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From zero to production, each project represents a journey from idea to impact. Here's how I turn AI concepts into tools people actually use.
Rapid prototyping and validation of AI product concepts
Solutions that solve genuine problems for real users
Scalable, maintainable solutions built for growth
Advanced dermatological analysis system combining MedGemma medical vision AI, Perplexity research, and OpenAI orchestration. Features real-time skin condition detection, evidence-based product recommendations, safety flagging, and comprehensive medical disclaimers for educational use.
Professional-grade YouTube thumbnail generator powered by Google Gemini 2.5 Flash Image. Features dynamic prompt-to-JSON conversion, real-time preview, drag-and-drop uploads, and customizable brand presets for consistent channel styling.
Full-stack LinkedIn posting agent that authenticates users with OAuth 2.0, generates professional post content using OpenAI GPT-4, and publishes directly to LinkedIn. Features dynamic OAuth credentials, AI content generation with reference links, and seamless API integration.
Revolutionary automation platform where users can integrate 200+ apps and build complex workflows just by chatting with AI. No coding required—natural language becomes executable automation.
Advanced computer vision tool that analyzes screenshots and provides intelligent, context-aware responses. Turn any visual information into actionable insights through AI-powered image understanding.
Portfolio of AI-driven websites that transform static content into interactive intelligence hubs. Each site demonstrates different AI capabilities while maintaining excellent user experience.
From idea to impact: how I approach building AI products that solve real problems and create genuine value for users.
Every project starts with identifying a real problem. I spend time understanding user pain points and market gaps before diving into solutions.
Deep dive into technical feasibility, competitive landscape, and user needs. This phase determines the MVP scope and technical approach.
Rapid prototyping and iterative development. I focus on building the core functionality first, then layer on polish and advanced features.
Strategic launch with focus on getting initial users and feedback. The goal is to validate assumptions and identify improvement areas.
Based on user feedback and usage patterns, I iterate and scale the product. This includes feature expansion and performance optimization.
Continuous measurement of user value and business impact. Success is measured by how much the product improves users' workflows.
Every project I work on follows this process, but remains flexible enough to adapt to unique challenges. The goal is always the same: create AI products that feel inevitable rather than impressive—tools so useful that users can't imagine working without them.