• Product lead for a backend, REST API service integrating with an analytics platform, enabling SQL queries and providing ODBC/JDBC connectivity through multiple endpoints to enhance data access and analysis.• Machine Learning R&D.• Continuing development of BI & Analytics application product suite.

• Integrating machine learning into client-facing products using LangChain, PyTorch, and HuggingFace in Python.• Leading research and development of Large Language Models and Retrieval-Augmented Generation for Natural Language Processing and user interaction.• Developing a web-based SQL query-building application using Java, Angular, and MongoDB to enhance query construction efficiency, facilitate rapid query creation, and export to a relational database management service.• Contributing to research and development of a BI and analytics product suite in C#, .NET, and SQL, generating over $20 million in revenue.• Supporting the development of a data visualization application using Java and jQuery to monitor and analyze real-time or historical SCADA system information via customizable trend graphs.• Following Agile Scrum methodologies to steer the development process of a versatile DBMS product suite.

• Designed an asynchronous backend router system serving a REST API, supporting transactions across 12 market exchanges.• Executed REST and WebSocket communication in TypeScript, leveraging Node.js and Express.js.• Established a secure NoSQL, MongoDB database system with encryption and hashing for private API key management.• Integrated technology with GraphQL to extract trading data, expanding trading capabilities by 20%.• Collaborated with an Agile and Test-Driven oriented team, delivering rigorous white-box testing using Mocha.js.

• Led the design and development for a proof-of-concept application, enhancing Excel functionality to leverage custom SQL operations, achieving a 53% speed boost over the previous design.• Leveraged ADO.NET/C# and SQL in custom Excel projects to retrieve, manipulate, and update data from connected ODBC databases, enhancing data analysis within Excel.• Developed custom user interface in WinForms, adding an additional 14 distinct Excel operations.

• Managed operational aspects of technical devices and services.

• Configured Linux financial data platform, ensuring robust data handling.• Automated critical server tasks with Python scripts, streamlining operations and reducing setup time by 70%.• Optimized server infrastructure for enhanced reliability, reducing downtime by 15%.