Available to hire
I am a software engineer with a passion for designing, building, and maintaining scalable systems. I enjoy turning ideas into robust backend services and efficient data processing pipelines, while collaborating with cross-functional teams to deliver high-performance software.
My experience spans Java, Spring Boot, Kafka, React, and modern cloud platforms (GCP, AWS, Azure). I thrive in Agile environments, and I automate ETL and deployment workflows to improve reliability, speed, and maintainability of complex data-driven applications.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
Javanese
Advanced
English
Fluent
Work Experience
Software Engineer (Intern) at Cisco Systems
May 1, 2025 - August 22, 2025Designed and deployed scalable microservices using Spring Boot, PostgreSQL, and Kafka, reducing response latency by 30% for internal telemetry systems. Developed real-time data pipelines with Apache Flink and GCP Dataflow, improving anomaly detection latency by 45%. Automated infrastructure provisioning with Terraform and deployed services on Cloud Run using Docker and GitHub Actions. Built internal React.js dashboards for system health and performance monitoring. Collaborated cross-functionally with DevOps, QA, and Product teams in an Agile environment.
Software Engineer at Intel Corporation
August 1, 2023 - August 22, 2025Implemented Java-based microservices with Spring Boot to enhance modularity and legacy API integration. Developed front-end features using React.js, JavaScript, and Redux to improve datacenter analytics user experience. Integrated Apache Kafka for real-time ingestion processing over 500K daily events. Configured CI/CD pipelines with Jenkins and GitHub Actions for automated testing and deployment. Migrated databases from Oracle to PostgreSQL for 20% query efficiency improvement. Developed backend services for DataMart analytics used by 100+ teams. Automated ETL workflows with Apache Airflow, reducing manual work by 60%. Worked on big data workflows using Apache Spark and Hadoop processing over 10 million records monthly. Ensured 85% test coverage with JUnit and Mockito.
Software Developer at CitiusTech
December 31, 2020 - August 22, 2025Developed microservices using Spring Boot and RESTful APIs, reducing clinical data retrieval response time by 35%, integrating Redis for caching. Designed front-end features with React.js and Redux, improving patient chart visualization load times by 20%. Created secure data ingestion pipelines on Azure with Data Factory and Synapse Analytics, automating HL7/FHIR record processing and cutting manual ETL efforts by 60%. Leveraged Apache Kafka and Spark Streaming for real-time lab result alerting with sub-second latency. Containerized services using Docker and deployed on Azure AKS Kubernetes, achieving 99.9% system uptime. Enhanced automated testing coverage from 45% to 85%, reducing QA times significantly.
Software Engineer (Intern) at Cisco Systems
May 1, 2025 - August 28, 2025Designed and deployed scalable microservices using Spring Boot, PostgreSQL, and Kafka, reducing response latency by 30% across telemetry systems. Developed real-time data pipelines with Apache Flink and GCP Dataflow improving anomaly detection latency by 45%. Automated infrastructure provisioning with Terraform and deployed services with Docker to Cloud Run using GitHub Actions. Built internal React.js dashboards for system health monitoring. Collaborated cross-functionally in Agile with DevOps, QA, and Product teams using JIRA and Confluence.
Software Engineer at Intel Corporation
August 1, 2023 - August 28, 2025Implemented Java-based microservices with Spring Boot enhancing modularity and integration with legacy APIs. Built frontend features using React.js, JavaScript (ES6+), and Redux improving datacenter analytics user experience. Integrated Apache Kafka for real-time data ingestion processing over 500K events per day. Configured Jenkins and GitHub Actions CI/CD pipelines supporting automated testing and deployment. Participated in database migration from Oracle to PostgreSQL achieving 20% query efficiency improvement. Developed backend services for DataMart analytics platform used by 100+ teams. Created and scheduled Apache Airflow DAGs automating ETL processes reducing manual data handling by 60%. Built responsive Angular web modules with live reporting APIs. Contributed to big data workflows with Apache Spark and Hadoop processing over 10 million records monthly. Maintained structured codebase meeting SDLC standards with 85% test coverage using JUnit and Mockito.
Software Developer at CitiusTech
December 1, 2020 - August 28, 2025Developed microservices with Spring Boot and RESTful APIs reducing response time by 35% for clinical data retrieval; integrated Redis for caching EHR metadata. Designed frontend features using React.js and Redux enhancing patient chart visualization with 20% load time improvement. Created secure data ingestion pipelines on Azure using Data Factory and Synapse Analytics automating HL7/FHIR record processing reducing manual ETL by 60%. Leveraged Apache Kafka and Spark Streaming for real-time alerting on abnormal lab results delivering sub-second notifications. Containerized services with Docker deployed on Azure AKS ensuring 99.9% system availability and scalable patient data ingestion. Implemented automated testing with JUnit, Mockito, and Postman improving code coverage from 45% to 85% and reducing QA time by 30%.
Software Engineer (Intern) at Cisco Systems
May 1, 2025 - October 10, 2025Designed and deployed scalable microservices using Spring Boot, PostgreSQL, and Kafka, reducing response latency by 30% across internal telemetry systems. Developed and orchestrated real-time data pipelines using Apache Flink and GCP Dataflow, improving anomaly detection latency by 45%. Automated infrastructure provisioning with Terraform and deployed services via Docker to Cloud Run using GitHub Actions. Built internal dashboards in React.js for system health and performance monitoring, enabling proactive issue detection. Collaborated cross-functionally with DevOps, QA, and Product teams in an Agile environment using JIRA and Confluence.
Software Engineer at Intel Corporation
August 1, 2023 - October 10, 2025Implemented Java-based microservices using Spring Boot, enhancing modularity and enabling seamless integration with legacy APIs. Built front-end features using React.js, JavaScript (ES6+), and Redux, improving client user experience for datacenter analytics. Integrated Apache Kafka for real-time data ingestion from external datacenter partners, processing over 500K events per day. Configured CI/CD pipelines using Jenkins and GitHub Actions to support automated testing and deployment across staging and prod. Participated in database migration from Oracle to PostgreSQL, achieving a 20% improvement in query efficiency. Developed backend services using Java, Spring Boot, and MongoDB for a DataMart analytics platform used by 100+ engineering teams. Created and scheduled Apache Airflow DAGs to automate ETL processes, reducing manual data handling by 60%. Built responsive web modules with Angular and integrated with APIs for live reporting on device vitals and output. Contributed to big data
Software Developer at CitiusTech
December 1, 2020 - October 10, 2025Developed microservices using Spring Boot and RESTful APIs, reducing response time by 35% for clinical data retrieval while integrating Redis for caching frequently accessed EHR metadata. Designed and implemented front-end features using React.js and Redux, enhancing user workflow for patient chart visualization with a 20% improvement in load time across critical dashboards. Created secure data ingestion pipelines on Azure using Data Factory and Synapse Analytics to automate processing of HL7/FHIR records from hospital systems, reducing manual ETL efforts by 60%. Leveraged Apache Kafka and Spark Streaming to support real-time alerting for abnormal lab results, ensuring critical notifications reached clinical teams within sub-second latency thresholds. Containerized services using Docker and deployed via Kubernetes on Azure AKS, resulting in 99.9% system availability and streamlined horizontal scaling for high-volume patient data ingestion. Implemented automated unit and integration tes
Software Engineer (Intern) at Cisco Systems
May 1, 2025 - May 1, 2025Designed and deployed scalable microservices using Spring Boot, PostgreSQL, and Kafka, reducing response latency by 30% across internal telemetry systems. Developed and orchestrated real-time data pipelines using Apache Flink and GCP Dataflow, improving anomaly detection latency by 45%. Automated infrastructure provisioning with Terraform and deployed services via Docker to Cloud Run using GitHub Actions. Built internal dashboards in React.js for system health and performance monitoring, enabling proactive issue detection. Worked cross-functionally with DevOps, QA, and Product teams in an Agile environment using JIRA and Confluence.
Software Engineer at Intel Corporation
August 1, 2023 - August 1, 2023Implemented Java-based microservices using Spring Boot, enhancing system modularity and enabling seamless integration with legacy APIs. Built front-end features using React.js, JavaScript (ES6+), and Redux, improving client user experience for datacenter analytics. Integrated Apache Kafka for real-time data ingestion from external datacenter partners, processing over 500K events per day. Configured CI/CD pipelines using Jenkins and GitHub Actions to support automated testing and deployment across staging and prod. Participated in database migration from Oracle to PostgreSQL, achieving a 20% improvement in query efficiency. Developed backend services using Java, Spring Boot, & MongoDB for a DataMart analytics platform used by 100+ engineering teams. Created and scheduled Apache Airflow DAGs to automate ETL processes, reducing manual data handling by 60%. Built responsive web modules with Angular and integrated with APIs for live reporting on device vitals and output. Contributed to big
Software Developer at CitiusTech
December 1, 2020 - December 1, 2020Developed microservices using Spring Boot and RESTful APIs, reducing response time by 35% for clinical data retrieval while integrating Redis for caching frequently accessed EHR metadata. Designed and implemented front-end features using React.js and Redux, enhancing user workflow for patient chart visualization with a 20% improvement in load time across critical dashboards. Created secure data ingestion pipelines on Azure using Data Factory and Synapse Analytics to automate processing of HL7/FHIR records from hospital systems, reducing manual ETL efforts by 60%. Leveraged Apache Kafka and Spark Streaming to support real-time alerting for abnormal lab results, ensuring critical notifications reached clinical teams within sub-second latency thresholds. Containerized services using Docker and deployed via Kubernetes on Azure AKS, resulting in 99.9% system availability and streamlined horizontal scaling for high-volume patient data ingestion. Implemented automated unit and integration tes
Software Engineer (Intern) at Cisco Systems
December 1, 2024 - May 1, 2025Designed and deployed scalable microservices using Spring Boot, PostgreSQL, and Kafka, reducing response latency by 30% across internal telemetry systems. Developed and orchestrated real-time data pipelines using Apache Flink and GCP Dataflow, improving anomaly detection latency by 45%. Automated infrastructure provisioning with Terraform and deployed services via Docker to Cloud Run using GitHub Actions. Built internal dashboards in React.js for system health and performance monitoring, enabling proactive issue detection. Worked cross-functionally with DevOps, QA, and Product teams in an Agile environment using JIRA and Confluence.
Software Engineer at Intel Corporation
January 1, 2021 - August 1, 2023Implemented Java-based microservices using Spring Boot, enhancing system modularity and enabling seamless integration with legacy APIs. Built front-end features using React.js, JavaScript (ES6+), and Redux, improving client UX for datacenter analytics. Integrated Apache Kafka for real-time data ingestion from external datacenter partners, processing over 500K events per day. Configured CI/CD pipelines using Jenkins and GitHub Actions to support automated testing and deployment across staging and prod. Participated in database migration from Oracle to PostgreSQL, achieving a 20% improvement in query efficiency. Developed backend services using Java, Spring Boot, and MongoDB for a DataMart analytics platform used by 100+ engineering teams. Created and scheduled Apache Airflow DAGs to automate ETL processes, reducing manual data handling by 60%. Built responsive web modules with Angular and integrated with APIs for live reporting on device vitals and output. Contributed to big data workfl
Education
Masters in Information Systems at Northeastern University
January 11, 2030 - May 1, 2025Bachelors in Computer Science and Engineering at PES University
January 11, 2030 - May 1, 2021Masters in Information Systems at Northeastern University
January 11, 2030 - May 1, 2025Bachelors in Computer Science and Engineering at PES University
January 11, 2030 - May 1, 2021Masters in Information Systems at Northeastern University
January 11, 2030 - May 1, 2025Bachelors in Computer Science and Engineering at PES University
January 11, 2030 - May 1, 2021Masters in Information Systems at Northeastern University
January 11, 2030 - May 1, 2025Bachelors in Computer Science and Engineering at PES University
January 11, 2030 - May 1, 2021Masters in Information Systems at Northeastern University
January 11, 2030 - May 1, 2025Bachelors in Computer Science and Engineering at PES University
January 11, 2030 - May 1, 2021Qualifications
Industry Experience
Software & Internet, Healthcare, Professional Services, Telecommunications
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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