Builder of AI tools & creative apps
Arvind Rangarajan
AI Product Marketer passionate about building tools that make AI practical and accessible.
I turn ideas into working products — from on-device LLM apps to creative software.
About me
I'm an AI Product Marketer who builds as well as markets — bridging the gap between cutting-edge AI technology and real-world usability. I believe the best way to market AI tools is to deeply understand them by building them.
My current focus is on local, privacy-first AI applications that run entirely on-device. No cloud, no subscriptions — just powerful AI that respects your data.
Find me here:
Projects
Things I've built — real software, shipped and available to use.
Local AI File Organizer
A macOS desktop app that organises your files using on-device AI — everything stays on your machine.
What it does:
Reads the actual content of your files and uses a local LLM (via Ollama) to classify and move them into meaningful category and subcategory folders — automatically. No cloud, no API keys.
Tech stack:
Python · Tkinter · Ollama · PyInstaller · macOS .app bundle. Packaged as a native drag-to-install DMG.
Skills & tools
What I bring to the table — from product thinking to hands-on building.
AI Product Marketing
Positioning, messaging, and go-to-market strategy for AI-powered products.
Local LLM / Ollama
Building privacy-first apps powered by on-device large language models.
Python
End-to-end application development — CLI tools, GUIs, APIs, and automation.
macOS App Development
Packaging Python apps as native .app bundles and DMGs using PyInstaller.
Product Strategy
Translating user needs into product decisions, roadmaps, and launch plans.
Creative Design
UI/UX thinking, design systems, and building polished user interfaces.
Git & Open Source
Version control, semantic versioning, release management, and GitHub workflows.
Content & Writing
Technical writing, product narratives, and long-form content for builders.
Fast Iteration
Shipping working software quickly, then refining based on real feedback.
Publications
Writing on Medium
Thoughts on AI, product building, and the intersection of technology and creativity.
A practical guide to designing and building LLM-powered agents — architecture, patterns, and lessons learned.
Using XGBoost and time series analysis to forecast NBA player performance — a deep dive into sports analytics with ML.
Breaking down Reinforcement Learning from Human Feedback — what it is, how it works, and how to apply it to align generative AI models.
Let's build something together
Interested in collaborating or have a project in mind? I'd love to hear from you.