Austin, TX | LinkedIn • Portfolio • Email
Full-Stack Software Engineer with professional experience and a B.S. in Software Engineering, specializing in building and maintaining production applications. My journey has evolved from frontend development and systems analysis at a state digital archive to architecting full-stack systems and founding an open-source AI platform. I focus on creating scalable, well-documented solutions and enjoy the challenges of system design, backend services, and integrating AI-driven functionality.
🔗 Repository: github.com/chatvector-ai
An open-source RAG (Retrieval-Augmented Generation) engine built as a modular backend API. Enables developers to add document intelligence—like semantic search and Q&A—to their applications without rebuilding the core AI pipeline.
The Story: Successfully transitioned from solo developer to open-source maintainer, guiding the project (originally Doctalk-AI) through strategic rebranding, architectural refactoring, and early community growth. This project represents my deep dive into backend/AI systems and project leadership.
🛠️ Tech Stack: FastAPI Python Google Gemini API Supabase (PostgreSQL/pgvector) LangChain Docker GitHub Actions
✨ Key Achievements:
- Built and documented a fully functional, production-ready backend API.
- Established professional open-source workflows: CI/CD-ready testing, structured logging, and contributor guidelines.
- Managed PRs and integrated community contributions, fostering a collaborative environment.
- Positioned the project as a foundational "document intelligence engine" for other developers.
Frontend & UI: TypeScript JavaScript React Next.js HTML5/CSS3 Tailwind CSS Bootstrap Redux RTK Query
Backend & APIs: Node.js Express Python FastAPI RESTful APIs C# .NET
Databases & AI: PostgreSQL SQL MongoDB Supabase LangChain AI/ML Integration
DevOps & Tools: Git GitHub Actions Docker AWS Fundamentals Vercel Railway Agile/Scrum