Available to hire
I’m a software engineer with 3+ years of experience designing and building scalable backend systems and AI-enabled applications. I work across Java, Python, Spring Boot, Node.js, and microservices architectures to deliver reliable, secure, and performant solutions.
I have hands-on experience with Kafka, PostgreSQL, MongoDB, and cloud-native tooling, and I enjoy integrating ML models and LLM-powered capabilities to automate complex workflows and detect fraud in production environments.
Skills
Experience Level
Expert
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Intermediate
Intermediate
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Intermediate
Language
Javanese
Advanced
Work Experience
Software Engineer at JPMorgan Chase & Co. (JPMC)
August 1, 2024 - PresentDeveloped backend components for the AI Fraud Investigation Agent initiative that analyze suspicious financial transactions and automatically collect related account activity to assist fraud analysts during investigations. Designed and implemented secure RESTful microservices using Java and Spring Boot to enable integration between transaction processing systems and fraud analysis workflows. Optimized transaction data processing pipelines using Kafka streaming and PostgreSQL, improving fraud signal retrieval efficiency by 30%. Integrated machine learning inference services built with Python and Scikit-learn to support anomaly detection and transaction risk scoring within fraud investigation workflows. Engineered asynchronous event-driven communication using Apache Kafka, ensuring reliable delivery of fraud alerts across distributed banking services. Monitored system performance and operational health using ElasticSearch and Kibana dashboards. Automated build, test, and deployment pipel
Software Engineer at Trigent
November 1, 2020 - July 1, 2022Contributed to the Intelligent Process Automation Platform by developing backend services that integrated rule-based logic with early-stage machine learning models to streamline enterprise business workflows. Implemented RESTful microservices using Node.js and Express.js, enabling modular service communication and supporting scalable application growth. Built responsive user interfaces with Angular, HTML5, and CSS3, translating requirements into data-driven front-end experiences. Engineered relational and NoSQL data models using MySQL and MongoDB, optimizing query performance and improving data retrieval efficiency by 35%. Automated CI pipelines and Git-based releases, reducing manual release effort by 40%. Wrote unit and integration tests with Jest and Mocha to validate stability across environments. Collaborated with analysts and QA in Agile sprints and implemented RBAC-based secure API patterns.
Education
Master of Science in Computer Science at George Mason University
August 1, 2022 - May 1, 2024Qualifications
Industry Experience
Software & Internet, Financial Services, Professional Services
Skills
Experience Level
Expert
Expert
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Intermediate
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