Fast Learner
Designed a complete system in one month. Learned full-stack development in another.
Learning is not just consuming—it's building and comparing.
My Learning Philosophy
Not "learn then do" — but "learn by doing".
I don't just read documentation — I immerse myself in tools. From Figma to n8n, from Claude to GPT-4, I've hands-on tested every major AI tool to truly understand their capabilities and limitations.
With VectorPaths, I spent one month designing the complete system architecture before writing a single line of code. Then in the next month, I taught myself the entire development stack — frontend, backend, testing, deployment. Not from courses, but from building.
Understanding the landscape matters. By testing multiple LLMs, I know when to use Claude for nuanced reasoning, when GPT excels, and where open-source models fit. This breadth enables better decisions.
Rapid Learning Examples
AI Design Tools
Mastered Figma, Pencil, and various AI-powered design tools to create product mockups and prototypes
LLM Comparison & Evaluation
Tested Claude, GPT-4, Gemini, DeepSeek and more — understanding each model's strengths, weaknesses, and optimal use cases
VectorPaths System Design
Designed the entire VectorPaths architecture in one month — from knowledge graph structure to learning path algorithms
Full-Stack Development
Learned the complete dev workflow in one month — frontend, backend, database, testing, and deployment
Workflow Automation
Built automated workflows with n8n, connecting AI agents with external services for intelligent data processing
Learning Timeline
Explored AI tools: Figma, Pencil, various design software; Started comparing different LLMs
Designed the complete VectorPaths system architecture — knowledge graphs, learning algorithms, user experience flow
Intensive full-stack learning: React/Next.js frontend, Node.js backend, PostgreSQL database design
Mastered testing, CI/CD, deployment pipelines; Built n8n automation workflows with AI agents
Continuously iterating on VectorPaths while exploring new AI capabilities and tools
"The best way to learn is to build."