• Built and scaled backend systems for a nonprofit financial platform processing $1B+ annually across ~1,000 organizations, supporting both cash and non-cash donations.

• Developed secure, cloud-native infrastructure and APIs to handle sensitive financial and donor data at scale.

• Designed and implemented distributed data pipelines and ingestion workflows, processing millions of donation records across multiple sources.

• Developed AI-powered systems for fundraising insights, including backend logic and data pipelines enabling automated donor analytics.

• Evaluated and improved LLM-generated code systems, focusing on correctness, performance, and production usability.

• Analyzed model outputs to identify failure modes, edge cases, and reliability gaps in AI-generated code.

• Provided structured feedback to improve model quality and consistency across real-world engineering scenarios.

• Contributed to evaluation workflows for AI-assisted development systems used in production contexts.

• Built backend services for large-scale hiring infrastructure supporting ~1.5M workers globally, operating across multiple regions and distributed systems.

• Designed event-driven architectures and data pipelines using AWS (Lambda, SQS, Kinesis) for real-time processing at scale.

• Developed microservices and APIs supporting high-throughput, distributed workflows.

• Contributed to infrastructure and CI/CD systems, improving system reliability and deployment consistency.

• Led design and development of ERP systems and scalable web applications across ecommerce and enterprise SaaS domains.

• Built backend services and APIs using Java (Spring Boot), Node.js, and PHP (Laravel) for complex, multi-module business systems.

• Implemented secure authentication and access control systems using Spring Security.

• Designed and deployed AWS-based architectures, improving system scalability and reliability across applications.

• Developed and maintained web applications and internal systems using PHP (Laravel), JavaScript, and MySQL.

• Contributed to internal platforms supporting HR and operational workflows.

• Deployed and managed applications on AWS, improving reliability and performance.