I ship TypeScript, React, Node.js and AWS products. Right now, I'm learning to integrate AI and automation into real applications.
Real products and features I ship
Scalable microservices architectures with NestJS and event-driven patterns
High-availability systems with zero-downtime deployment strategies
API design and inter-service communication (REST, message queues)
High-performance React/Next.js applications with optimized bundle sizes
Complex state management solutions for enterprise-scale frontends
Server-side rendering and static generation for optimal UX
Serverless architectures on AWS (Lambda, API Gateway, RDS Aurora)
CI/CD pipelines with automated testing and deployment automation
Infrastructure monitoring, logging, and cost optimization
LLM-powered features using OpenAI/Anthropic APIs in production
RAG systems for intelligent document search and knowledge retrieval
Prompt engineering and context management for reliable AI responses
Multi-tenant architecture patterns and data isolation strategies
Feature development with scalability and cost-efficiency in mind
Full lifecycle ownership from design through production monitoring
Projects I've built and shipped
Full parking management solution in production: Astro landing page, React Native Android app for attendants, and web admin panel. Features real-time vehicle in/out registration, dashboard with occupancy and revenue reports, monthly plans and renewals, income analytics, and 24/7 support.
Built with
A mobile-first habit tracking application that turns daily routines into an engaging self-improvement journey. Features a 6-tier league system (Beginner to Titan), streak tracking, statistics dashboard, ranking system, Google OAuth, and email authentication. Built with Next.js 14, Prisma, and PostgreSQL.
Built with
High-reliability web application built with a strict TypeScript stack and microservices architecture. NestJS backend, React frontend, PostgreSQL, Docker, and AWS. Focus on zero-downtime deployments, automated testing pipelines, and CI/CD. Improved system stability and deployment frequency.
Built with
Led the engineering team building scalable distributed systems. Designed API architecture and service communication patterns; mentored developers on clean architecture and testing. Stack: NestJS, React, MongoDB, Docker, GCP. Reduced deployment friction and improved team velocity.
Built with
Built a production-ready RAG system for semantic search over documentation. FastAPI backend, AWS Lambda, and PostgreSQL. Focus on cost optimization, prompt engineering, and response quality. Demonstrates AI engineering in a real product context.
Built with
Hands-on work toward Cloud Architecture and AI Engineering—production-grade systems, not just POCs.
Building production-grade serverless architectures on AWS and exploring multi-tenant SaaS patterns with Lambda, API Gateway, and RDS Aurora. Studying cost optimization strategies for bootstrapped startups. Target: AWS SA Professional certification (2026).
Stack: Next.js frontend, FastAPI backend, AWS Lambda, PostgreSQL. Implementing semantic search over internal documentation and experimenting with prompt engineering and retrieval optimization.
Integrating OpenAI and Anthropic APIs into existing TypeScript/Node.js services. Building reusable AI feature modules for SaaS applications with focus on context management, token optimization, and error handling at scale.
Learning AWS SageMaker, model deployment patterns, and monitoring. Exploring fine-tuning workflows with Hugging Face and LoRA/PEFT. Target: AWS Machine Learning Specialty certification (2026).
Designing cost-effective AI-native SaaS architectures. Comparing serverless vs. containerized inference workloads and building deployment pipelines for LLM-powered features.
Currently open to senior remote roles combining Cloud Architecture + AI Engineering, and consulting opportunities for AI-powered product development.
Insights, tutorials and thoughts on software engineering.
I've been shipping code for 7+ years. I'm a Full-Stack Developer who builds real products with TypeScript, React, Node.js, and AWS. I've worked across retail, IoT, telecom, and SaaS—building everything from frontend interfaces to backend systems to cloud infrastructure.
Right now, I'm learning AI and automation. Not as a consultant selling AI services, but as a developer who wants to integrate these capabilities into the things I build. I'm experimenting with Claude APIs, Abacus assistants, and agentic patterns—learning by doing.
My approach is simple: build solid software with proven technologies, then explore how AI can make it better. I'm not overhyping AI or claiming to be an expert. I'm a developer who ships code and is actively learning new capabilities.
I'm looking for projects where I can contribute as a full-stack developer and potentially integrate AI features. If you need someone who can build reliably while exploring what's next, let's talk.
Let's build something together