Clint Michael Dmello
js, and React.
About
Hi, I’m Clint Michael Dmello, a software engineer with over 4 years of experience building scalable backend services, distributed systems, and full-stack applications using Java, Spring Boot, Python, Node.js, and React. I thrive on delivering production-ready microservices and REST APIs in cloud-native environments on AWS, Docker, and Kubernetes, and I enjoy turning complex problems into clean, high-performance architectures.
I excel at automating workflows, integrating diverse systems, and improving reliability with observability tooling like Prometheus, ELK, and CloudWatch. I’ve contributed to ML-driven features through data preprocessing and model training with TensorFlow and scikit-learn, and I’m passionate about delivering maintainable solutions that scale with business needs.
- 5 years' experience
- Joined January 2026
Skills· 13
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Professional Services
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Work experience
Designed and shipped microservices using Java, Spring Boot, and REST APIs, reducing average request latency by 35% through modular architectures and optimized request routing. Built workflow automation and external system integrations with Node.js/Express, delivering 99%+ reliable data-sync pipelines aligned with enterprise ITSM/ITOM standards. Refactored legacy components into Docker- and Kubernetes-based services, boosting deployment frequency by 3x and reducing rollout failures by 40% via automated Jenkins/GitLab pipelines. Created internal observability dashboards with CloudWatch, Prometheus, and ELK, enabling earlier anomaly detection and reducing MTTR by 50% across critical services. Developed secure authentication/authorization layers using Spring Security with RBAC, strengthening compliance posture. Tuned PostgreSQL/MongoDB queries and applied caching (Redis/Guava) on high-traffic APIs, achieving 45% throughput improvement under production load.
Designed and shipped microservices using Java, Spring Boot, and REST APIs; improved latency by 35% through modular architectures and optimized routing. Built workflow automation and external system integrations using Node.js and Express, delivering reliable data-sync pipelines aligned with ITSM/ITOM standards. Refactored legacy components to Docker- and Kubernetes-based services, boosting deployment frequency by 3x and reducing rollout failures by 40% via automated CI/CD pipelines. Created internal observability dashboards using CloudWatch, Prometheus, and ELK to enable earlier anomaly detection and reduce MTTR by 50%. Developed secure authentication/authorization layers using Spring Security with RBAC, strengthening compliance posture and eliminating recurring access-related incidents. Tuned PostgreSQL/MongoDB queries and applied caching (Redis/Guava) on high-traffic APIs, resulting in 45% throughput improvement under production load.
Developed full-stack applications using Java, Spring MVC, JavaScript, React.js, and REST APIs, delivering 10+ customer-facing features that improved client engagement and retention. Engineered backend microservices for high-volume transactions with PostgreSQL/MySQL, improving data access speeds by 20–30% through schema optimization and indexing strategies. Built API-driven integrations using Node.js/Express and Flask, enabling seamless data exchange between 5+ third-party systems with <1% failure rates. Led migration from monolith to microservices, reducing build times by 40% and improving environment consistency through Dockerized deployments. Created CI pipelines with Jenkins, cutting deployment errors by 60% and shrinking release cycles from weeks to days. Strengthened system reliability by integrating ELK/Prometheus metrics and alerting, increasing observability coverage to 90%+ of production modules. Contributed to ML-driven features with data preprocessing, model training (scik
Education
Certifications and awards
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