Before founding Scaled Inference, Olcan was an engineer in Google Brain, where he worked on efficient inference methods for general-purpose statistical models and task-specific adaptations that can utilize deep learning. Early on at Google Olcan led several core platform projects that now power virtually all major Google services including Web Search. He later developed the on-demand statistical analysis system that powers Google Trends and subsequently spent many years working on web-scale statistical inference systems at Google Research while also studying AI at Stanford (MS) and UC Berkeley (PhD). Prior to joining Google, Olcan built a popular (10M+ pageviews/month) music search engine and a web analytics platform as side projects during his undergraduate studies at Washington University in St. Louis, where he graduated valedictorian with a BS in Computer Science. Olcan is also an avid tennis player who rates himself “a solid 4.0-4.5” on the NTRP scale.
Tawny has over a decade of experience in Operations, Human Resources, Management, and Administration. Most recently she was Office Manager for the US Investments, Public Relations, and Investor Relations departments at Alibaba Group. Prior to that Tawny was the VP of HR & Administration, responsible for virtually all administrative functions, at Seasons Capital Management and their spin-off Inflection Asset Management. Tawny has a BS in Business Management from University of Arizona and an MA in Marriage and Family Therapy from Saint Mary’s College. She also enjoys yoga, cooking, traveling, and spending time with her family.
Lead Systems Engineer
Most recently Ajay was a research scientist at Intel, where he worked on prolonging Moore's Law using large-scale computational imaging solutions combining algorithms from machine learning, computer vision, image processing, and high-performance computing. He holds a B.Tech in Electrical Engineering from the Indian Institute of Technology, Madras and a Ph.D. in Computer Engineering from Princeton University. He spends his spare time experimenting with his 3D printer and hacking away on embedded linux boards. He also shares an avid interest in robotics and has built several analog neural network based quadrupeds.
Head of Inference & Engineering
Huan-Kai works generally on machine-learning, from theory to application. He holds a PhD in Electrical and Computer Engineering from Carnegie Mellon University. His research includes Deep Learning, Manifold Clustering, and Probabilistic Graphical Modeling. He worked with a variety of data modalities, such as social media, mobile sensory data, CMOS manufacturing, text, image, and financial data. Once intended to become a professional hip-hop dancer, Huan-Kai now enjoys playing ukulele, cooking steak, and making wine.
Lead Inference Engineer
Joey graduated from Carnegie Mellon with a BS in Computer Science and a minor in Machine Learning. During his studies he completed internships at Audience, NREC, BigML, and Sift Science, where he spent two summers working on core backend and mobile systems along with machine learning model testing. Outside of work, Joey was a varsity swimmer in college and four-year letter winner. He now spends his free time on dry land -- bouldering, powerlifting, and playing ping-pong.
Before joining Scaled Inference, Pavel worked at Palantir Technologies on their data integration tools. A prior transplant from the academic world, Pavel attended Jacobs University Bremen, Germany as a postdoctoral fellow in Electrical Engineering studying space-time coding schemes for massive multi-user wireless communications, and in Mathematics, researching fundamentals of stochastic time-frequency analysis that seemed to almost violate the Heisenberg uncertainty principle, but actually didn't. Pavel has not found a book he doesn't like, but his greater passion for traveling leaves Pavel with little opportunity to rustle pages in peace.
Inference Frontend Engineer
Yanpu holds a B.E in Microelectronics from SUN YAT-SEN University and recently graduated from Cornell University with a MPS in Information Science where he spent most of his time on interactive technology and web development. He is attracted to fancy and cool user interfaces, which has inspired him to become a coder who designs and builds his own fancy applications. In his spare time he tinkers with DIY projects and painting.
Walter has been developing software in Silicon Valley for a couple of decades. Most recently he was at Reflektion, a startup providing click stream based online product recommendations for online retailers. Before that he was at Edmodo, a startup providing a safe social network to complement classroom teaching. Before that he was a software engineer at Google, where he worked on optimizing performance of the 'did you mean' spelling servers. Walter received his PhD in mathematics from Stony Brook University, specializing in differential geometry, and was an academic for a couple of years until he saw the light and became a software developer. Reading books has been a lifelong source of enjoyment, and when he travels he seeks out used book stores. He enjoys his ongoing recreational activities, which include tap dancing, jumping rope, and sweep rowing. Every so often he'll try out a new activity, the most recent being indoor sky diving.
Most recently, Vijay was working on the Machine Intelligence team at Yik Yak, where he wrote a user recommendation system based on learned representations of users. Vijay holds a BS in Mathematics from CMU, where he worked on query expansion and active learning for text classification. In his free time, he loves listening to live music, being outside (ultimate frisbee, hiking, and swimming), and having deep discussions about simple things.
Inference Operations Engineer
Po has been working in infrastructure engineering, operations and scaling challenges for 10+ years. Most recently he was at a social mobile dating company. Before that he was at HotelTonight. Prior to that he was on the Site Reliability team at Facebook. Po received his Bachelor of Science in Electrical Engineering and Computer Science from University of California at Berkeley. He enjoys his ongoing recreational activities, which include kung fu, reading, yoga, hiking, skydiving, and flying.
Inference Systems Engineer
Yuval holds an MSc from the Technion in Haifa Israel. Before joining Scaled Inference he was in start-ups like Quixey and Box and bigger companies like Google, Intel, and Microsoft. Focusing on back-end, algorithms, and data processing. In his spare time he enjoys watching movies.
Inference Frontend Engineer
Steve has been crafting mobile and web applications for over 10 years. Recently, he consulted as a trainer in Java, React, Ember 2, and Angular 2 while setting up a courseware company. Prior to consulting, he was a Systems Analyst at State Farm and spent 10 years as a building Architect. Steve has a Masters of Science in Computer Science from the University of Illinois as well as a Bachelors in Architectural Studies. Steve enjoys cooking Spanish-infused dishes as well as time outdoors with his family.
Ritz graduated from Cornell with a concentration of hci. She’s fascinated by the creative process of design and interested in making technology enjoyable to use. Her passion lies in UI and UX and being a designer provides her with an opportunity to both listen to users and provide recommendations for product improvement that will assist both users and the business.
Monica graduated from Sacred Heart University with an MS in Organizational Psychology. She also holds a BA in Psychology, as well as AA degrees in Communications and History. She has a penchant for organization and task management which stems from nearly a decade of experience in both personal and executive assistant roles, most recently with a venture capital firm. In addition, she is a holistic wellness enthusiast with a love for barre fitness, and an affinity for healthy foods (and doughnuts!). In her spare time Monica enjoys attending comedy shows and music festivals. She holds a place in her heart for all animals, and has 'never met a dog she didn’t instantly love!'
Head of Commercialization
Dylan leads commercial efforts for Scaled Inference. Previously, Dylan was VP of Business Development for Skytree, an innovator in automated, enterprise grade machine learning software. He developed Skytree’s global partnership program, engaging with leading technology innovators, solution integrators and resellers from around the world. Dylan also developed Skytree’s international sales strategy, leveraging Skytree’s global partner ecosystem. Prior to joining Skytree, Dylan led venture capital investments as an Investment Director at Intel Capital. Earlier, Dylan was a Senior Process Engineer at Intel Corporation, leading technology development projects for several of Intel’s semiconductor process nodes. He holds a BS in Mechanical Engineering from Boston University, and a MBA from the Columbia Business School. When not working, Dylan enjoys reading, music, sports, and trying new restaurants.
Inference Frontend Engineer
Justin is an adept web developer with an obsession for how humans interact with the designed world around us. He got his start in Los Angeles working for digital design agencies before migrating north to the Bay Area. In his off time he keeps himself busy playing music or working on his cars. He also loves animals and has been adopted by his two cats Gary Lazer Eyes and PewPew.
Inference Mobile Engineer
Olha holds an MS from the Taras Shevchenko National University of Kyiv, where she studied applied math. Most recently she developed apps and services for Cydia store and jailbroken iOS devices, as well as published her apps on App Store. In her free time, Olha enjoys yoga, hiking, snowboarding, and spending time in nature.
Prior to Scaled Inference, Victor worked on large-scale recommendation systems at both large companies (Google, LinkedIn) and startup (PatternEx). He holds a PhD in mathematics from MIT, specializing in theory of computation. In his spare time, he enjoys reading novels, watching movies, and imitating machines playing go.
Chief Financial Officer
Ainslie is the CEO of Virtual CFO, Inc. a consulting firm that provides strategic financial and investment consulting services to VC funded technology companies across a broad range of verticals, including digital media, big data, social media, personalization, SAAS, green tech, mobile health, networking, and semiconductor. She has over twenty years of financial experience including fundraising, growth capital, M & A, and multinational operations. Prior to founding Virtual CFO, Inc., Ainslie was a co-founder of Digital Pathways Inc., a network security provider, in Mountain View, California. While with Digital Pathways, she held many executive positions including Interim CEO, Chief Operating Officer, Chief Financial Officer and a Member of the Board of Directors. While in the IPO process, Digital Pathways was acquired by a public information security company. Ainslie earned a BS and MBA in Finance from San Jose State University. When not immersed in finance, Ainslie spends time with her husband and kids in Palo Alto. She can be found enjoying rock concerts, and fine food in the many venues around the Bay Area and travelling the world. Fun fact: She is a transplanted Kiwi.
Director of Talent
Anil has led recruiting initiatives at Google, Splunk and several startup's for over 10 years. Prior to joining Scaled Inference, Anil had his own successful consulting practice while also dabbling in real estate, angel investing and developing kid's tennis programs. Anil also made an indie movie, 'For Here Or To Go?' with his close friends. Anil was born and raised in Hong Kong, where he played tennis for his high school and he represented Hong Kong as a junior tennis player. Anil’s proudest moment on the tennis court came when his team won the inaugural Amateur World Team Tennis title and they were presented with the trophy by the great Billie Jean King! Anil earned his Bachelor's degree in International Business And Management Information Systems from Menlo College, where he was also the Captain of the Men's Tennis Team. Anil also earned an International MBA from California State University, East Bay.
Human Inference Engineer
Hedgehog is a 6-year-old Papillon mix and an experienced office companion. She strives to keep the office a friendly place to work, and provides extra warmth to those in need. During the day, you can find her napping, following her dad around, napping, or napping.
Human Inference Engineer Intern
Rosie is an English Golden Retriever who enjoys the intern life. She can frequently be found napping at her Mom's desk or playing in a conference room. Rosie brings a smile to the face of office visitors and is quickly learning from her lead that office life is the good life. When not enjoying cuddles from everyone around her, Rosie can be found chewing on her favorite toys and enjoying lots of treats.
Human Inference Engineer Volunteer
LiLou is a fashionable 3-year old San Francisco pig. She is a Juliana breed and the World's 1st Airport Therapy Pig, volunteering at San Francisco International Airport, hospitals and assisted living homes. When LiLou isn't wowing crowds, she likes to indulge in her favorite treats, enjoy her ‘hoofdicure’ and relax on the couch with her Mommy and Daddy. Oh, and she also likes to nap and nap and nap some more.
Michael I. Jordan
Full Professor, UC Berkeley
Michael is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at UC Berkeley. Previously he was a professor at MIT from 1988 to 1998. His research interests bridge the computational, statistical, cognitive and biological sciences, and have focused in recent years on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, kernel machines and applications to problems in distributed computing systems, natural language processing, signal processing and statistical genetics. Michael is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science (AAAS), AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He was awarded the ACM/AAAI Allen Newell Award in 2009 and the David E. Rumelhart Prize in 2015.
Founding Partner, Khosla Ventures
Vinod is an entrepreneur, investor and technologist. Founded in 2004, Khosla Ventures today invests over $1.3 billion focusing on early-stage technology companies. Prior to founding KV, Vinod was a general partner at KPCB where he took on crucial roles for many notable companies including Nexgen/AMD, Juniper Networks, Excite, and Cerent (acquired by Cisco for $7.2B). As an entrepreneur, he was co-founder of Daisy Systems, the first significant Computer-aided Design system for electrical engineers, and Co-founder and CEO of Sun Microsystems, an iconic technology company credited for creating the Java language and the Network File System and for significantly advancing today’s essential technologies such as Unix, RISC processors, and virtualization. Vinod is a charter member of The Indus Entrepreneurs (TiE), a non-profit global network of entrepreneurs with more than 40 chapters in 9 countries, and a founding board member of the Indian School of Business. He holds a BS in Electrical Engineering from Indian Institute of Technology, an MS in Biomedical Engineering from Carnegie Mellon University, and an MBA from Stanford University.
Operating Partner, Khosla Ventures
George is an operating partner at Khosla Ventures and an instructor at Stanford University. Previously, George was founder and CEO of Rocket Fuel, whose autonomous AI engine powered ridiculously good digital ad campaigns for almost all large US advertisers plus many global brands. It had the top technology IPO in 2013 and George was recognized with an EY Entrepreneur of the Year and Most-Admired CEO award. Before Rocket Fuel, George was an early employee at Epiphany and Salesforce.com. At Salesforce.com George led product management for analytics and social, which respectively helped the company attract large enterprise customers and cement its relationships with its champions. George earned a BS, MS, and PhD with distinction in teaching from the Computer Science department at Stanford. His 1997 thesis focused on Machine Learning, and one of his papers on the topic of relevance became a top ten most-cited paper in global AI and ML literature. He has taught a number of courses in Computer Science at Stanford and is an instructor for its famous Lean Launchpad class, teaching entrepreneurial science to MBA and engineering students.
CXO, SEVP, Tencent
David joined Tencent as an early-stage startup in 2001 and oversaw its growth to become (as of 2014) the fifth largest internet company in the world, with a market capitalization of over $150 billion USD. Tencent operates the second-largest internet community in the world with over 820 million active users. David is responsible for Tencent's international expansion through strategic partnerships and investments. Prior to joining Tencent, David was responsible for investments and strategy at the Naspers Group in China. David has an MS from UC Berkeley and a BS from University of Washington.