
I'm a Technical Lead and Co-Founder who excels at bridging the gap between high-level business strategy and hands-on engineering. I specialize in rapidly prototyping AI-native products (engineering MVPs in as few as 7 days), defining GTM strategy, and managing the full product lifecycle from 0-to-1. It's a technical skill set built on a foundation of elite sales performance, so I'm uniquely focused on driving real revenue outcomes.
An AI-powered, full-stack platform I architected from 0-to-1 to combat misinformation using source-attributed verification.The Problem In an era of rampant misinformation, the public needs a fast, reliable, and transparent way to verify claims.The Solution As co-founder, I architected, built, and deployed the entire application, acting as the sole product manager and engineer. I was responsible for the full lifecycle, from establishing product-market fit to deploying the production infrastructure.Key Features & Architecture:Core Tech: Integrated Google's Gemini AI models with web search grounding to provide accurate, source-attributed verifications, not just a "yes/no" answer.Full-Stack: Architected the application on Next.js and Google Cloud Platform (GCP), using Vertex AI for AI models and Firebase for the serverless backend.Product Design: Designed and implemented all key product features, including OCR image analysis, a tiered subscription model, and user authentication.Infrastructure: Deployed and managed the production system on Firebase, including Cloud Functions, security rules, and a scalable data architecture.
A generative AI co-host I engineered in 7 days to participate in live, real-time conversations, showcasing our "AI for Humanity" mission.The Problem As a lean, two-person startup, we needed a scalable way to produce our educational AI podcast. We didn't have the time or resources for a large production team, but we wanted to demonstrate our own AI capabilities.The Solution I designed, engineered, and deployed "Graice," a fully autonomous AI podcast co-host. The system listens to the live conversation, reasons in real-time, and speaks back with a human-like voice, all controlled by custom-built logic.Key Features & Architecture:Real-Time, Local-First Pipeline: I engineered a modular, production-ready pipeline in Python (pyaudio, whisper, openai, regex) that ran entirely locally, requiring no cloud hosting. It was fully compatible with OBS and Audacity.Intelligent & Contextual Reasoning: The AI's "brain" used GPT-4 with custom-engineered prompt flows and tone-control logic. This allowed Graice to be humorous, factual, or corrective based on contextual cues.Natural Conversational UX: I architected voice activation and moderation rules to mimic natural human podcast dynamics. It integrated ElevenLabs for voice synthesis, playing its responses directly into a TrueMix 600 professional soundboard.
The Problem:A high-profile client (MD/IFBB Pro) was losing significant revenue. His sales agent (costing 10% of revenue) was missing leads, and the marketing agency that took over was overwhelmed by 1000s of DMs.The Solution:I architected and deployed an end-to-end, autonomous AI sales agent to replace the costly sales role and manage all inbound Instagram leads. The system used a custom RAG (Retrieval-Augmented Generation) engine, built on 700+ pages of the client's private data, to handle complex sales conversations 24/7.The Initial Result The AI agent was an immediate success. In its first 3 weeks of production, it converted 40% more profits than the previous sales process and reduced the manual DM workload by 90%.The Critical Finding & Strategic Decision:After proving the bot's financial value, I conducted a critical liability and risk assessment. I determined that the high-risk nature of the client's business (coaching on anabolics, giving medical advice) created an unacceptable legal exposure for both the client and my company.Based on my findings, I advised the client to halt the live deployment. This strategic decision protected the client from significant legal liability and demonstrated a mature, "health-of-the-business first" leadership approach.Tech Stack: n8n, ManyChat, GPT-4, RAG, Instagram API
I'm passionate about building new products and solving complex problems. If you have a challenge or an opportunity you'd like to discuss, let's connect.