AI Automation Engineer & Developer building intelligent agents, micro-SaaS tools, and systems for the modern creator & developer.
18,200+ developers use my tools & templates
Chat with my AI assistant — ask about my work, blogs, projects, or automation.
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"Excellent. This guy really knows his stuff. Great mentor."
"Avnish helped us integrate a complex external service. Exceptional knowledge."
"Deep understanding of ML algorithms and feature engineering."
"Avnish is the master of Make automation! Flawless execution."
I build intelligent AI agents & automation systems that eliminate repetitive tasks and transform workflows.
I design, code, and launch small, focused SaaS products built for developers and creators.
I create toolkits, templates, guides, and automation kits that help developers build faster with precision.
I share daily Japanese learning content and automate JLPT workflows using AI.
Turn 1 topic into 12 optimized pieces of content across all platforms automatically using n8n & AI.
A disciplined sprint to build and ship one AI project every single day for 30 days.
Email replier, summarizer, follow-up agent.
Enterprise-ready boilerplates for Next.js, Node.js, and Python in under 60 seconds.
Automated GitHub Action that reviews Pull Requests for bugs, security, and styles.
"Excellent. This guy really knows his stuff. Great mentor."
"Avnish helped us integrate a complex external service. Exceptional knowledge."
"Deep understanding of ML algorithms and feature engineering."
"Avnish is the master of Make automation! Flawless execution."
Building CodeItronics Product #1
Launching new DevHubTools
SaaS Lab
Real-time metrics from my projects and learning.
LLMs have a context limit; your data doesn't. Learn how to implement vector databases in LangChain to enable semantic search and build robust RAG pipelines.
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Stop guessing what your LLM is thinking. Learn how to implement LangChain callbacks to trace execution, log token usage, and debug complex chains like a pro.
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Moving an LLM application from a Jupyter Notebook to a scalable production environment requires more than just wrapping code in Docker. This guide covers architecture, observability, caching, and evaluation strategies for robust LangChain deployments.
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Prompting isn't magic; it's syntax for the probabilistic age. Learn how to structure context, leverage delimiters, and utilize few-shot prompting to turn stochastic LLM responses into reliable, production-grade systems.
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Standard LangChain tools handle the basics, but production agents need to touch internal APIs and proprietary logic. Here is a deep dive into building robust, Pydantic-validated custom tools.
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Moving beyond simple chatbots requires a shift in architecture. Here is how to engineer autonomous agents using ReAct loops, tool usage, and state management to handle complex, multi-step objectives.
Read Article →A weekly newsletter on AI agents, developer tools, micro-SaaS, and systems thinking.
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Motivation is fleeting. I rely on systems.
Transparency creates trust.
If I do it twice, I automate it.
Technology moves fast.
Portfolio Website V2
Japanese Learning App
Newsletter Automation
Live Dashboard
I'm Avnish — an AI Automation Engineer, Salesforce Developer, and creator of CodeItronics & DevHubTools.
When I'm not building tools, I'm learning Japanese, posting daily educational content, and developing my fitness & discipline system.
For collaborations, SaaS ideas, consulting, or speaking opportunities — feel free to reach out.
I'm currently accepting new projects. Whether you have a question or just want to say hi, I'll try my best to get back to you!
