SellerGuy Founder
I'm building SellerGuy, an AI agent that operates Amazon businesses. It works inside a seller's account across listings, advertising and inventory, and brings every change to the seller for approval.
I build AI applications and deploy them in the real world
I'm building SellerGuy, an AI agent that operates Amazon businesses. It works inside a seller's account across listings, advertising and inventory, and brings every change to the seller for approval.
After returning to London, I met Alex Smirnov through Entrepreneur First. We started a company in July 2024, built and shut down three projects, and then worked on AI education. I closed the company in February 2026 to build SellerGuy. The three projects:
Inspired by Stanford's generative agents research and the conversational capabilities of Character.ai, we created an interactive world where AI-powered characters live out their daily lives. These characters can perform various actions (voting, conversing, giving speeches) in pursuit of their goals. Users can immerse themselves in scenarios like the Harry Potter universe or simulate the 2024 election with characters including Kamala Harris, Donald Trump, and Pennsylvania voters.
Demo → Code →We developed an AI system that analyzes satellite imagery using natural language queries. Our San Francisco demo lets users ask questions like "find all rooftop solar panels" or "which district have the highest number of Tesla vehicles" and get precise visual results.
Explorer → Code →While humanoid robots remain years away from being safe and affordable companions, we adapted a Unitree robotic dog to assist with household tasks like collecting dishes and handling laundry.
See Laika in action → Code →After X, I continued working in the food supply chain sector. Recognizing the slow adoption of technology among growers, I initiated change from the consumer side by launching Buzzarek.com in my hometown of Poznan, Poland.
The business grew to serve over 200 weekly customers through an app and WhatsApp Business account, with more than 40 fresh produce suppliers. After six months, I closed Buzzarek and returned to AI.
Following my graduation from Imperial College London, I joined Google X as an ML resident. I quickly proposed and led an AI in Agriculture project, building a team of 10 to deploy AI models across farms in the US.
We leveraged large-scale geospatial data (weather and satellite) with predictive models for pest detection and disease prevention in crops. Our algorithms achieved an 80% improvement over state-of-the-art predictions for almond pests. Through a partnership with Astanor Ventures, we deployed these models across corporate farms throughout the US.
Addressing worldwide pollination capacity decline, I led a project developing AI to monitor and enhance pollination efficiency. We partnered with The Wonderful Company in Southern California, focusing on honeybees. Though we later pivoted to other agricultural challenges, this work developed my understanding of the US agricultural sector and helped me build a network of contacts in the industry.
Leveraging my master's thesis in AI and environmental science, I worked on applying AI to quantify natural disaster risks.
I completed my MEng in Computing with a focus on AI. During my studies, I gained practical experience through fintech internships in London and freelance mobile/web development projects.