I've built Python backend systems and AI-powered SaaS products at DataOps Dynamics, PwC, Nike, and Cloud Allied. My work spans real-time LLM analytics, intelligent virtual agents, ML inference, data platforms, and high-volume REST APIs.
At DataOps Dynamics, I reduced end-to-end LLM workflow latency by 50%, cut onboarding time by 60%, and reduced production inference errors and hallucinations by 55%. I also delivered AWS serverless ML solutions at PwC that reduced compute costs by 30%, and improved request latency by up to 40% for Nike's real-time analytics services.

