I have over eight years of professional software engineering experience across financial services, investment management, telecommunications, and data-intensive technology environments, most recently working as a Senior Software Engineer at Bank of America in Liquidity Risk and Pricing Verification. At Bank of America, I have built Python-based agentic AI solutions using Claude and AWS to automate software testing and large-scale code migrations, while also optimizing financial data pipelines and improving their performance by up to 99%. Previously, at Bloomberg, I worked extensively with C++, Python, Kafka, AWS, and real-time data systems, including designing caching solutions serving approximately 350,000 clients and developing classification and model-refresh systems. Before Bloomberg, I spent four years at Altice USA building scalable Python microservices, distributed ETL and telemetry pipelines processing over a billion records daily, and real-time network analytics and troubleshooting systems. My key technical skills include Python, C++, SQL, AWS, Flask, Django, PostgreSQL, MongoDB, Redis, RabbitMQ, Celery, Kafka, Docker, and agentic AI, with particular strengths in backend development, distributed systems, data engineering, performance optimization, and designing scalable production systems.