Professional Overview
I am a builder who thrives at the intersection of complex systems and human needs.My journey began in Mechanical Engineering, where I learned to appreciate the physics of how things work. That analytical foundation led me to a Master’s in Computer Science at Georgia Tech, where I specialized in solving inefficiencies through code.But I am not just a theorist. I believe in "grit" and boots-on-the-ground experience. I founded, scaled, and operated a successful landscaping business from the ground up. That experience taught me more about workflow bottlenecks, customer psychology, and operational sweat equity than any textbook ever could.What I’m doing now: Currently, I am leveraging my full-stack background (Web, iOS, Android) to build a CRM designed specifically for the "blue-collar" hero. I saw the tech gap in the service industry, and I’m building the bridge to close it.My Core Drivers:Efficiency: If a system is broken, I want to fix it.People: Tech is only as good as the lives it improves. I care deeply about the success of the people around me.Stewardship: I believe in multiplying the talents and resources I’ve been given to serve my community and the industry at large.Whether I’m architecting a full-stack application or optimizing a business workflow, my goal is the same: build something that lasts and helps others win.Let’s connect if you’re interested in systems optimization, mission-driven tech, or the future of the service industry.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
