Who I Am
A passionate full-stack developer crafting scalable, modern applications with a focus on clean code and great user experiences.
Building scalable platforms, infrastructure, and developer tooling
I am a full-stack engineer with strong expertise in backend systems, infrastructure engineering, and cloud-native application development. Over the years, I have worked extensively with Ruby on Rails, Python FastAPI, React Native, Docker, and Kubernetes to architect modern applications and production-grade systems.
My work extends beyond frontend development into backend infrastructure, cloud deployments, CI/CD automation, API optimization, observability pipelines, and self-hosted bare-metal environments running from my homelab infrastructure.
I enjoy solving complex engineering challenges involving distributed systems, reverse proxies, container orchestration, database optimization, monitoring stacks, and scalable deployment architectures.
I also enjoy building internal engineering tools that improve developer workflows and operational visibility. One of my projects, Docklog, is a self-hosted container management and logging utility designed to help teams monitor services, inspect logs, restart containers, and streamline infrastructure debugging from a centralized interface.
I strongly believe in clean software craftsmanship: building maintainable systems, reusable services, reliable deployment pipelines, and scalable architectures that are designed to last.
- AI-powered recruitment platforms
- Self-hosted Kubernetes infrastructure
- Cloud-native backend systems
- Infrastructure automation tooling
- High-performance APIs & observability
Product Engineering
Building scalable web and mobile applications using React Native, TypeScript, and modern backend systems with clean architecture and maintainable codebases.
Backend Systems & APIs
Architecting high-performance backend infrastructures using Ruby on Rails and FastAPI with expertise in REST APIs, WebSockets, Redis, PostgreSQL optimization, and scalable service design.
Cloud & Infrastructure
Managing deployments across AWS and self-hosted infrastructure using Docker, Kubernetes, Linux servers, reverse proxies, CI/CD pipelines, and production-grade monitoring systems.
Self-Hosted Infrastructure
Running and maintaining dedicated homelab servers for Kubernetes orchestration, observability stacks, GPU workloads, containerized services, reverse proxies, and infrastructure experimentation.
Developer Tooling & Automation
Building internal engineering utilities like Docklog for centralized log monitoring, container lifecycle management, infrastructure debugging, and developer workflow automation.
Performance & Reliability
Passionate about observability, performance optimization, database tuning, API latency reduction, infrastructure monitoring, and building reliable production systems at scale.
Technical Expertise & Infrastructure Experience
A detailed overview of the technologies, backend systems, cloud infrastructure, automation workflows, and engineering practices I use to build and maintain scalable production-grade applications.
Backend Engineering
Cloud & Infrastructure
Frontend & Mobile
Linux & Systems Administration
Networking & Infrastructure
Monitoring & Observability
Automation & Tooling
AI & Modern Systems
Engineering Practices
✓ Bare-metal Linux servers
✓ Docker & Kubernetes deployments
✓ Reverse proxy & networking setup
✓ Docklog container management platform
✓ Real-time infrastructure monitoring
✓ Automated deployment workflows
✓ Cloud-native backend systems
✓ Production reliability engineering
✓ CI/CD automation pipelines
Rails • FastAPI • PostgreSQL • Redis
APIs • WebSockets • Background Jobs
Docker • Kubernetes • AWS • Linux
Nginx • Traefik • CI/CD Pipelines
Grafana • Prometheus • Docklog
Log Aggregation • Container Debugging
Outside client projects, I actively maintain a self-hosted engineering environment where I experiment with infrastructure orchestration, distributed systems, container deployments, observability stacks, GPU workloads, automation tooling, and scalable production-like architectures.