Every project here started with a business problem, not a technology choice. These examples show how I've used automation, custom software, and emerging technologies to reduce manual work, improve consistency, and help teams move faster.
A content agency was using Temi plus a manual review layer to transcribe interviews. The process was slow, expensive, and error-prone. That was just one step in a larger content pipeline that also included ideation and client follow-ups. Each step was manual, fragmented, and time-consuming, with delays at hand-off points between contractors.
I built an internal web app that handles the complete interview-to-ideation pipeline. Features transcript cleaning, automated ideation workflows, follow-up email generation, user management, and admin controls with audit logging. Deployed on cloud infrastructure with enterprise-grade security.
80%+ reduction in transcript processing time, 3 days removed from 8-day project turnaround time, and a monthly savings of $2,500. The platform continues to expand to cover more of the content production pipeline.
A company's internal prototype for managing freelancer availability was built on an unsecured platform with limited customization options, creating security risks and a ceiling on future development.
I migrated the tool to production infrastructure, restructureed the codebase for maintainability, implemented Google OAuth authentication, and added new features to enhance useability.
The company now has a secure, scalable freelancer management tool, built on real infrastructure, that they can continue to customize as their needs evolve.
An agency producing AI-generated case studies was struggling with instructions that weren't being followed by AI and a manual templating process that introduced errors. Each case study required significant review to catch the same recurring issues.
I designed a structured, multi-phase AI pipeline that separates content generation from template execution. AI drafts the structured output, a Python script handles template population across 28 sections, and an automated audit script enforces client-specific style rules.
Content drafting and templating time went from 2.5 hours to 15 minutes, with style violations caught and corrected automatically, freeing editors for higher-value editorial work that requires human judgement.