I build robust, scalable solutions that bridge the gap between complex data and accessible user experiences. Specializing in automation, AI integration, and system architecture.
Projects that demonstrate the progression from simple automation to complex, intelligent systems.
AI-Powered Terminology Normalization for Excel. A reusable architecture for building Excel add-ins with Python backends, tackling database identifier assignment through web research and LLM reasoning.
An n8n workflow that reads Gmail attachments, classifies invoices and receipts with AI, files them into dated Google Drive folders and logs each one to a Sheets ledger — unattended, on one Google login.
For 25 years, ranked-by-popularity search has quietly decided which science you are allowed to find. The rest is still in the literature — unindexed, unreachable. This is the R&D on getting it back.
Short, practical build logs — automating real knowledge-work tasks with n8n, LLMs, and a bit of Python. Watch the systems in motion.
I almost stopped using Google. When I do google, I might as well use Perplexity or AI. What does that mean?
I don't just write code; I engineer systems. My work focuses on creating tools that empower users to handle complex data with ease. From automating mundane administrative tasks to leveraging Large Language Models for semantic understanding, I build software that works.
Python, FastAPI, Node.js, PostgreSQL
React, TypeScript, Tailwind, Office.js
