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Timothy Spann

Principal Developer Advocate - Milvus - Zilliz

Tim

Youtube Channel: https://www.youtube.com/@FLiP-Stack

See my full details here: https://github.com/tspannhw/SpeakerProfile

Tim Spann is the Principal Developer Advocate for Milvus @ Zilliz, the Big Data Zone leader and blogger at DZone and an experienced data engineer with 15 years of experience. He runs the Future of Data Princeton meetup as well as other events. He has spoken at Philly Open Source, ApacheCon in Montreal, Strata NYC, Oracle Code NYC, IoT Fusion in Philly, meetups in Princeton, NYC, Philly, Berlin and Prague, DataWorks Summits in San Jose, Berlin and Sydney.

Milvus, Unstructured Data Processing, Open Source Vector Database, towhee, Attu, Milvus CLI, Milvus Backup, Milvus Sizing Tool, feder, GPTCache, Hugging Face, Python, LLM, Pytorch, LangChain, RAG, Ollama.

Upcoming Events: Conferences, Meetups, ...

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Timothy Spann's Projects

phoenix icon phoenix

Apache Phoenix / Hbase Spring Boot Microservices

phoneinfoga icon phoneinfoga

Advanced information gathering & OSINT tool for phone numbers.

photon-ml icon photon-ml

A scalable machine learning library on Apache Spark

pibooth icon pibooth

The pibooth project provides a Photo Booth application out-of-the-box for Raspberry Pi and opencv compatible devices

picorpi icon picorpi

Object Detection and Analysis Made easy using Raspberry Pi, Apache Kafka, AWS Rekognition & Docker

pig icon pig

A collection of Pig scripts, samples and tutorials

pipeline icon pipeline

Real-time, End-to-End, Advanced Analytics and Machine Learning Recommendation Pipeline

piwinifi icon piwinifi

A NiFi demo for collecting wifi data from conferences

pixelfed icon pixelfed

Photo Sharing. For Everyone. (WIP - Not recommended for production use)

pixelrnn icon pixelrnn

Accompanying repo for the O'Reilly Article, `Using Tensorflow to Generate Images with PixelRNNs`

pixiedust-facebook-analysis icon pixiedust-facebook-analysis

A Jupyter notebook that uses the Watson Visual Recognition, Natural Language Understanding and Tone Analyzer services to enrich Facebook Analytics and uses PixieDust to explore and visualize the results

playbook icon playbook

A pragmatic, opinionated guide to adopting microservices.

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