Ben Epstein work email
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Ben Epstein personal email
Staff Engineer, Tech Lead at EvolutionIQ (acquired by CCC Intelligent Solutions). I designed, built, and rolled out our LLM development platform. We went from 0 utilization of LLMs to 100% usage across all product lines in <1 year, leading to significant new revenue streams. This also became the fundamental component of MedHub, our best in class medical insights layer for insurance companies. This, among other initiatives, helped drive our successful acquisition.Previously: Founding Engineer @ Galileo with roots building scalable MLOps systems. Excellent communicator of complex concepts to both technical and non-technical audiences. Passionate leader and motivator of teams.I also consult teams in need of NLP/MLOps/Data strategies, and startups looking to build scalable architectures from the ground up. Reach out on LinkedIn if you are interested. A proponent of Documentation Driven Development for maintaining strong organizational standards across engineering teams.
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Co-Founder And CtoGrottoaiBoston, Ma, Us -
Staff Tech Lead - LlmsEvolutioniq Aug 2024 - PresentNew York, New York, UsContinuing to lead our LLM platform powering all product lines + MedHub, as well as various other initiatives.Acquired by CCC Intelligent Solutions -
Tech Lead - LlmsEvolutioniq Oct 2023 - Aug 2024New York, New York, UsWe're on a mission to help more people get back to work using best in class machine learning techniques.I lead the design, development, and rollout of our LLM platform which now powers 100% of existing product lines and is a fundamental component of our next-generation MedHub product.
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Senior Software EngineerEvolutioniq Jul 2023 - Oct 2023New York, New York, Us
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Meetup HostMlops Community Jan 2022 - PresentBilbao, EsI co-host the bi-monthly MLOps workshops, where open-source contributors and industry leaders showcase amazing MLOps technology in live-coding sessions. https://www.youtube.com/c/MLOpscommunity/videos -
Board Of Data ScienceAi Infrastructure Alliance Jan 2022 - Dec 2023San Francisco, Ca, UsBringing trustworthy resources to the MLOps landscape -
Founding Software EngineerGalileo Aug 2021 - Jul 2023San Francisco, California, UsAt least 80% of our data is unstructured. We're building an intelligence layer dedicated to understanding it. Galileo is working with ML teams from startups to Fortune 500s, across multiple industries.Employee #3, responsible for designing and scaling our ML platform architecture to manage large-scale embedding algorithms across modalities from text-classification to NER to Object detection and counting. -
AuthorO'Reilly Media Sep 2021 - Feb 2022Sebastopol, Ca, UsCo-authored and wrote the O'Reilly report "Accelerate Machine Learning with a Unified Analytics Architecture" https://www.oreilly.com/library/view/accelerate-machine-learning/9781098120313/ -
Adjunct ProfessorWashington University In St. Louis Jan 2021 - Feb 2022St. Louis, Mo, UsAdjunct Professor for CSE427 - Cloud Computing and Big DataDesigned course from scratch to be taught to upperclassmen and graduate students. Content focused on Linux, Docker, Kubernetes, RDBMS, AWS (EC2, S3, EKS, IAM), Spark and Python. -
Machine Learning LeadSplice Machine Sep 2020 - Aug 2021San Francisco, California, UsMachine Learning Lead for Splice Machine and product owner of MLManager, an end-to-end Machine Learning lifecycle management platform https://splicemachine.com/solutions/data-scientists, and our Feature StoreResponsible for:* Roadmapping and prioritization of Machine Learning product development* Technical lead for Machine learning product engineering* Hiring, on-boarding, and management of ML Interns* Machine Learning product marketing via website content and Medium articles* Machine Learning led sales* Machine Learning focused customer success projectsBrought feature store product from concept to market in under 1 year. Offers for purchase within year of market release.https://github.com/splicemachine/ml-workflow -
Machine Learning EngineerSplice Machine Sep 2018 - Sep 2020San Francisco, California, UsDesign and build architecture to streamline Machine Learning model deployment and governance (MLManager)Develop and deploy Machine Learning algorithms for businesses, saving time and money using their existing data.Integrate new Machine Learning libraries and capabilities into Splice cloud infrastructure.Train new businesses on using our scale-out database and data science platform for transactional and analytical data processing.Manage recruiting, hiring, and training for Machine Learning and Data Science Interns.Oversee and lead projects for ML and Data Science Interns, including weekly meetings to ensure deliverables are met, and project management for all data science projects.Contribute to the marketing of the MLManager product, including writing articles, documentation, and creating training videos on YouTube.
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Computer Science Teaching AssistantWashington University In St. Louis Computer Science Department Jan 2016 - Sep 2020Instructed more than 200 students in the fundamentals of Java and computer science using Sedgewick’s Java API and common data structuresAdvance students’ computer science skills with finite state machines, microcontrollers, Arduinos, cross platform communication, and information representation using Java and Arduino CTeach LAMP stack through numerous personal projects such as live chat rooms, AJAX calendars and file sharing sites
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Tlp Data Science InternCiti Jun 2018 - Aug 2018Utilized data science and big data to determine, detect and prevent cyber criminals from laundering money via Point of Sales and Account Takeover attacksAnalyzed decision trees to find features that most accurately predicted fraudulent activity Designed and built multiple machine learning algorithms including Random Forests and Deep Neural Networks using PySpark and H2O to more quickly and accurately detect attacks.Helped migrate team's environment from terminal based execution to Anaconda/Jupyter notebooks for quicker development, debugging and deployment
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Engineering InternSplice Machine Jun 2017 - Aug 2017San Francisco, California, UsSuccessfully merged eleven pull requests into codebase over 3 repositoriesDesigned and built autocompleter for Apache Zeppelin SQL server on Splice MachineCreated JMX MBean server for monitoring and reporting cache and memory data for VisaIncreased Splice Machine’s SQL dialect with support for greater type conversion and conditional statementsDeveloped Python package to support native Java-based Splice Machine connection using Py4J for use in data science and machine learning
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Web DeveloperEngineering Test Kitchen At Washington University In St. Louis Feb 2016 - Feb 2017
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CoderVex Robotics, Inc. Sep 2013 - Apr 2015Greenville, Texas, UsTeam coder. Competed at local and state level. Qualified and competed in World competition with nearly 800 teams
Ben Epstein Skills
Ben Epstein Education Details
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Washington University In St. LouisComputer Science -
Jericho High SchoolHigh School
Frequently Asked Questions about Ben Epstein
What company does Ben Epstein work for?
Ben Epstein works for Grottoai
What is Ben Epstein's role at the current company?
Ben Epstein's current role is Co-Founder and CTO.
What is Ben Epstein's email address?
Ben Epstein's email address is be****@****ileo.io
What schools did Ben Epstein attend?
Ben Epstein attended Washington University In St. Louis, Jericho High School.
What skills is Ben Epstein known for?
Ben Epstein has skills like Java, Computer Science, Leadership, Management, Public Speaking, Programming, Vex, Microsoft Word, Php, Web Development, Javascript, Laravel.
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