Building Enterprise AI Gateway Infrastructure: Developing and scaling a centralized API gateway that enables secure and efficient LLM prompting across the organization.

Engineering High-Concurrency Systems: Implementing performance optimizations using FastAPI and Asynchronous Python to handle high-volume request loads and ensure stable worker distribution.

Developing AI Capabilities: Integrating advanced features such as tool calling and parameter validation into production APIs to support the development of agentic workflows.

Enhancing Platform Observability: Redesigning logging and ingestion pipelines to improve system diagnostics and ensure reliable data visibility under peak concurrency.

Asset Allocation team

• Design and implement data processing pipelines using Python and Quartz

• Develop and implement data quality checks to ensure accurate data processing

• Utilize behavior-driven development (BDD) methodology to capture business requirements and test the code

• Collaborate with cross-functional teams to ensure project goals are met

Part of the Transaction Reporting team responsible for building a new TR system for MiFID2 and SFTR regulations using Python and Quartz.

• Designed and implemented data pipelines using graph-oriented programming

• Utilized Scrum and Agile methodologies to manage project workflow

• Applied Behavior-Driven Development (BDD) to ensure project deliverables met stakeholder requirements.

Contract at Bank of America Merrill Lynch

• Responsible for maintenance and development of the system which monitors data transfer to/from multiple devices.

• Worked with complex bash scripts to build application and development environment.

• Implemented tests for existing software components and developed a new one using Java.

• Utilized Java, Docker, Linux (CentOS), Scrum, Jenkins, JavaScript, and ActiveMQ on the project.

• Applied Agile and Scrum methodologies to manage project workflow.