About Me
I'm Aidan Zarski, a developer and builder focused on creating AI-powered systems and automation tools. I design and build full-stack software that turns complex processes into simple, automated workflows.
I've built products like Instant Shorts AI, a platform that used AWS Lambda and FFmpeg to generate short-form videos automatically, and Personal Network CRM, a relationship-management tool now used by over 60 customers. I've also developed multiple AI workflows, automation software for e-commerce operations, and research simulations for cancer studies. I enjoy working on complex technical challenges and building tools that are both useful and scalable.
Featured Projects
Instant Shorts AI – AI Text to Short-Form Video
A SaaS platform built to automate short-form content creation using AI for TikTok and Instagram. Fully built on AWS using Lambda for video rendering, API Gateway for endpoints, and EC2 with Elastic Beanstalk for video workflows.
AI EBITDA Calculator
This web app calculates a company's EBITDA directly from the summary page of its tax return. It was built for a commercial bank in Oklahoma after realizing that large language models like ChatGPT often produced incorrect results. Instead of accepting those limitations, I designed a simple workflow that first transcribes and structures the tax return data before passing it to the AI, allowing it to generate accurate calculations every time. This project demonstrates how the limitations of AI can be overcome with thoughtful workflow design and supporting infrastructure.
Personal Network CRM - Nurture Your Network
A comprehensive customer relationship management system designed to help individuals maintain and strengthen their personal and professional networks. Features contact management, interaction tracking, and automated follow-up reminders.
Cancer Research Intern – T-Cell Simulation Software Development
Developed a comprehensive Java-based simulation program to study T-cell migration patterns in cancer research environments. Collaborated with cancer researchers to translate biological processes into computational models.
