Design, develop, test, deploy, and maintain scalable Java and Spring Boot backend services, REST APIs, and microservices. Work with PostgreSQL, SQL, JPA/Hibernate, Azure, Docker, Kubernetes, and CI/CD pipelines. Apply distributed-systems, security, resilience, and performance-tuning practices; troubleshoot production issues; contribute to architecture and code reviews; collaborate cross-functionally; and mentor junior and mid-level engineers.

Lead customer-facing development and deployment of production-ready ML, Generative AI, and agentic AI solutions for supply chain challenges. Partner with customers from discovery through adoption, build scalable ML pipelines and prototypes, evaluate emerging AI technologies, collaborate cross-functionally, and mentor team members to drive measurable business impact.

Design, build, and operate scalable batch and real-time data pipelines and analytics platforms. Partner with enterprise customers to define requirements, own technical delivery from discovery to adoption, and present architectures to stakeholders. Drive data governance, observability, CI/CD, and platform optimization while mentoring junior engineers and collaborating with Product, Engineering, and Customer Success teams to enable analytics and AI/ML applications.