United States
I'm a Senior Software Engineer with a Master's in Computer Science from Cal State Long Beach, specializing in building scalable backend systems and data-driven applications. My core stack is Python, Java, and React — I've worked across full-stack development with a focus on backend services, APIs, and system reliability. I'm drawn to problems at the intersection of fintech, AI, and infrastructure — where performance, correctness, and scale all matter. Currently at Interco, building production systems that handle real business complexity. I thrive in environments where engineering decisions have direct product impact. Open to Senior SDE roles in fintech, AI/ML infrastructure, or platform engineering — on-site, hybrid, or remote across the US. Let's connect if you're building something that scales.
• Built data validation and reliability-check system for usage data; reduced reported bugs by 20% and eliminated manual reporting overhead • Engineered backend services from spec (Python, FastAPI, React.js), automating critical workflows and enabling new business offerings within existing product model • Resolved accumulated technical debt across core systems, driving 60% reduction in production incidents Containerized services with Docker and built CI/CD pipelines via GitHub Actions on Linux; cut deployment time by 50% • Mentored new engineers on codebase standards and architecture; improved avg. new-hire performance by 30% in first 90 days • Designed and maintained RESTful APIs across distributed microservices, improving system reliability and reducing integration friction for downstream consumers • Partnered with product and ops teams to translate business requirements into scalable backend solutions, accelerating feature delivery
• Built data validation and reliability-check system for usage data; reduced reported bugs by 20% and eliminated manual reporting overhead • Engineered high-performance backend systems from spec (Python, FastAPI, React.js), automating workflows end-to-end and enabling new product offerings within existing business model • Addressed technical debt across core systems, resulting in 60% reduction in major production incidents • Containerized microservices with Docker and implemented GitHub Actions CI/CD pipelines on Linux; cut deployment time by 50% • Mentored new engineers on codebase standards and system architecture; improved new-hire productivity by 30% within first 90 days
• Assisted the team in launching and developing the new service type’s royalty system on top of the existing system using Java, Spring Boot, Spring JDBC Framework, and Service-Oriented Architecture. • Designed, developed, and deployed key modules for the EIPP product, significantly enhancing payment processing efficiency minimizing manual effort by 25%. • Developed APIs to automate the process of manually cleaning up corrupted sales data on a monthly/quarterly basis. This resulted in a controlled re-run of business activities and improved support team productivity. • Designed and developed the Correspondence Module for automating the generation of various correspondence types, including invoices, disputes, and reminders. Enabled pre-scheduled or manual triggering of correspondence, improving operational efficiency by 60% and reducing manual effort. • Streamlined communication workflows by integrating automated reminders and customized correspondence setups, leading to enhanced customer experience. • Assisted the team in preparing technical documents such as API specifications and low-level design documents for the system.