At BNY, I build enterprise AI and backend systems that turn document processing and reconciliation from hours into minutes. I designed an agentic AI orchestration platform with Python, GPT-5.4, AWS S3, Snowflake, and multi-agent workflows, saving 15+ FTEs of manual effort per use case.
I've also developed Spring Boot microservices for Ideas at BNY, an AI innovation platform serving 50K+ employees, and built CI/CD lint enforcement during my BNY Mellon internship. My work spans Java, distributed systems, LLMs, NLP, knowledge graphs, machine learning pipelines, and explainable data products.
