About
I am a software engineer focused on backend systems, cloud infrastructure, and applied AI. Over the years, I have built production systems across web platforms, distributed services, and data-driven applications, with a strong emphasis on reliability, clarity, and execution.
Today, my work sits at the intersection of software engineering, site reliability, and AI/ML systems. I design and build applications that turn unstructured data into structured intelligence, and I am especially interested in agentic architectures, LLM-powered workflows, and robust backend platforms.
My technical background includes Python, FastAPI, AWS, Docker, Terraform, distributed systems, and backend architecture. I care about building software that is not only functional, but maintainable, observable, and commercially useful.
I studied Philosophy, which shaped how I think: clearly, carefully, and with attention to first principles. I write to share what I learn, refine my thinking, and document ideas worth building.
Experience
Staff Systems & Software Engineer, AI/ML Team
Building AI and ML systems, including agent-based workflows, LLM fine-tuning, and MLOps pipelines to move AI applications into production reliably.
Senior Software Engineer | Python & Site Reliability Engineer
Designed and developed robust APIs using FastAPI for optimal performance and efficient HTTP request handling. Worked across backend engineering and site reliability, operating distributed applications in production.
Technical Lead
Led engineering execution across backend and platform initiatives, helping teams deliver reliable systems and move faster with clearer technical direction.
Senior Software Engineer
Built backend services using Python and Flask, contributing to application architecture, delivery, and engineering quality across the stack.
Senior Software Engineer
Built backend services and applications using PHP and Vue.js, contributing to product development and platform reliability.
Software Engineer
Built automation solutions and cloud-based applications on AWS, delivering contract engineering work across multiple projects.
Products
AI-driven tenant validation platform that analyzes financial statements and documents to evaluate rental risk using LLM-powered document processing.
Platform that converts PDFs and documents into structured JSON using LLM pipelines and retrieval architectures. Built with RAG, LangGraph, AWS, Python, and ADK.
Open Source
Docker-based development environment for the Sylius e-commerce platform. Reproducible local setup with containers for PHP, Nginx, and MySQL.
Dockerized development environment for Drupal. Containerized workflow for local development, testing, and CI/CD integration.
Lightweight Docker-based development environment for Sylius projects with minimal configuration.