Skills & Tools
A comprehensive list of AI & ML frameworks, automation platforms, development tools, and technologies I use daily to build intelligent applications.
AI & Machine Learning
- Python is my primary language for machine learning, deep learning, NLP, and backend automation pipelines.
- TensorFlow & PyTorch for building and evaluating neural network architectures, CNNs, Regression models, and LSTM networks.
- LangChain & OpenAI API for creating LLM-powered applications, desktop AI assistants, and conversational agents.
- AI Models & Assistants: Hands-on experience with Claude, Gemini, Groq, DALL-E, Antigravity, and Cursor.
Automation & Web Development
- n8n & Make.com for building multi-step workflow automation pipelines and AI content production workflows.
- React 18 & TypeScript for building responsive, modern interactive web interfaces.
- Three.js & GSAP for 3D graphics rendering, shaders, and dynamic web animations (ParticleVerse Studio).
- Supabase & REST APIs for backend data management, authentication, and integration.
Developer Environment
| Code Editor | VS Code / Cursor |
|---|---|
| AI Cloud Environment | Google Colab |
| Automation Server | n8n Cloud / Local |
| Version Control | Git & GitHub |
| Database | Supabase / PostgreSQL |