Alexy Khrabrov
Community builder · FunctionalTV
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Community builder · FunctionalTV
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A database system that can synchronize all or a part of its contents over a limited bandwidth link is described. The lowest layer of the system, the bedrock layer, implements a transactional block store. On top of this is a B+-tree that can efficiently compute a digest (hash) of the records within any range of key values in O(log n) time. The top level is a communication protocol that directs the synchronization process such that minimization of bits communicated, rounds of communication, and local computation are simultaneously addressed.
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With the growing availability of data within various scientific domains, generative models hold enormous potential to accelerate scientific discovery. They harness powerful representations learned from datasets to speed up the formulation of novel hypotheses with the potential to impact material discovery broadly. We present the Generative Toolkit for Scientific Discovery (GT4SD). This extensible open-source library enables scientists, developers, and researchers to train and use state-of-the-art generative models to accelerate scientific discovery focused on organic material design.
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ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out the talk here: https://youtu.be/bjiW9SqWMA8 James Ward Google Developer Advocate Crested Butte, CO, USA Websitetwitter.com/_JamesWard James Ward is a nerd / software developer who shares what he learns with others though presentations, blogs, demos, and code. After over two decades of professional programming, he is now a self-proclaimed Typed Pure Functional Programming zealot but often compromises on his ideals to just get stuff done. After spending too many sleepless nights in data centers repairing RAID arrays, he now prefers higher-level cloud abstractions with appropriate escape hatches. James is a huge Open Source proponent, hoping to never get burned by lock-in again.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Heather's Keynote here: https://youtu.be/Wjt22ydMHsc Heather Miller Carnegie Mellon University Assistant Professor https://se-phd.isri.cmu.edu/People/faculty%20and%20staff/faculty-bios/miller-heather.html
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Adelbert's talk here: https://youtu.be/-NTSDSK2vOw Adelbert Chang Target Lead AI Engineer twitter.com/adelbertchang Adelbert Chang is an engineer at Target where he works on deployment infrastructure for the AI Engineering team. Previously he worked at U.C. Santa Barbara doing research in large-scale graph querying and modeling, and in industry on machine learning systems, rule engines, and developer tools. Recently he has been exploring the intersection of functional programming and system design. He is an active open source contributor, speaker, and writer for projects spanning the areas of functional programming, type systems, graph analysis, tooling, and infrastructure. He received his Computer Science degree through the College of Creative Studies at U.C. Santa Barbara in 2014.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out the talk here: https://youtu.be/hLm_duqB3Y4
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Umayah's talk here: https://youtu.be/dC-bjpQjc_I Umayah Abdennabi Grammarly Software Engineer twitter.com/sudohalt Umayah is a software engineer on the data team at Grammarly where he works on an internal data analytics platform.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Thomas' talk here: https://youtu.be/Joo16FLjOZs Thomas Gerber Salesforce Director of Engineering twitter.com/thomas_gerber
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Ajit's talk here: https://youtu.be/qyzVWq1aSUg Ajit Koti Netflix Senior Engineer Los Gatos Ajit Koti is a Senior Engineer on the Growth Data Engineering team at Netflix, building and architecting large-scale distributed systems and real-time data processing engines. Ajit has worked previously at Fanatics, IBM Labs, J P Morgan and has extensive experience in building distributed services and databases. Ajit is also an avid gamer and in his spare time likes to play RPG Games.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Yifan's talk here: https://youtu.be/Da693GN91C4 Yifan Xing Software Developer Yifan is a software engineer, ScalaBridge organizer, and open-source contributor. Her work involves many distributed systems related topics, including network protocols, consensus, network security, etc. Yifan contributed to the message queue systems and asynchronous APIs for a Scala open source project Shared Health Research Information Network (SHRINE) at Harvard Medical School.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Prashant's talk here: https://youtu.be/f9aJ4cnio1M Prashant Sharma IBM System Software Engineer twitter.com/prashsh1
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Erik's talk here: https://youtu.be/2iHpe_woktA Erik Reppel Coinbase ML Platform Engineer San Francisco, CA Erik Reppel is an engineer on the Machine Learning and Platform team at Coinbase where he primarily works on improving the quality of ML tooling and deploying ML models at scale.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Alexander Ioffe Nasdaq Senior Scala Evangelist https://twitter.com/deusaquilus
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Justin's talk here: https://youtu.be/kVnJtiN1dbk Justin Heyes-Jones YoppWorks Software Developer Vancouver https://yoppworks.com/ Justin is a Scala and pure fp fanatic
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Richard's talk there: https://youtu.be/Lh9zuDvVhoc Richard Whaling M1 Finance Lead Data Engineer twitter.com/RichardWhaling
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference For more content like this: SBTB-23 is back in person! bay.news/tickets Nov 13-15, Oakland. LLM workshop; AI, Data & Cloud software engineering.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out Bryan's talk here: https://youtu.be/TM9h89Vo_Qo
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- Learn more about the upcoming Scale.bythebay 2019 featuring a full lineup of the industry's best minds. See the program and speaker lineup at scale.bythebay.io.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- Manasi Vartak is the founder and CEO of Verta.ai (www.verta.ai), an MIT-spinoff building software to enable high-velocity machine learning. Manasi previously worked on deep learning for content recommendation as part of the feed-ranking team at Twitter and dynamic ad-targeting at Google. Conrado Miranda is the CTO at Verta.AI. Conrado has a PhD in Machine Learning and a focus on building platforms for AI. He was the tech lead for the Deep Learning platform at Twitter’s Cortex, where he designed and led the implementation of TensorFlow for model development and PySpark for data analysis and engineering. He also led efforts on NVIDIA’s self-driving car initiative, including the Machine Learning platform, large scale inference for the Drive stack, and build and CI for Deep Learni
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- Stepan Pushkarev is a CTO of Hydrosphere.io - Model Management platform and co-founder of Provectus - an AI Solutions provider and consultancy, a parent company of Hydrosphere.io.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- [Swift fo TensorFlow is covered in several talks at https://scale.bythebay.io, Bay Area, November 14-15, 2019.] Eugene Burmako ([contact redacted]) is working on Swift for TensorFlow at Google AI. Before joining Google, he made major contributions to Scala at EPFL and Twitter, founding Reasonable Scala compiler, Scalameta and Scala macros. Eugene loves compilers, and his mission is to change the world with compiler technology. Alex Suhan ([contact redacted]) is also working on Swift for TensorFlow at Google AI. He has been using LLVM to accelerate machine learning and data analytics workloads for the last five years. Alex enjoys working at the interface between software and various hardware accelerators. Our work is the result of discussions and collaboration with many folks
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- Magnus Rønager Site Reliability Engineer at Tradeshift
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- Bill Venners is president of Artima, Inc., provider of Scala consulting, training, books, and tools. He leads the open source projects for the ScalaTest testing library and the Scalactic library for functional, object-oriented programming. He is coauthor with Martin Odersky and Lex Spoon of the book, Programming in Scala. And he is a community representative on the Scala Center's Advisory Board.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- Omar Alonso is a Principal Applied Scientist with Microsoft where he works on the intersection of information retrieval, social data, human computation, and knowledge graph generation. He is the co-chair of the Human Computation and Crowdsourcing track at WWW'19 and on the organizing committee for HCOMP'19.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- Jianneng Li Workday Software Engineer San Mateo, CA Jianneng is a software engineer specializing in distributed systems and data processing. He works at Workday on Prism Analytics, leveraging Apache Spark to build an end-to-end data analytics solution that helps businesses better understand their financial and HR data.
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