers simply don't — smart contracts, DeFi mechanics, Layer 2 trade-offs. Our developer audience loved it.”
Arjun Mehta
CTO, ChainVerse Labs
“We needed someone who could write about ML pipelines and data engineering without dumbing it down. Krunal nailed it. His articles on Databricks and Azure ML drove 3x more organic traffic than our previous content. He's now our go-to writer for anything technical.”
Sarah Chen
Head of Content, DataStack AI
“Krunal wrote our entire developer documentation and a series of technical tutorials. The quality was exceptional — clear code examples, proper structure, and he actually tested everything he wrote. Turnaround was fast and communication was seamless.”
Rahul Sharma
Founder, DevToolkit
“Finding a writer who can explain Web3 concepts to both developers and business stakeholders is rare. Krunal did exactly that for our case studies and services pages. The content directly contributed to closing two enterprise deals.”
Emily Rodriguez
Marketing Director, NexGen Protocol
“We hired Krunal for a technical blog strategy — 4 posts per month covering cloud infrastructure and DevOps. Every article was well-researched, SEO-optimised, and genuinely useful. Our blog traffic grew 180% in 6 months.”
Vikram Patel
VP of Engineering, CloudFirst Solutions
From the Blog
Latest writing
Tech deep dives, tutorials, and beyond.
Evaluation, Inference, and Deployment: Shipping an LLM Product That Actually Works
Building a model is one thing. Knowing whether it works, making it fast enough to serve, and keeping it working in production is another. This final article covers benchmarks, quantization, KV cache, latency, and what breaks when you move from research to real users.
Prompting, RAG, and In-Context Learning: Using LLMs in Real Products
Knowing how to build a transformer is one thing. Knowing how to use one in production is another. This article covers prompt engineering, few-shot learning, chain-of-thought, retrieval-augmented generation, and why the model's behavior shifts so dramatically based on how you frame your request.
Fine-tuning and RLHF: How a Pre-trained Model Becomes a Useful Assistant
Pre-training gives a model language. Fine-tuning and RLHF give it behavior. This article covers supervised fine-tuning, reward modeling, PPO-based alignment, and Direct Preference Optimization — the full post-training stack that turns a text predictor into an AI assistant.
Pre-training and Language Modeling: How a Transformer Learns to Predict Text
The transformer architecture from Article 6 starts as a random function. Pre-training is what turns it into a language model. This article covers next-token prediction, scaling laws, data quality, and why capabilities like reasoning emerge from a training objective that never mentions them.
Why AI Detectors Are Not Working Properly: Evidence, Technical Reasons and Real-World Cases
AI text detectors are widely used but often unreliable. This research-backed guide explains why AI detection fails, the technical reasons behind it, and real-world cases where false accusations caused harm.
Data Lake vs Data Warehouse vs Databricks Lakehouse (With Simple Diagrams)
What is the actual difference between a data lake, a data warehouse, and the Databricks Lakehouse? This article breaks down all three with plain language and simple diagrams so you understand exactly where each fits and why the Lakehouse exists.
Let's work together
Got a technical writing project, documentation need, or blog content strategy? I'd love to hear about it. Just send me an email. No forms, no fuss.
Send me an emailimkrunalkanojiya@outlook.comI typically respond within 24 hours · No contact form required