Organização/Local de trabalho
San Francisco Bay Area United States
Statistical Learning Principal at Machine Zone, Inc.
I have diverse experience in statistical and machine learning, time series analysis, data-driven mobile marketing, software development, and hardware design. I have a strong publication record and am a strong advocate of open source. Have built a team of exceptional researchers from the ground-up. An effective communicator and deft at working with cross-functional teams in different geographies. Seasoned architect with exceptional deep dive analysis skills in both hardware & software and with extensive experience in R&D of novel techniques, based on statistical learning and time series analysis, to address end-user experience/revenue impacting problems. Highly passionate about building...
anomaly detection deep learning time series statistical learning algorithms live data data sketches streaming systems scalability stream processing sequence learning correlation low latency machine learning statistics real-time big data forecasting cloud computing attention-based models apache pulsar streaming applications lstm satori robust performance twitter capacity planning space-time tradeoff battery-constrained healthcare ai speed-accuracy tradeoff edge computing stateful computation serverless performance accuracy trade-off jiffy durability model serving real time analytics neural networks common representation learning multimodal smart cities computer vision decision making pulsar bookeeper heron storage messaging missing data analytics clustering statistical leaning breakouts anomalies papacity planning #velocityconf #capacityplanning #performance #fore statistical analysis fail whale qcon elasticity monitoring garbage collectionVer mais
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