Senior Machine Learning engineer
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Seasoned AI/ML Engineer with 7 years of hands-on experience building production-grade models across speech, vision, LLMs, and agentic systems. I have led large-scale AI initiatives at Chevron and Snap, delivering real-time Voice AI, high-accuracy computer-vision pipelines, and enterprise LLM applications used by thousands of users. I fine-tune speech-native models, optimize TTS systems with ONNX/TensorRT/Triton, and design reliable pipelines for both cloud and edge.
I am strong in multi-agent architecture, RAG systems, AIOps, and high-throughput ML services. I mentor engineering teams, drive technical strategy, and build AI systems that improve accuracy, reduce latency, and scale smoothly in real environments.
Data Scientist — Chevron (2018–2020)
Senior Machine Learning Engineer — Chevron (2020–2022)
Lead Machine Learning Engineer — Chevron (2022–2025)
Machine Learning Engineer — Snap (2025)
Bachelor of Science in Petroleum Engineering — The University of Tulsa (2013–2017)
Master of Science in Business Analytics — The University of Texas at Austin, McCombs School of Business (2017–2018)
