Thomas Loh

Staff Software Engineer

Netflix

Lead architecture and engineering across AI/ML, recommendation and personalization, Generative AI, ML platforms, and large-scale data systems. Provide Staff-level technical leadership across architecture, engineering standards, platform strategy, production reliability, and mentorship.

PythonPyTorchTensorFlowSparkKafkaAirflowMLFlowDatabricksVector RetrievalKubernetesAWSMLOpsLLMOpsGenerative AIRAGAgentic AILangGraphLang ChainMCPFeature EngineeringModel ServingMonitoringDrift Detection

Tech Lead, Direct Booking

Sonder

Served as Tech Lead across machine learning, forecasting, optimization, data engineering, and Azure-based ML infrastructure supporting hospitality demand and operational decision-making. Led production engineering using Python, scikit-learn, XGBoost, Spark, Airflow, SQL, Docker, Kubernetes, and Azure.

Pythonscikit learnXGBoostSparkAirflowSQLDockerKubernetesAzureTime series ForecastingDynamic PricingOptimizationAnomaly DetectionFeature EngineeringModel ValidationBacktesting

Senior Software Engineer

Instacart

Built production recommendation, personalization, ranking, predictive modeling, feature engineering, experimentation, and large-scale data-processing systems for e-commerce. Developed ML capabilities using Python, scikit-learn, XGBoost, Spark, SQL, BigQuery, and GCP.

Pythonscikit learnXGBoostSparkSQLBigQueryGCPRecommendation SystemsPersonalizationRankingpredictive modelingFeature EngineeringA B TestingData QualityGKECloud Composer

Software Engineer

Progressed as a Software Engineer across classical machine learning, NLP, information retrieval, recommendation systems, text analytics, and data processing for intelligent content discovery. Built foundational expertise using Python, Java, SQL, scikit-learn, NLP techniques, distributed processing, and AWS.

PythonJavaSQLscikit learnNLPInformation RetrievalRecommendation SystemsText AnalyticsDistributed ProcessingAWSTF IDFTopic modelingClusteringEntity Extraction