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Excited to share my latest project: a web application for Pizzeria Beštek! 🍕
This is an AI-powered web app designed for easy ordering of pizzas and other specialties from this great pizzeria.
The application also includes an admin panel where staff can easily manage orders.
Check out the live application here: https://pizzeriabestek.com
A big thank you to the amazing tools that made this possible!
Thank you!
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What if recipe apps felt less like tools and more like companions?
Introducing Sous — a motion-first cooking experience with hands-free mode, contextual meal planning, living interfaces, and immersive food interactions.
Most recipe apps assume users are fully focused on their screens while cooking. In reality, cooking is messy, fast, and hands-busy. So I designed Sous.
Features include:
• Hands-free cooking mode for uninterrupted workflows
• Adaptive meal planning based on available ingredients
• Motion-rich interactions and immersive recipe exploration
• Smart collections and contextual recipe discovery
• A visual system inspired by premium culinary experiences
How Google Stitch helped:
Google Stitch became part of the workflow instead of just another design tool. I used it to rapidly move from rough concepts to interactive interfaces, iterate directly on screens using AI edits, experiment with layouts faster, and refine motion-heavy experiences without rebuilding everything repeatedly.
Stitch made it easier to:
→ Explore multiple interface directions quickly
→ Iterate components in-place with AI feedback loops
→ Build interaction-heavy screens faster
→ Focus more on UX decisions instead of repetitive UI work
→ Prototype a more “alive” interface through motion and interaction experimentation
The goal wasn’t just to design another recipe app — it was to create an interface that feels present while you cook.
✨ Try the prototype → Prototype
Would love feedback on the interactions, motion system, and cooking workflow.
#UIDesign #UXDesign #ProductDesign #AIWorkflow
Rarely impressed this fast but you did it in seconds.
The Editor Behind Every Story
Concept
For this reinterpretation, I imagined CapCut not as a tool, but as a lifelong storyteller—the invisible editor helping us make sense of the moments that shape who we become.
The film follows a young man who discovers a letter written by his 10-year-old self. As he revisits the dreams, expectations, and promises contained in the letter, he realizes that while life did not unfold exactly as planned, every experience, relationship, and memory became part of a story still being written.
CapCut is reimagined as the editor behind every story—quietly helping us preserve, connect, and give meaning to the chapters of our lives.
Creative Process
The visual development began inside CapCut Design Studio, where I explored references and inspiration from the existing asset library to establish the emotional tone and visual language of the film.
Using Design Studio, I generated the key still images for each scene, developing the characters, environments, and cinematic moments that would form the narrative. These images became the visual foundation of the project.
The generated stills were then animated and sequenced in Runway to create motion, allowing the story to unfold through a series of interconnected moments and memories. Throughout the process, the focus remained on creating an emotional journey that reflected the film's central idea: that every life is a story still being edited.
Final Message
Every life is a story still being edited.
You were never writing it alone.
CapCut — The Editor Behind Every Story.
𝐄𝐧𝐭𝐞𝐫𝐚 - 𝐑𝐞𝐬𝐢𝐝𝐞𝐧𝐭𝐢𝐚𝐥 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 (𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐩𝐫𝐨𝐩𝐞𝐫𝐭𝐲 𝐚𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧 𝐚𝐭 𝐬𝐜𝐚𝐥𝐞)
◾ Frontend: React, Next.js, TypeScript, Tailwind CSS, Recharts, Mapbox GL JS
◾ Backend: Python, FastAPI, Node.js, PostgreSQL, Redis, Celery, REST & GraphQL APIs, OpenAI API, custom ML pipelines
◾ Infra: AWS (EC2, RDS, S3, Lambda), Docker, Kubernetes, GitHub Actions CI/CD, Elasticsearch
Entera is a platform built for institutional investors to discover, underwrite, and acquire single-family homes at scale - think hundreds of offers a day across multiple markets. I worked on the AI-driven deal analysis engine that pulls in MLS data, rental comps, and neighborhood signals to surface investment-grade properties ranked by projected yield and risk.
This is something interesting!
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