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 H2O 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 H2O 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.

Allison Washburn

Allison is an Executive Assistant at H2O. Her background consists of mostly Private Equity and Venture Capital, so she brings a more structured and systematic approach to the dynamic chaos of a true start-up.

She holds a BS Degree from the University of Oregon - where she grew up - and when she became tired of the rain, she moved to beautiful and sunny California, where she takes advantage of the warmer climate year-round. She is a wine enthusiast and a closet artist who in her free time enjoys cooking, riding horses, spending time with her family and basically anything that involves being active outdoors.

Amy Wang 2

Amy is a member of the Marketing Operations team at H2O.ai. Amy Wang #2 is the second Amy Wang employed at H2O and a USC Trojan. Once, she tried to email the other Amy and accidentally emailed herself instead. She is an avid sports fan and mediocre trumpet player.


Amy Wang

Amy is a math hacker at H2O, as well as the Sales Engineering Lead. 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.

Anisha Arora

Anisha is a software intern who is a senior at Cupertino High School. She enjoys programming and is interested in machine learning. She likes to swim, play the piano and violin, and tutor in science and math subjects at her school.


Anqi Fu

Anqi is a math hacker at H2O, where she implements and tests distributed machine learning algorithms. Anqi worked on network security algorithms with the founder of RioRey, and spent summers conducting physics research at the Naval Research Laboratory and NIST. Anqi holds Master’s degrees in Statistics and Economics from Stanford University, and a Bachelor’s in Electrical Engineering from the University of Maryland, College Park.


Arno Candel

Arno is the Chief Architect of H2O, a distributed and scalable open-source machine learning platform. He is also the main author of H2O’s Deep Learning. Before joining H2O, Arno 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 and collaborated with CERN on next-generation particle accelerators.

Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He has authored dozens of scientific papers and is a sought-after conference speaker. Arno was named “2014 Big Data All-Star” by Fortune Magazine. Follow him on Twitter: @ArnoCandel.

Avni Wadhwa

Avni is an Analytics and Marketing Hacker at H2O.ai. She graduated from the University of California, San Diego with a B.S. degree in Management Science. She does a mix of marketing and sales engineering at H2O.ai In her free time she loves doing yoga and running.


Brandon Hill

Brandon is our Director of Customer Engineering. 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.

Charlene Windom

Charlene is our Office Manager, keeping the office running smoothly and everyone well fed. She comes to us from the healthcare industry where she assisted with new employees and payroll. In her spare time, she likes to read, watch movies and spend time with her family, and pin things on Pinterest.


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.

Eric Eckstrand

Eric is a Quality and Performance Hacker at H2O.ai. Eric has formal education in computer science and systems engineering. Prior to joining H2O, Eric was a submariner in the US Navy. His roles included Reactor Controls Assistant and Communications Officer (USS Pittsburgh SSN-720) and Submarine Operations Officer (Destroyer Squadron One). At H2O, Eric hopes to ensure a level of quality that would make Hyman Rickover proud.


Erin LeDell

Erin is a Statistician and Machine Learning Scientist at H2O.ai. She is the main author of H2O Ensemble. Before joining H2O, she was the Principal Data Scientist at Wise.io and Marvin Mobile Security (acquired by Veracode in 2012) and the founder of DataScientific, Inc.

Erin received her Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley. Her research focuses on ensemble machine learning, learning from imbalanced binary-outcome data, influence curve based variance estimation and statistical computing. She also holds a B.S. and M.A. in Mathematics.

Hank Roark

Hank is a Data Scientist & Hacker at H2O. Hank comes to H2O with a background turning data into products and system solutions and loves helping others find value in their data. He has a deep background in the the application domains of telematics, remote sensing, logistics, manufacturing, agriculture, and the Internet of Things.

Before becoming passionate about machine intelligence, Hank managed international software teams and worked as IT consultant. In his spare time Hank likes to read non-fiction, make photographs, and compete in data science challenges. Hank has an SM from MIT in Engineering and Management and BS Physics from Georgia Tech.

Jeff Cramer

Jeff joined H2O as a Senior Director of Sales and has a passion for disruptive & emerging technology. He brings almost 20 years (!) of open source software sales experience. Prior to H2O Jeff held various sales leadership positions at MongoDB and was their first sales executive on the East Coast. Jeff also managed the enterprise sales team for Alfresco which is an open source content management platform and was one of the first sales executives at JBoss where he ran the financial services vertical.

When not on a plane or visiting customers, Jeff plays competitive soccer and enjoys watching English Premier League Soccer and has yet to pick a “team”.


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 the Community Director at H2O. Prior to transferring from Accel Partners, 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.

Marc Mastrocola

Marc is experienced in helping companies build a sales and marketing foundation that is both scalable and automated by using sophisticated marketing automation and CRM tools. Having previously run the sales and marketing operations of a successful SaaS startup previously known as Semantria (now Lexalytics, Inc. - acquired in 2014), he joined H2O.ai to begin a new challenge.

What he really does is build a kickass demand generation funnel, which increases user acquisition, and improves pipeline conversion at key points. He favors a system-oriented process, meaning if you can’t show him metrics, your system probably isn’t working. In his spare time, Marc enjoys being active - whether it’s doing activities outdoors, going to the gym, or sports. He’s a practicing guitarist and a self proclaimed foodie. He enjoys reading, is a Netflix binger, and a glass half full kind of guy.

Mark Landry

Mark Landry is a competition data scientist and product manager at H2O. He enjoys testing ideas in Kaggle competitions, where he is ranked in the top 100 in the world (top 0.03%) and well-trained in getting quick solutions to iterate over. Most at home in SQL, he found H2O through hacking in R. Interests are multi-model architectures and helping the world make fewer models that perform worse than the mean.

Matt Dowle

Matt is the main author of the data.table package in R. He has worked for some of the world’s largest financial organizations: Lehman Brothers, Salomon Brothers, Citigroup, Concordia Advisors and Winton Capital. He is particularly pleased that data.table is also used outside Finance, for example Genomics where large and ordered datasets are also researched.

Matt has been programming in S/R for 15 years, knows C pretty well and holds a first class BSc in Applied Maths and Computing from Warwick University, U.K.

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.

Nadine Hussami

Nadine is a math hacker intern at h2o. She is a PhD student at Stanford University. Her main research interests include statistical learning and convex optimization. Before Stanford, she worked as an algorithm development engineer at Bina Technologies. She holds a Master’s degree from Stanford in Electrical Engineering. When not at work, she enjoys playing the piano, running and swimming.


Nancy Jordan

Nancy is the HR and People Manager at H2O. She brings extensive human resources experience in small to medium companies. Nancy enjoys working with employees to ensure they are well educated on benefits, policies, and overall happy with the company. She understands “getting her hands dirty” is part of a growing company, and is always willing to pitch in where needed.

Neeraja Madabhushi

Neeraja is the Director of Quality Engineering at H2O.ai. Having worked on complex technologies, she is committed to releasing quality-rich and reliable H2O product.


Nick Martin

Nick is a Data Scientist at H2O and spends most of his time working alongside customers to develop data products. Prior to H2O he spent several years building Hadoop-backed data science capabilities in healthcare and finance and worked on some interesting projects with DoD and affiliated agencies.

When he’s not neck-deep in customer data he’s having adventures with his wife and two kids. He basically only reads Foucault and really only listens to Circa Survive.

Nishant Kalonia

Nishant is an undergraduate machine learning hacker intern at H2O. He is currently finishing his last year in pursuing a degree in Computer Science and Applied Mathematics at UC Berkeley. He is an avid learner, and doesn’t like to leave any stone unturned when diving into new fields. When not at work or at class, Nishant can be found hiking, volunteering at animal shelters, or experimenting in the kitchen

Oleg Rogynskyy

With over 8 years of experience in NLP and 3 text analytics startups under his belt, Oleg Rogynskyy is always at the forefront of text mining technology. Oleg’s specialty is predicting what the next big thing will be, and making it happen before anyone else. In 2011 he founded Semantria, a cloud-based text analytics provider, with the intent of bringing NLP technology to non-technical users.

After three years of triple-digit growth, Semantria became world’s largest NLP cloud and was acquired by Lexalytics on July 1, 2014. Oleg is also a mentor at Stanford StartX and FounderFuel, helping the next generation of entrepreneurs to found successful startups.

Parag Sanghavi

Parag is Head of Customer Success at H2O. His primary mission is to ensure that customers are successful with H2O and he is driven by the philosophy that delighted customers buy more and tell others to do the same! Parag was previously a Senior Manager of Customer Success at AppDynamics where he managed a group of technical architects and solution engineers to ensure adoption of the AppDynamics Application performance management platform. He was also responsible for maintaining and growing the company’s largest key accounts.

With over sixteen years of experience in customer account management, Parag brings a blend of business acumen, project management skills, and technical experience to the team. Parag has an BE in Electronics Engineering from Mumbai University and a MBA degree from University of California, Los Angeles - The Anderson School of Management. In his free time he likes to play squash, go swimming with his 2 year old son, and sleep if he can get some.

Prithvi Prabhu

Prithvi is a User Interface Hacker at H2O.ai. 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 as the Director of Product Engineering 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.

Stacie Spreitzer

Stacie is a Customer Engagement Manager at H2O and is responsible for the business development efforts leading to the acquisition of new customers. Stacie has 10 years’ experience in business development and client relations. Prior to joining H2O, she was the Senior Business Development Officer at WealthEngine, a predictive analytics and marketing solutions firm. In her free time, Stacie enjoys going on beach vacations, hanging out with her family, and reading.


Tom Kraljevic

Tom is VP of Engineering of Customer and Pre-Sales 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 our resident Software Engineer. He received his Masters 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.

Vinod Iyengar

Vinod comes with over 7 years of Marketing & Data Science experience in multiple startups. He was the founding employee for his previous startup, Activehours , where he helped build the product and bootstrap the user acquisition with growth hacking. He has seen the user base for his companies grow from scratch to millions of customers. He’s built models to score leads, reduce churn, increase conversion, prevent fraud and many more use cases.

He brings a strong analytical side and an metrics driven approach to marketing. He is responsible for all of our demand generation and growth efforts. When he is not busy hacking, Vinod loves painting and reading. He is a huge foodie and will eat anything that doesn’t crawl, swim or move.

Scientific Advisory Council

Systems, Data, File Systems and Hadoop




2307 Leghorn St
Mountain View, CA 94043
(650) 227-4572
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