Building developer tools, infrastructure software, and AI systems — from low-level implementations to usable applications.
🌐 Portfolio • GitHub • LinkedIn
I enjoy building systems that continue to work long after the first release.
My interests span developer tooling, backend engineering, infrastructure, and artificial intelligence. I like understanding how things work under the hood, turning ideas into usable software, and improving projects through real-world testing and iteration.
- 🚀 Build, ship, and improve real software.
- 🔓 Develop and maintain open-source projects.
- 🏗 Design systems that are maintainable and extensible.
- 📊 Measure performance instead of guessing.
- 🤖 Explore AI as both a product capability and an engineering discipline.
Projects I've built across desktop software, developer infrastructure, and AI.
🖥️ Dockit
Desktop Container Management | Go · Wails · Docker
A desktop application for managing containers and simplifying container-engine workflows.
- Container management through a desktop interface.
- Simplified engine setup and installation workflows.
- Container image discovery and related developer workflows.
- Cross-platform packaging and installation work.
⌨️ Termlet
SSH & Remote Development | Open Source
A desktop application focused on SSH and remote-development workflows.
Building toward a more convenient experience for working with remote systems through a dedicated application.
🔐 ManUp
Secrets Management | TypeScript · Node.js · PostgreSQL
An open-source secrets management platform for organizing and accessing application secrets across development and deployment workflows.
- Centralized secret management.
- Team and environment-oriented organization.
- CLI and REST API workflows.
- Encrypted secret storage and Docker-based deployment.
| Project | Focus | Repository |
|---|---|---|
| 🧠 MLCore | Machine learning infrastructure and workflows | GitHub |
| 🧩 RunAPI | Backend framework and API development | GitHub |
| 💬 ChatMe | Real-time communication and backend architecture | GitHub |
| 🤖 Forge GPT | Learning and implementing LLM internals from scratch | GitHub |
I use these projects to explore different engineering problems, experiment with architectural ideas, and turn what I learn into practical implementations.
| Category | Technologies |
|---|---|
| Languages | Python · Go · TypeScript · JavaScript · C |
| Frontend | React · Next.js · Tailwind CSS |
| Backend | FastAPI · Node.js · Django · NestJS · Express |
| Databases | PostgreSQL · MongoDB · Redis · SQLite · Qdrant |
| AI / ML | PyTorch · TensorFlow · Hugging Face · Transformers · RAG |
| Infrastructure | Linux · Docker · Kubernetes · Nginx · AWS |
| DevOps | GitHub Actions · Docker Compose · CI/CD |
| Tools | Git · Postman · VS Code |
- LLM internals: Transformer architectures, training, inference, and optimization.
- AI systems: RAG, agents, model serving, and practical AI applications.
- Systems engineering: Memory efficiency, performance, and resource management.
- Infrastructure: Containers, deployment automation, and distributed systems.
- Developer experience: Better desktop applications, CLIs, and open-source tooling.
- Keep systems simple before making them clever.
- Build software that is observable and debuggable.
- Optimize for developer experience.
- Prefer automation over repetitive manual work.
- Treat security as an architectural concern.
- Design systems that can evolve without complete rewrites.
- Ship early, learn from actual usage, and iterate.
I'm interested in collaborating on projects involving:
- 🤖 AI and machine learning
- ☁️ Cloud and developer infrastructure
- 🔐 Security and developer tooling
- 🏗 Backend and systems engineering
- 🖥️ Desktop applications
- 🔓 Open-source software
If you're building something interesting, exploring a difficult engineering problem, or want to contribute to one of my projects, feel free to reach out.
⭐ If you find something useful in my projects, consider giving the repository a star.