Expert in using Flink and Pinot to solve big data analytics problems. Multiple projects in the finance space using these technologies. Past co-founder/CTO of Krugle (big data/search startup).

I'm currently a big data systems software architect at Yahoo!. I joined the company via the acquisition of a startup, BrightRoll where I started and led the big data engineering group. My role focused on technology, architecture, technical strategy and execution with the objective of enabling data driven capabilities for the company. We built a highly scalable platform (data pipelines, analytics, data warehouses) that ingests 10s of Terabytes of data per day and processes 10s of Billions of events per day. The major technologies used are Flume, HDFS, M/R, HBase, MySQL, Druid, Redshift, Play Framework, Scala, Java, Ruby. I advise startups in terms of assessing and tackling their technical challenges, aligning their technology with business priorities, and finding a balance between premature optimization and scalability bottlenecks. I provide specific expertise relating to ad tech, big data, architecture, distributed and highly scalable systems, databases, infrastructure and lean/agile execution. Lastly, I provide introductions to investors and other industry experts where appropriate.

Machine Learning Expert with PhD from Cambridge University. I currently work as a data scientist as part of the investment team at Balderton Capital. Previously I was leading data science at social analytics startup PeerIndex. Experienced in all areas of machine learning and computational statistics and their applications to analysis of social networks, scientific or business data. I also have some insights into startups and raising capital.

DevOps Entrepreneur, Automation Fanatic, Infrastructure Architect. 18+ years of tech industry experience, from large organizations such as Cisco and VMWare to small startups in Silicon Valley.

Australian Entrepreneur. Co-Founder of Skillsapien – Automation and Big Data experience (14 years in Multinationals and Startups). Mentor @ IEEE and ACM.

Exceptionally results-oriented software developer with experience in building products for startup like fast growing and constantly evolving environment. Always eager to take the ownership of projects and get things done on timely and satisfactorily manner. Keen on learning new technologies and suggesting them whenever necessary. Have a clear goal of helping businesses reach their full technological potential using my experience and expertise in software development and management. • Proficient in understanding management’s requirements and come up with an optimal solution • Innovative in developing creative solutions and leading the team in new directions • Fast and willing to learn cutting edge technology as business requires • Exceptionally resourceful, helpful and goal oriented • Co-operative, very detail oriented, punctual and responsible

I don't believe in artificial intelligences. I believe in the right people with the right skill. I believe in communication, mentoring and software craftmanshift. I believe in lean solutions that solves most parts of a problem. I believe in agile teams delivering crafted code. I believe in methodology and continuous improvement. I'm a data scientist and big data architect, i've worked in consulting, seen many contexts and learned the hard way that data science doesn't make it without a lean startup mindset. I design ML models. I build stuff that scales. And most of all, i build the right data product. I'm good at python and spark. I like to think i'm a good architect and data product manager

Advising CTO. Former co-founder and CTO @ Seesmic. I can help you with your early stage startup, help pick the right technology stack for you, review architecture and make due diligences on potential engineers you want to hire.

Big data architecture and applications engineer with extensive experience in distributed systems, data mining and machine learning domains. Combining a background in math, computer science and bioinformatics and a passion for looking for trends and data-driven insights, Amina focuses on applications that optimize business workflows and processes. Her professional background includes entrepreneurship ventures in e-commerce, Predictive Analytics and Customer Insights at Disney and Software Development at Lawrence Berkeley National Lab (LBNL). Amina holds a Bachelor's degree in Mathematics and Computer Science from University of Mumbai and Master's degree in Computer Science and Computational Biology from Carnegie Mellon University. Amina has diverse experience making customers successful in the financial services, biotech/ pharmaceutical and ecommerce verticals. Specialties: Hadoop, HBase, MapReduce, Predictive Modeling and Analytics, Recommender Systems, Pattern Recognition, Context and Content Discovery. Fraud Detection and Risk Assessment in Financial Services. Bioinformatics and Computational Biology.

This is Sriram. I am experienced in Web development. I have 6 years of experience in web development, with both front end and back end works.

Our Main expertise are in BigData, Dynamics 365 and Application Development. We hold a patent in BigData.

If you do much of anything online, you've probably run into code I wrote. Working with a variety of bootstrapped and funded B2C startups, formerly Sr SDE at Amazon.

Ph.D. in Applied Mathematics and Statistics from Johns Hopkins Univ. Masters in Computer Science and Mathematics Sciences from JHU. Software Development Engineer/Manager in CCB in China for critical bank software for 7 years. Senior Research Software Engineer in Microsoft for 3 years. Architect/Chief Data scientist for 4 years. Currently on a Chief Data Scientist position in a 150 people high tech company. World class expert in data science, machine learning theory, algorithms and practices. Expert in programming with Python, C and Scala. Expert in cloud computing. Expert in Hadoop/Hbase/Spark/Pig. Certified AWS solution architect.

Head of product at stealth data software startup. Author of books on R (the language), and baseball (the game). Lots of experience with data software, including Hadoop, R, Pig, Crunch, and others. Formerly data science at LinkedIn, Netflix and Verisign.

Technical Installer, Developer and Trainer in IT fields ranging from Electronic Health Records to Business Applications and Hadoop Infrastructure.

Big data expert with over a dozen years of experience. Created brain-computer interfaces and designed business critical big data architectures for Fortune 100s.