At Cavisson Systems, I build application monitoring and diagnostic capabilities across C/C++, Python, SQL, .NET instrumentation, and socket-based agent–proxy communication. I've implemented SQL sanitization, heap-dump transfer, thread-leak functionality, and stress-testing features including CPU bursts, memory leaks, and application kill.
I've also evaluated AI-generated coding, reasoning, mathematics, writing, and multimodal outputs for DataAnnotation, designing prompts and rubrics to assess model accuracy and robustness. Through projects including GalaxyClass and JobSwift, I've applied deep learning, generative AI, Vertex AI, PaLM, and Streamlit to galaxy classification and AI-powered career guidance.
