I'm a Full-Stack AI Engineer focused on building production-ready AI systems that solve real problems. I don't just experiment with models—I ship AI products that work at scale.
Currently, I'm building AI-powered automation tools that handle complex workflows humans shouldn't have to do manually. From autonomous job application engines to real-time interview simulators, I create systems where AI does the heavy lifting.
My background spans distributed systems at Microsoft Azure, petabyte-scale data infrastructure at Capital One, and machine learning research. This lets me build AI systems that are both intelligent and production-grade.
I believe the best AI products are invisible—they just work. That's what I build.
Built to solve my own frustration with job hunting. An AI-powered engine that automatically discovers new relevant jobs and applies with tailored resumes and cover letters—with human approval before each submission.
A real-time AI interview practice platform using GPT Realtime API for natural voice conversations. Practice technical and behavioral interviews with an AI that adapts to your responses and provides instant feedback.
Internal AI agents that help engineers debug production issues faster. These agents understand system architecture, analyze logs, correlate events across services, and suggest root causes—reducing incident resolution time.
Thoughts on building AI systems, lessons learned, and technical deep-dives.
How I built ApplyForMe.co—the architecture, challenges, and lessons learned from automating the job hunt.
What I learned building a real-time AI interview simulator with voice interaction.
Practical patterns for building AI agents that don't break in production.
I'm always interested in talking about AI systems, new projects, or collaboration opportunities.