AI/ML developer building agentic products, full-stack AI systems, and practical automation tools.
I build AI products that connect language models with real workflows: agents, RAG systems, voice interfaces, automation pipelines, ML education platforms, and full-stack prototypes.
My work sits at the intersection of machine learning, computer vision, agentic workflows, and production-oriented web development.
AI agents RAG systems Voice AI ML platforms
Next.js apps FastAPI APIs Supabase LangGraph workflows
- Multi-agent applications with planning, memory, tool use, and workflow orchestration.
- Full-stack AI products using TypeScript, Python, Next.js, FastAPI, Supabase, and vector search.
- Practical GenAI systems for research, content, operations, voice, travel, invoices, and education.
- Applying deep learning and computer vision foundations to practical product ideas.
- Product-first prototypes with clear user workflows, not isolated model demos.
- Agent systems designed around tools, memory, evaluation, and approval boundaries.
- Full-stack builds that connect UI, API, storage, vector search, and deployment.
- Documentation and learning resources that make complex ML and GenAI topics easier to apply.
| Area | Tools and concepts |
|---|---|
| Languages | Python, TypeScript, JavaScript, SQL, R |
| AI and ML | Deep learning, machine learning, computer vision, RAG, vector search, agent workflows |
| Frameworks | Next.js, React, FastAPI, LangGraph, CrewAI |
| Data and infra | Supabase, pgvector, Vercel, GitHub Actions |
| Product areas | AI agents, automation platforms, voice AI, developer tools, ML education |
- Portfolio: abby263.github.io
- GitHub: github.com/Abby263
- Email: [email protected]