I’ve been building AI-heavy systems for voice, audio, and backend platforms for 8+ years, from real-time conversational agents to healthcare assistants and multimodal pipelines. I’ve shipped production-grade voice AI, RAG-based assistants, medical scribes, anomaly detection models, and complex TTS/voice-cloning stacks, and I’m now looking for roles where I can own end‑to‑end AI product infrastructure—architecting, scaling, and hardening systems rather than just prototyping. What sets me apart is the combination of deep, hands-on work with modern AI (LLMs, speech, agents) and strong backend engineering instincts: thinking in terms of latency, reliability, observability, data modeling, and real-world constraints, not just model outputs.
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