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Research Scientist / AI Engineer
AI Engineer at University of Utah who built ORACLE, cutting optimization runtime from 85 minutes to 2.4.
United StatesResearch Scientist / AI Engineer at University of Utah
Built ORACLE, an open-source multi-objective reinforcement-learning optimizer, and engineered agentic AI systems with LangGraph, MCP, and LLM evaluation pipelines. Led technical discovery and owned implementations from architecture to deployment.
PythonPyTorchTensorFlowHugging Face TransformersReinforcement LearningLangGraphMCPLLMRAGfastAPIPostgreSQLRedisDockerKubernetesJenkinsAWSSparkLangsmithOpenTelemetryDatadogPrometheusGrafana
Developed Chinese-English Transformer pipelines for NLP tasks and applied model compression and quantization techniques to optimize inference. Built reusable training and evaluation pipelines and benchmarked against baselines.
PythonBERTGPTT5 TransformerNLPTransformersLoRAsPEFTQuantizationModel CompressionPyTorchTensorFlow
Built customer-facing web and mobile applications and engineered backend services for low-latency communication. Developed dispatcher and mechanic workflows and integrated payment and authentication flows.
ReactReact NativeFlutterJavaScriptDartBackend DevelopmentAPI DevelopmentAuthenticationPayment Integration
Pursuing a Ph.D. in Computer Engineering, with ongoing research and coursework.
Completed a Master of Science in Computer Science.
Completed a Master of Science in Information and Communication Engineering.
Completed a Bachelor of Science in Computer Science.