Vincent Granville Email and Phone Number
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Full-stack entrepreneur with multimillion-dollar exit. Founder and Chief Scientist at MLtechniques.com & GenAItechLab.com, a private research lab developing ground-breaking GenAI, LLMs, synthetic data, and better ML optimization techniques. Author (Wiley, Elsevier). Creator of open-source Python libraries / Web APIs such as xLLM and GenAI-Evaluation. Builder of high performance in-memory agentic multi-LLMs for professional users and enterprise, with real-time finetuning, self-tuning, no weight, no training, no latency, no hallucinations, no GPU. Made from scratch, leading to replicable results, leveraging explainable AI, adopted by Fortune 100. With a focus on delivering concise, exhaustive, relevant, and in-depth search results, references, and links. Vincent is a leading expert, mathematician, patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent also founded and co-founded a few startups, including one with a successful exit (Data Science Central acquired by Tech Target). He is also a top influencer for brands such as Nvidia, SingleStore, and The Linux Foundation.
Bondingai
View- Website:
- bondingai.io
- Employees:
- 6
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Chief Ai Architect And Co-FounderBondingaiKirkland, Wa, Us
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Co-FounderStealth Ai Startup Nov 2024 - PresentSan Francisco, UsGenAI platform based on xLLM, the game-changing technology that started the LLM 2.0 revolution. Boosting productivity, automating tasks, delivering ROI at scale to Enterprise customers. Without GPU, hallucinations, security issues, or latency. With zero weight, real-time fine tuning, exhaustive but concise results, customizable relevancy scores, and a modern UI - not just a prompt box. -
Founder, Ai DisruptorGenaitechlab.Com Sep 2023 - PresentSeattle, Wa, UsBuilding better, faster, and less expensive GenAI products with explainable AI, such as NoGAN (data synthesizer). Key product: xLLM, a fast in-memory agentic multi-LLM system built from scratch, with zero weight, no training, no latency, no hallucination, fully contextual from the ground up, with real-time fine-tuning. For scientific or enterprise search, as well as clustering and predictions. Also, builder of the best model evaluation metric on the market. -
Genai & Llm ConsultantAb Inbev Apr 2024 - Sep 2024Leuven, BeHelping Fortune 100 company InBev implement my xLLM technology as an alternative to OpenAI and LangChain to boost relevancy (hallucination-free), reduce latency, and increase speed by several orders of magnitude, while increasing security via sub-LLMs accessible to authorized users only. Offering a better solution for search and cataloging, to help users navigate their corporate repository. With a focus on concise but exhaustive results (via augmentation) and specialized sub-LLMs. Local implementation without external API calls. -
Chief Ai ScientistMltechniques.Com Apr 2019 - Jan 2024Issaquah, Wa, UsAI optimization research lab, developing state-of-the-art technology with a focus on high quality and fast algorithms, thus cost effective. Our GenAI Web APIs are accessible on GenAItechLab.com. Covering synthetic tabular data, artificial DNA sequences, time series & geospatial data generation, agent-based modeling, synthetic graphs, and customized LLMs. -
Executive Data Scientist, Co-Founder, Managing PartnerData Science Central May 2008 - Mar 2020Issaquah, Wa, UsThe company was acquired in 2020. I am still a contributing author. -
Machine Learning ConsultantMicrosoft Jan 2012 - Jun 2012Redmond, Washington, UsDeveloped a strategy to collect the right data and detect minuscule change points in time series associated with KPI's (when the changes occur, their amplitudes and directions). Goal: assessing the impact of events influencing core metrics. Example: changing the definition of a website user resulting in shift in user count, or changing some features on Bing.com resulting in increase / decrease in pageviews. These were blind tests: I did not know when the website changes were made. But when I detected a change, it was matched against known events that took place at the time flagged by my algorithm as "change point". I designed and then helped automate this algorithm. -
Chief ScientistLooksmart Apr 2010 - Mar 2012El Segundo, Ca, UsOptimizing advertising campaigns, Ad arbitrage. Projects and technology include:• Created list of top commercial keywords accounting for 85% of all pay-per-click revenue• Leveraged Google API's to automatically find millions of high yield keywords • Automated taxonomy creation (NLP) • Click fraud detection (click jacking and Botnet detection)• Internet traffic quality scoring using hidden decision trees • Automation of keyword bidding • Reverse engineering Google keyword pricing algorithms, for ad arbitrage -
Data Science ConsultantEbay Sep 2009 - Dec 2009San Jose, Ca, UsKeyword pricing optimization. Improving keyword bid pricing algorithm to update bids on millions of keywords purchased on Google AdWords. Automated daily updates. Setting bids for large tail of keywords with no conversion history, based on aggregation methods (NLP). Detection of new keywords. -
Chief ScientistAdometry (Acquired By Google) May 2008 - Aug 2009Mountain View, Ca, UsBuilt scoring system to measure traffic quality associated to keywords and publishers, for keyword ad networks, search engines, or advertisers (the customers). Scores were used for fraud detection, removal of bad publishers and keyword pricing. Detected major Botnets. Developed proofs of concept, attracting Looksmart and eBay as customers. -
Co-Founder And Chief Science OfficerAuthenticlick Jun 2006 - May 2008UsVC-funded startup. Prototyped automated bidding and click/keyword scoring solutions for search engines, ad networks and advertisers. Worked with the engineering team to implement HDT (hidden decision tree) algorithms. Worked on score standardization and IP blacklist/whitelist architecture. Developed patent-pending statistical technologies and other intellectual properties. Presented at Ad-Tech and the American Statistical Association conferences. Helped win several deals (Microsoft, Turn.com) against large competitors (including Fair Isaac), through proof-of-concept blind tests. Identified major Botnet. -
Data Mining, And Click Fraud ExpertInfospace Jan 2005 - Jun 2006Bellevue, Washington, UsClick scoring technology, query intelligence, web analytics, business intelligence related to mobile search. Designed click fraud detection algorithms to process billions of clicks. Created rule selection and rule discovery system for fraud detection, based on machine learning (unsupervised clustering), design of experiments, robust cross validation and linkage with external data sources (Google search results) to discover additional fraud patterns. Enhanced keyword taxonomies using data driven algorithms to detect keyword associations. Defined and tested metrics for keyword correlations. Developed multi-threaded web crawler to feed text mining algorithms with rich, targeted data sources related to local search and / or yellow pages. -
Data Mining ConsultantWells Fargo Jun 2004 - Nov 2004San Francisco, California, UsDetected abnormalities in traffic monitoring systems resulting in a major fix in the Tealeaf reporting system. The bug resulted in visitors and web session statistics to be wrong for all big vendors relying on multiple servers, with visitor session data collected across multiple servers broken down by error in multiple sessions / multiple users. -
Senior Fraud ConsultantVisa Feb 2003 - May 2004Foster City, California, UsDeveloped proprietary feature selection system (200x faster than SAS Enterprise Miner) to detect first instances of fraud and horizontal (single ping) fraud in real time. Production of US zip code maps showing fraud simultaneously in the time, location, recency and volume dimensions. SAS, Perl, C, R, Splus. -
Senior StatisticianCnet Jun 1996 - May 2002San Francisco, Ca, UsWeb analytics. Attribution modeling using time series techniques. Inventory forecasting (NBCi). Price elasticity modeling. Web scraping. Advertising mix optimization for both NBC Internet (NBCi) and CNET. Customer profiling. User retention, churn, survival models. Data Warehousing. Web traffic forecast (with automated alarm system to notify product managers of traffic abnormalities). Automating production of various reports (dashboard, quarterly reports for financial analysts). KPI design. -
Research FellowNiss Jul 1995 - Jun 1996Washington, Dc, UsEnvironmental statistics. MCMC. Hierarchichal Bayesian models. Clustering. Storm modeling (time series, spatial processes). Hanford nuclear reservation: risk analysis using space / time models to detect radioactive leakage into the nearby Columbia river (funded by the EPA.) Simulation of bivariate exponential distributions.
Vincent Granville Skills
Vincent Granville Education Details
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University Of CambridgeComputational Statistics -
Université De NamurMathematics
Frequently Asked Questions about Vincent Granville
What company does Vincent Granville work for?
Vincent Granville works for Bondingai
What is Vincent Granville's role at the current company?
Vincent Granville's current role is Chief AI Architect and Co-Founder.
What is Vincent Granville's email address?
Vincent Granville's email address is vi****@****ral.com
What is Vincent Granville's direct phone number?
Vincent Granville's direct phone number is +192575*****
What schools did Vincent Granville attend?
Vincent Granville attended University Of Cambridge, Université De Namur.
What are some of Vincent Granville's interests?
Vincent Granville has interest in Mathematics, Information Retrieval, Data Science, Data Intelligence, Map Reduce, Predictive Analytics, Data Analysis, Startup Advice And Strategy, Education, Startup Founders And Entrepreneurs.
What skills is Vincent Granville known for?
Vincent Granville has skills like Analytics, Data Mining, Big Data, Predictive Modeling, Predictive Analytics, Data Analysis, Machine Learning, Business Intelligence, R, Web Analytics, Sas, Business Analytics.
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