Nihal Kumar Sharma

Working as a Java Developer(SDE-1) at Kaleris, focusing on building and customizing solutions for clients across the globe, ensuring seamless integration and optimal performance. Specializing in Java and Groovy, leveraging these technologies to develop scalable, maintainable, and high-performance applications tailored to client needs. Responsible for end-to-end customization and deployment, working closely with global teams to adapt solutions based on specific business requirements and regional compliance standards. Enhancing and optimizing existing applications, improving efficiency, scalability, and security while troubleshooting and resolving critical production issues. Collaborating with cross-functional teams, including product managers, QA engineers, and DevOps, to ensure smooth implementation and continuous improvement of client-specific solutions.

Contributed to the development of next-gen autonomous pharmacy solutions, focusing on enhancing product functionality and reliability. Designed and implemented a Proof of Concept (PoC) for log analysis and monitoring, improving system observability. Developed a diagnostic tab in the Stock Area Hub, integrating it with Signoz for real-time monitoring and debugging. Wrote unit tests and integration tests, ensuring code quality, robustness, and seamless system functionality. Collaborated with cross-functional teams, including product managers, designers, and QA engineers, to drive innovation in healthcare technology. Optimized software performance by analyzing logs, identifying bottlenecks, and implementing necessary improvements. Gained hands-on experience in cloud technologies, microservices architecture, and monitoring tools to enhance system scalability and reliability.

Designed and deployed a Hyperledger Fabric network on cloud using Docker. Developing and deploying secure and scalable chaincode on Hyperledger Fabric networks. Conducting testing and quality assurance for reliable and efficient blockchain applications. Implemented Hyperledger Fabric in Docker Swarm and Kubernetes deployments, ensuring high availability and scalability of the blockchain network. Integrated the Hyperledger Fabric network with APIs to facilitate seamless interaction with external systems and applications. Utilized Prometheus and Grafana for monitoring the performance and health of the Hyperledger Fabric network, achieving an enhancement of 80% in proactive maintenance and troubleshooting. Integrated various metrics to gain insights into the network’s performance, achieving a throughput increase of 50% and a reduction in resource utilization by 30%. Developed custom chaincodes in JavaScript to meet specific business requirements, enhancing the functionality and versatility of the blockchain applications. Integrated custom chaincodes seamlessly with existing systems, ensuring smooth data flow and interoperability. Wrote numerous custom scripts for automating tasks such as channel creation, chaincode deployment, and network configuration, streamlining the deployment and management processes. Produced comprehensive documentation covering various aspects of the Hyperledger Fabric implementation, including setup instructions, configuration details, and best practices. Integrated Hyperledger Explorer to provide a user-friendly interface for monitoring and managing the blockchain network, enhancing visibility and control. Optimized the Hyperledger Fabric deployment for production-level performance, ensuring reliability, security, and scalability in real-world environments.

Worked on Cloud to design, deploy, and manage scalable Infrastructure as a Service solutions, contributing to a 40% increase in system scalability. Automated operations and improved efficiency, implementing disaster recovery strategies, resulting in a 50% reduction in manual intervention. Troubleshot Cloud-related issues, staying updated with the latest features and services, leading to a 30% decrease in resolution time. Implemented cost optimization measures, reducing infrastructure expenses by 25%. Conducted performance optimization tasks, enhancing system responsiveness by 20%. Collaborated with stakeholders to define and meet service-level agreements (SLAs), achieving a 95% SLA compliance rate. Implemented security best practices, resulting in a 60% reduction in security incidents. Conducted regular capacity planning assessments, ensuring optimal resource allocation and avoiding overprovisioning, resulting in a 30% reduction in infrastructure costs. Implemented continuous integration and deployment (CI/CD) pipelines, reducing deployment time by 40%

Assisted in implementing cloud solutions and ensuring secure deployment and maintenance, contributing to a 30% reduction in deployment time. Conducted security audits and implemented measures to protect sensitive data, resulting in a 25% decrease in security vulnerabilities. Troubleshooted and resolved cloud-related issues, staying updated with the latest technologies, resulting in a 40% improvement in system uptime. Implemented automated backup solutions, reducing data loss risks by 70%. Collaborated with cross-functional teams to optimize cloud infrastructure, achieving a 20% cost reduction. Provided technical guidance and training to team members, resulting in a 50% increase in team productivity. Developed custom monitoring dashboards, improving visibility into system performance by 35%. Implemented disaster recovery plans, reducing recovery time by 60% during system failures.