AI Strategy & Product Development

I am a "builder-first" product leader who stays at the cutting edge of AI by integrating it directly into my development workflow and product strategies. My experience spans the evolution of Natural Language Processing (NLP) to the current frontier of Agentic AI and Computer Vision, always with a focus on solving real-world problems with high-velocity execution.

Generative AI & LLMs (NLP)

I leverage the full ecosystem of Large Language Models to accelerate product discovery and development. I am proficient in prompt engineering and model evaluation across:

  • Gemini, ChatGPT, and Claude: Utilizing these models for automated content generation, complex reasoning, and synthetic user research.

  • GitHub Copilot & Cursor: Integrating AI-assisted coding to maintain a "player-coach" edge, allowing me to build functional prototypes at speeds previously impossible for a solo founder.

  • LLM Implementation: Understanding the nuances of model selection, context window management, and the trade-offs between proprietary and open-source models for enterprise scaling.

Hand holding a phone with ai application icons.
Hand holding a phone with ai application icons.
Computer Vision & Edge AI

My background includes deep involvement in Vision AI, where I have managed products that translate visual data into actionable insights across diverse industries:

  • Object Identification: Developing systems to identify specific objects and anomalies in the medical field (diagnostic assistance), agriculture (crop health and livestock monitoring), and sports (player tracking and performance analytics).

  • Edge AI: Implementing lightweight vision models on Edge devices to ensure low-latency, real-time processing in environments where cloud connectivity is limited or data privacy is paramount.

a computer processor with the letter a on top of it
a computer processor with the letter a on top of it
Multimodal & Agentic AI

I am actively exploring the transition from "Chat" to "Action" through:

  • Multimodal Integration: Building experiences that synthesize text, image, and data inputs to create more intuitive and human-centric interfaces.

  • Agentic AI (OpenClaw): Experimenting with autonomous agent frameworks like OpenClaw to build self-correcting workflows that can navigate complex tasks with minimal human intervention.

A person typing on a laptop on a table
A person typing on a laptop on a table
The "Vibe-Coding" Methodology

My current focus is a family-oriented SaaS application, Family Chores (www.chores.family). This project serves as my primary sandbox for "vibe-coding"—a development philosophy where I use AI as a collaborative partner to:

  • Move from a high-level concept to a functional MVP in weeks, not months.

  • Bridge the gap between Figma designs and production-ready code using AI-prompted logic.

  • Iterate on features in real-time based on user feedback, treating the AI as an infinitely scalable engineering team.

"I don't just manage AI products; I build with them. By staying 'in the weeds' of development, I can better lead teams through the technical and ethical complexities of the AI era."

I'd love to hear from you!

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