I am a AI/ML Developer, System Architect and Data Analyst specializing in the intersection of computational logic and complex signal environments. My work is rooted in an extensive foundation of high-level signal processing and systems integration.
Currently, I am applying this history of master-level systems thinking to build resilient software solutions and NLP models at Columbia University.
Engineered a 24-stringed instrument integrated with Artificial Intelligence and generative algorithms.
Developed a conversational AI agent using Natural Language Processing to simulate therapeutic dialogue.
A technical case study in system integration combining acoustic input with a fully digital pipeline.
Developed predictive models and analyzed complex datasets using Python, Pandas, and Scikit-learn.
Built a scalable backend with Python/Flask for a cryptocurrency concept. Awarded "Total Winner."
Built a front-end application in React featuring complex state management and data-driven logic.
My skill set is built on a foundation of clean, testable, and efficient code and the belief that software should be a living architecture.
Beyond pure logic, I seek the aesthetic of utility: building resilient systems that breathe with practical purpose and provide a seamless human impact. Every project is approached with the analytical rigor of a researcher and the sculptural precision of an engineer, ensuring that every line of code is as vital and healthy as it is high-performing.