Why H2O?

The open source in-memory
Prediction engine for Big Data Science.

Why H2O?Play

Web interface

The open source in-memory
Prediction engine for Big Data Science.


H2O on Hadoop

The open source in-memory
Prediction engine for Big Data Science.


Alex Tellez

Alex comes to H20 as an avid cyclist and practitioner of Machine Learning. He loves applying ML techniques to solve real-world problems His role here is to develop smarter applications using H20 and also empower others to create their own applications in whatever fields they have interest.

When he’s not reading a book on machine learning you can find him browsing Wine Spectator magazine. In his spare time, Alex enjoys the musical stylings of Jay-Z, Justin Bieber, and Justin Timberlake.

Amy Wang

Amy is a math hacker at H2O. She graduated from Hunter College in NYC with a Masters in Applied Mathematics and Statistics with a heavy concentration on numerical analysis and financial mathematics.

Her interest in applicable math eventually lead her to big data and finding the appropriate mediums for data analysis.

Anqi Fu

Anqi is a data hacker at H2O. After completing her undergraduate at University of Maryland, she attended Stanford University. While there she earned her master’s degree in Economics, and a second master’s degree in Statistics. Her interests include machine learning and optimization.


Ariel Rao

Ariel is a data and math hacker intern at H2O. She is currently an undergraduate student at Carnegie Mellon University pursing degrees in Logic & Computation and Computer Science. Her interests include optimizing automated computation and formal verification.


Arno Candel

Arno is a Physicist & Hacker at H2O. Prior to that, he was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world’s largest supercomputers as a Staff Scientist at SLAC National Accelerator Laboratory where he participated in US DOE scientific computing initiatives. While at SLAC, he authored the first curvilinear finite-element simulation code for space-charge dominated relativistic free electrons and scaled it to thousands of compute nodes.

He also led a collaboration with CERN to model the electromagnetic performance of CLIC, a ginormous e+e- collider and potential successor of LHC. Arno has authored dozens of scientific papers and is a sought-after academic conference speaker. He holds a PhD and Masters summa cum laude in Physics from ETH Zurich. Arno was named “2014 Big Data All-Star” by Fortune Magazine.

Brandon Hill

Prior to joining H2O as a hacker, Brandon researched language and hardware co-design at Oracle Labs for ultra-low latency solutions. His graduate work focused on the usage of the R language and the performance of its interpreter.

Prior to getting his Masters from Purdue University, Brandon’s career was focused on HPC and scientific computing for the DoD, DoE, universities, and startups.

Cliff Click

Cliff Click is the CTO and Co-Founder of H2O, makers of H2O, the opensource math and machine learning engine for Big Data. Cliff wrote his first compiler when he was 15 (Pascal to TRS Z-80!), although Cliff’s most famous compiler is the HotSpot Server Compiler (the Sea of Nodes IR). Cliff helped Azul Systems build an 864 core pure-Java mainframe that keeps GC pauses on 500Gb heaps to under 10ms, and worked on all aspects of that JVM.

Before that he worked on HotSpot at Sun Microsystems, and was at least partially responsible for bringing Java into the mainstream. Cliff is invited to speak regularly at industry and academic conferences and has published many papers about HotSpot technology. He holds a PhD in Computer Science from Rice University and about 15 patents.

James Dean

As Director of Enterprise Sales, James is focused on helping H2O grow its machine learning business throughout the world. James was previously SVP, Head of WealthEngine’s Luxury & Financial Services Practice where as a member of the leadership team he managed a consulting and sales team focused on predictive analytics, SaaS research and digital marketing solutions. He also was responsible for maintaining and growing the company’s largest key accounts.

Earlier in his career, James was VP Sales at Institutional Shareholder Services where he developed a new market for its’ corporate governance ratings and analytics business. He spent several years at I/B/E/S, a subsidiary of Thomson Financial where he sold data driven financial analytical solutions and portfolio management software. James resume includes a few other VC backed startups as well. He earned his BS from Northeastern University and Master’s in International Business from Pepperdine University. In his free time he runs marathons, competes in tough mudders and is active in the Boy Scouts.

Jeff Gambera

Jeff is a well traveled DevOps engineer, Jeff has spent time working across many industries and functional roles. Before H2O, Jeff has worked on everything from professional touring with a famous rock band to writing code and procedures for the US Army. Most recently Jeff has focused on Big Data Platforms and DevOps automation. Having worked for several SaaS companies, Jeff brings operational discipline and deep knowledge of systems engineering across the Operations ecosystem. Jeff has designed off-site and international Data Centers as well as built embedded linux systems for commercial deployment, and run 24/7 on call support for several SaaS. Besides being a storage engineer, a network engineer and team focused developer, Jeff also professes a love new things, like Linux containers and especially Docker.


Jessica Lanford

Jessica is a word hacker and seasoned technical communicator at H2O.ai. She brings our product to life by documenting the many features and functionality of H2O. Having worked for some of the top companies in technology including Dell, AT&T, and Lam Research, she is an expert at translating complex ideas to digestible articles.


Josephine Wang

Josephine Wang is the Director of Customer Experience at H2O, makers of H2O, the open source math and machine learning engine for big data. Josephine has 20 plus years experience and success in sales and customer relationship building. She is responsible for all new business development and management of client services for H2O. Prior to H2O, Josephine held key roles at Teradata and SAS where she acquired her passion for analytics and big data.

Previously, Josephine specialized in corporate governance and risk management at ISS and SunGard. She began her career in private client services at Bear Stearns and Co. in New York and holds a BS in Finance from the University of Delaware.

Kendall Harris

Kendall is Director of Operations at H2O. Transferred from Accel Partners, prior to that she gained valuable investor relations experience working at Khosla Ventures and Kleiner Perkins Caufied and Byers. Kendall began her career at BEA systems where she developed the expertise understanding and selling the sometimes difficult ideas and concepts created within the software and venture capital world. Kendall is spearheading our community outreach initiative to further the big data movement and spread the culture of our fast-growing data-driven start-up.

Kendall has been active in the entrepreneur community since graduating from UC Berkeley and has shown particular acumen translating genius. An implementer and a visionary, we are excited to have her as part of the team, a rudder if you will, to keep us focused, and directed, always towards growing the community we serve.

Kevin Normoyle

Kevin, a distinguished engineer, is gifting H2O with his many talents. Kevin has been an eminent design engineer for over thirty years. A few of his successes include acting as Lead engineer and architect for a on-chip interconnect block between the GPU compute engines and the shared memory system in a Fusion architecture CPU+GPU, Lead Architect for the i-series SPARC processor line, and Also worked defining the new memory model between GPU and CPU that is one of the cornerstones for AMD’s new Fusion System Architecture. At H2O, Kevin is focused on giving a great customer experience.

Kevin believes H2O has made something faster, bigger, less inexpensive, and yet more reliable than anything before in this space. Kevin’s biggest accomplishments are his two children who are both away at college. He is passionate in dog agility, Amateur Radio, and climbing. Kevin also receives a huge rush with every big silicon chip project. He has been a part of several teams that pulled together on something long and hard, trying to achieve a definition of “perfection” for an instant in time, and succeeding.

Max Schloemer

Max is the Customer Engagement Manager at H2O. He is responsible for assisting new and existing customers and partners as they interact with all contact points at H2O. His primary mission is to ensure a successful and productive experience for all H2O customers and partners. With over ten years experience in sales and customer account management, Max brings a blend of business acumen, project management skills, and technical experience to the team.

Prior to joining the H2O team, Max held positions with Teradata and Mitchell International. He has experience across many markets, with a focus on enterprise software solutions for Insurance, Medical Billing and Claims Processors, and Capital Markets.

Michal Malohlava

Michal is a geek, developer, Java, Linux, programming languages enthusiast developing software for over 10 years.

He obtained PhD from the Charles University in Prague in 2012 and post-doc at Purdue University.

During his studies he was interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages. He participated in design and development of various systems including SOFA and Fractal component systems or jPapabench control system.

Patrick Aboyoun

Patrick is a math and data hacker at H2O who has made a career out of creating and delivering software and training for data scientists, particularly those who love R, by having worked on Oracle R Enterprise at Oracle, RevoScaleR at Revolution Analytics, Bioconductor at Fred Hutchinson Cancer Research Center, and S-PLUS at Insightful Corporation (now part of the Spotfire division of TIBCO). His most recent employer was Oracle, where he spent 3.5 years using his R expertise to expand the R syntax-driven SQL query generator in ORE and spearheading the effort to leverage the parallel query engine of the Oracle database to create parallel distributed advanced analytics algorithms. Patrick received an M.S. in Statistics from the University of Washington and a B.S. in Statistics from Carnegie Mellon University.


Prithvi Prabhu

Prithvi has over a decade of experience in patterns, practices and programming strategies for building highly interactive, robust, large scale GUI applications. Over the past few years, he has been building data visualization libraries, statistical graphics routines and highly interactive user interfaces for browser-based exploratory visual analysis and communication of massive data sets

Prior to joining H2O, he engineered the high performance data visualization platform and canvas based rendering engine at Platfora and scaled it to render millions of marks. Before that, he founded and built Plot.io, a browser-based visual analytics and data exploration environment that minified down to ~150KB. Plot.io was acquired by Platfora.

Prithvi loves playing around with programming languages, generative art and music production.

Raymond Peck

Raymond comes to H2O after a long and varied career in the startup world. He’s probably best known for being a co-founder of Pure Software where he worked on Purify and Quantify, the first two software development tools to take apart compiled code and enhance it to add error-checking and performance instrumentation.

Since then he lead the engineering team and hacked on live streaming video at major CDN BitGravity / Tata Communications, implemented the back end for voice- and CSR-ordering applications at Jacent, was an engineering project manager at iCommerce. . . and most recently did the customer-facing metadata API at Platfora. Back in the dinosaur days he worked for his one and only large company, LSI Logic, where he was part of a team of 4 which implemented the CPU in the Playstation 1 and PSP. When he’s not typing he can generally be found practicing weird guitar and drum kit in support of his role as member of the Guitar Circle of Europe and Robert Fripp’s Orchestra of Crafty Guitarists.

Spencer Aiello

Spencer is a tall drink of H2O: mysterious and furry. He enjoys long bike rides in the scorching sun. He has no life beyond H2O.


SriSatish Ambati

Sri is co-founder and ceo of H2O (@h2oai), the builders of H2O. H2O democratizes bigdata science and makes hadoop do math for better predictions. Before H2O, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. Before that Sri was Partner & Performance engineer at java multi-core startup, Azul Systems, tinkering with the entire ecosystem of enterprise apps at scale.

Before that Sri was at sabbatical pursuing Theoretical Neuroscience at Berkeley. Prior to that Sri worked on nosql trie based index for semistructured data at in-memory index startup RightOrder. Sri is known for his knack for envisioning killer apps in fast evolving spaces and assembling stellar teams towards productizing that vision. A regular speaker in the BigData, NoSQL and Java circuit, Sri leaves trail @srisatish.

Tom Kraljevic

Tom is VP of Engineering at H2O & key to the magic of engineering & customer happiness. A quintessential team member - Tom is an extraordinary blend of technical genius, customer focus and management by example. Before joining H2O, Tom was Co-founder & CTO at Luminix, where he and the team developed a cutting-edge offline mobile application for Salesforce users. This involved a healthy blend of focusing on the user-experience along with a deep-dive in various technologies. Prior to Luminix, Tom was a Principal Engineer at Azul Systems, where he worked in both the JVM and System Software teams. Tom served as the technical leader for the distributed management application team, appliance security and tools for distributed debugging. Tom’s experience at systems and chip startup companies involved straddling the hardware-software boundary.

Tom led pre-silicon verification infrastructure development for a terabit networking switch fabric chipset at Abrizio (acquired by PMC-Sierra). He also developed architectural CPU simulators, debuggers and toolchains at Chromatic Research (acquired by ATI). Tom got his start in technology at Intel, spending internships and co-ops in both the Portland (MD6) and Santa Clara (MD7) microprocessor design groups. A lesser known fact of Tom: Finding the now-famous Pentium floating-point divide (FDIV) bug while at Intel using the testing harness and methodology he developed (several months before it was independently discovered outside Intel, and subsequently gained worldwide attention). Tom has an MS degree in Electrical Engineering from the University of Illinois (at Urbana-Champaign), and a BSE degree in Computer Engineering from the University of Michigan (at Ann Arbor).

Tomas Nykodym

Tomas is currently in the process of finishing his PhD at Binghamton University. His area of research is behavioral malware detection. He received his undergraduate degree from the Czech Technical University. Tomas has worked at IBM-research and Agent-Technology Group. He has participated on several projects related to malware detection/protection funded by US Air Force. Specifically, he developed a system for modeling software behavior using compressed graphs of the system calls made on the system.

Tomas also created a sandbox with simulated user activity for safe execution of malware with advanced behavior extraction algorithms to extract behavior of malware injected into other processes. Apart from his work, Tomas spends his time mountain biking, skiing, snowboarding, and staying active.

Viraj Parmar

Viraj is currently an undergraduate at Princeton studying applied mathematics. Prior to joining H2O as a data and math hacker intern, Viraj worked in a research group at the MIT Center for Technology and Design. His interests are in software engineering and large-scale machine learning. Apart from work, Viraj enjoys reading, sampling new cuisines, and traveling with his family.


Yan Zou

Yan is the head of product and data science at H2O, committed to building a faster, cheaper, and better machine learning platform for the big data era. She believes such a platform not only empowers every data scientist and analyst but also creates disruptively competitive advantages for enterprises.

Prior to joining H2O, she was the principal data scientist at Marketo, responsible for all advanced analytics and predictive modeling relevant to marketing, sales, and other business problems such as lead scoring, attribution, behavioral analysis, segmentation, customer engagement, churn analysis, etc. The solutions have been used for product development and business growth. Before Marketo, she spent years in the financial services industry, building quantitative models for risk management and portfolio management for large bank and boutique hedge funds. Yan holds a Ph.D. in Engineering Economic Systems and Operations Research from Stanford University.

Scientific Advisory Council

Systems, Data, File Systems and Hadoop



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