Yogansh Kesarwani

Backend Engineer

Bengaluru, Karnataka, India2 yrs 11 mos experience

Highly Stable

Key Highlights

Reduced production downtime by 40%
Engineered self-healing Java health check service
Improved API response time by 15%

Stackforce AI infers this person is a Backend Developer specializing in Healthcare technology with expertise in Java microservices and DevOps.

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Skills

Core Skills

JavaMicroservicesDockerKubernetesPython

Other Skills

GitJenkinsAmazon Web Services (AWS)Test AutomationSoftware InfrastructureCentricity Cardio EnterpriseC (Programming Language)C++Core JavaEngineeringStrategyWeb DevelopmentProject ManagementEducationData Science

About

Backend Developer with over 3 years of experience specializing in designing, building, and scaling high-availability Java microservices. In my current role as a Software Engineer Specialist at GE Healthcare, I focus on enhancing system performance, security, and reliability. I have a proven track record of delivering impactful results, including: 🚀 Reducing production downtime by 40% through backend stability improvements. 📈 Engineered a self-healing Java health check service to ensure data pipeline integrity, automatically restarting failed deployments upon detecting data flow anomalies and cutting issue detection time by 60% ⚡ Improving API response time by 15% after migrating key modules from Java 8 to Java 17. I am passionate about leveraging DevOps best practices to create robust and efficient systems. My core technical skills include: Languages: Java, Python, SQL Backend: Microservices, REST APIs, Spring Boot Cloud & DevOps: Kubernetes (K8s), Docker, CI/CD, AWS (EC2, EKS) Databases: MySQL

Experience

2 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

2 yrs 11 mos

Current Experience

Ge healthcare

2 roles

Software Engineering Specialist

Jul 2023 – Present · 2 yrs 11 mos

Strengthened system security and performance by leading the migration of three backend modules from Java 8 to Java 17, resolving multiple critical CVEs and improving API response time by 15%.
Engineered a self-healing Java health check service to ensure data pipeline integrity, automatically restarting failed deployments and cutting issue detection time by 60%.
Championed DevOps best practices by automating CI/CD pipelines, tripling deployment frequency while maintaining 100% uptime.

GitJenkinsJavaKubernetesDockerMicroservices

Intern

Sep 2022 – Jul 2023 · 10 mos

Pioneered the modernization of a legacy patient monitoring application, containerizing it with Docker and orchestrating its first-ever deployment on a cloud-native Kubernetes infrastructure
Enhanced code quality by implementing a test automation framework that slashed post-release production bugs by 30%

GitJenkinsDockerKubernetes