Senior Software Engineer with proven expertise in high-performance backend systems, distributed architectures, and real-time data processing in cloud environments. Currently at MaxinAI, designing and delivering scalable Java/Spring microservices for AI-driven SaaS. Previously built enterprise-grade backend systems at Noxtton and led full-stack web/mobile development at Wandio. Specialized in optimizing latency, throughput, and cloud infrastructure reliability. Motivated by building end-to-end solutions, enhancing engineering productivity, and leveraging AI-driven workflows to drive impact. Seeking opportunities to lead platform-scale engineering with a focus on scalable architecture, performance, and innovation.

Designed and developed scalable backend systems for AI SaaS platforms using Java, Spring Boot, and microservices. Built high-throughput distributed systems, implemented reactive services, event-driven architectures with Kafka, and optimized application performance. Led cloud-native deployments on AWS and Kubernetes, supported CI/CD automation, technical documentation, and enabled AI-powered workflows for internal and customer-facing services. Improved backend service throughput by 38%, reduced latency by 34%, and increased deployment reliability by 30%.

Senior Software Engineer

Developed enterprise backend systems with Java/Spring, built RESTful APIs, designed distributed service architectures, and integrated reliable messaging solutions. Enhanced backend performance, improved application stability by 28%, increased release efficiency by 25% through automation, and supported cloud environments. Led technical documentation and scaled development processes for critical business software.

Software Engineer

Developed large-scale web and mobile systems for diverse industries. Produced responsive interfaces for 200K+ users, built backend services and REST APIs in Java and Node.js, increasing throughput and reducing execution times. Enhanced security, optimized databases, automated deployments, and collaborated cross-functionally to reduce feature rework and increase delivery frequency.