Skilled Full-Stack Software Engineer with over a decade of experience designing, implementing, and maintaining software for Fortune 500 companies. Currently prototyping a sophisticated RAG system for audio analysis in Python using Whisper for transcription and Librosa for Laplacian segmentation. Multimodal LLM integration for audio understanding, Knowledge graph visualization, and tool usage via the Model Context Protocol ( MCP). Proven expertise in developing critical software infrastructure. Personally implemented two enterprise logging frameworks, including Boost.Log and the Google Gtest unit testing and mocking tools for C++. Additionally, implemented Serilog sinks across a suite of .NET Core applications. Helped create a company-wide observability tool with centralized log management by feeding Serilog streams and other platform metrics into Greylog and DataDog. Created OpenAPI/SwaggerUI APIs. Migrated legacy systems to use modern IdAM standards such as Open Id Connect for federated SSO and identity management. Developed enterprise software platforms that incorporated both REST and SOAP-based APIs. Well-versed in modern web development tools, JavaScript meta-frameworks such as Next.js, type-safe UI design using TypeScript and Tailwind CSS, as well as extensive experience with enterprise software development using ASP.NET and .NET Core C# Web applications as well as Entity Framework and Azure/AWS deployments. Seeking a software engineering role where I can work on impactful projects at an innovative company
Benchmarked top Large Language Models (LLMs) on various aspects of Software Development.
Designed, built and maintained a platform of .Net Web Applications and various REST API's that were used by major carriers such as Lufthansa, American, United and Delta Airlines as well as some of biggest GDS's and OTA's such as Travel Port and Priceline.
Software Engineer for the Reliability Department.
Backend .Net Web Development of my university's College of Business and their web platform
Operated Tape Storage Machines
Web-based Audio Mastering Tool for music producers to hear and A/B test how their song will actually sound when it's streamed online.
Contributed to the HLE project as a general STEM expert contributor and senior reviewer.