I design scalable backend systems, cloud-native infrastructure, and high-performance applications using Ruby on Rails, FastAPI, Docker, Kubernetes, AWS, and React Native.
My work focuses on distributed systems, automation tooling, production-grade infrastructure, observability stacks, CI/CD pipelines, and modern self-hosted environments.
6+
Years Experience20+
Production Projects10+
Infrastructure Deployments--------------------------------
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.
Core Technical Expertise
A summarized overview of my core competencies in backend engineering, systems architecture, and cloud deployment.
Backend Engineering
Cloud & Infrastructure
AI & Modern Systems
Completed Projects
Explore a curated selection of my mobile applications, scalable backend systems, and DevOps automation.
RecruitEase Pro
AI Recruitment & Hiring PlatformA full-scale AI-assisted recruitment platform featuring multi-tenant hiring infrastructure, coding assessments, AI proctoring, resume parsing, interview automation, and recruiter workflow management.
PanaceaFinder
AI-Powered Wellness Discovery PlatformAn AI-powered wellness and beauty discovery platform enabling users to search, discover, and explore wellness services, health conditions, and beauty providers through intelligent search and scalable operational workflows.
Realty Pulse Pro
RAG-Based Real Estate AI PlatformA RAG-powered real estate intelligence platform enabling agencies and brokers to create AI property assistants using OpenAI APIs, semantic search, vector retrieval, and conversational property discovery workflows.
