I build systems that don't flinch under scale—event-driven services, data pipelines, and GenAI apps that actually ship.

Currently focused on designing microservices that stay up, fast, and readable with production GenAI patterns (RAG, agents, evaluation). I've spent time at Intuit, Zeta Global, Illinois Center of Transportation, and JP Morgan Chase building systems where correctness, performance, and maintainability all matter.

Open to collaborating on: RAG/Agent systems solving real workflows, data platforms (PySpark/EMR, event-driven architectures), and backend systems where scale meets observability.

About Me

I am open to new opportunities for full-time positions as a Backend Engineer, Software Engineer, or AI Engineer. Feel free to reach out!

My core expertise lies in full-stack development, designing event-driven microservices, building scalable data pipelines, and shipping production GenAI systems. I'm proficient in Spring Boot, Python, Kafka, PostgreSQL, AWS, Docker, Kubernetes, LangChain, RAG patterns, PyTorch, React, Next.js, and TypeScript.

I'm currently exploring production GenAI patterns—evaluating RAG approaches, building reliable agents, and making LLM systems measurable and safe. I love problems where clean architecture, operational excellence, and Hexagonal design patterns intersect.

Open to Collaborate On:
• Retrieval-Augmented Generation (RAG) and Agent systems solving real workflows
• Data platforms (PySpark/EMR, streaming, event-driven architectures)
• Backend systems where performance, correctness, and maintainability all matter

When I'm not working, you can find me lifting or eating.