Nevzat Pinar

About Me

I've spent 20+ years building enterprise-grade systems at companies like JPMorgan Chase and Fiserv — and the last few years pushing hard into AI, LLMs, and cloud-native architecture. I love solving problems that actually matter and sharing what I learn along the way.

My journey began with a B.S. in Computer Science & Engineering from the University of Texas at Arlington, where I received multiple academic and research-based scholarships — including the National Science Foundation scholarship. Since then I've built a strong foundation in designing and delivering secure, scalable, high-quality software solutions.

Starting as a Java developer, I delivered enterprise-grade applications using Java, J2EE, Spring, Hibernate, and SOAP services — setting the stage for my transition into modern cloud-native and AI-driven development. Along the way I've led teams of 5–6 engineers, reduced infrastructure costs by over 30%, and driven SDLC modernization across large organizations.

My role has evolved well beyond coding. I collaborate closely with stakeholders across all levels, mentor developers, and turn complex requirements into actionable, value-driven solutions.

My Recent Focus Areas

• LLMs and Agentic AI – Actively building with large language models, RAG pipelines, and autonomous agent frameworks.
• Cloud-native development – Architecting resilient, serverless systems on AWS using Lambda, API Gateway, S3, and Kubernetes.

Backed by 4 AWS certifications spanning cloud, AI, and ML:

What Drives Me

• Building AI-powered tools that actually ship — like this chatbot running on AWS Lambda for $0.40/month
• Coaching and mentoring engineers to deliver secure, reliable software
• Continuously learning and pushing into new technology frontiers
• Championing agile principles and engineering excellence

I thrive in fast-paced environments where I can help teams unlock their potential and deliver solutions that make a real difference. Curious about my work? Chat with my AI assistant or connect on LinkedIn.