Where I express personal thoughts in words
Chris Riccomini is an engineer, author, investor, and advisor. He has worked on infrastructure as an engineer and manager for about 15 years at PayPal, LinkedIn, and WePay. He was involved in open source as the original author of Apache Samza and an early contributor to Apache Airflow. He has also written a book with Dmitriy Ryaboy called The Missing README, a guide for software engineers. Lately, he has been investing in startups in the data space.
Michel Tricot has been working in data engineering for 15 years. Originally from France, Michel came to the US in 2011 to join a small startup named LiveRamp. As the company grew, he became the Head of Integrations and Director of Engineering, where his team built and scaled over 1,000 data ingestion and distribution connectors to replicate hundreds of TB worth of data every day.
After LiveRamp’s acquisition and later IPO (NYSE:RAMP), he wanted to return to an early-stage startup. So he joined rideOS as Director of Engineering, again deep in data engineering. While there, he realized that companies were always trying to solve the same problem repeatedly, which should be solved once and for all.
This was when he decided to start a new company, and Airbyte was born.
Matthew McAteer is a Machine learning Researcher at FOR.ai. Before this, he got his career started in biological aging, before moving on to the mission of figuring out ways in which machine learning could be used on large amounts of noisy biomedical data. He has worked for many companies as a machine learning engineer and researcher, ranging from small startups to Google's TensorFlow team. His work on subjects like security and safety in machine learning has also been showcased at top conferences like ICML.
Alexey Grigorev lives in Berlin with his wife and son. He’s a software engineer with a focus on machine learning, currently working at OLX Group as a Lead Data Scientist. Alexey is a Kaggle master, and he wrote a couple of books. One of them is “Mastering Java for Data Science,” and now he’s working on another one — “Machine Learning Bookcamp.”
Vincent Tatan is a Data and Technology enthusiast with relevant working experiences from Google LLC, Visa Inc., and Lazada to implement microservice architectures, business intelligence, and analytics pipeline projects. Vincent is a native Indonesian with a record of accomplishments in problem-solving with strengths in Full Stack Development, Data Analytics, and Strategic Planning. He has been actively consulting Singapore Management University’s Business Intelligence and Analytics Club, guiding aspiring data scientists and engineers from various backgrounds and opening up his expertise for businesses to develop their products. Vincent also opens up his one on one mentorship service to coach on landing your dream Data Analyst/Engineer Job at Google, Visa, or other large tech companies.
Conor Dewey is a data scientist at Squarespace who spends his time thinking about growth and engagement. He frequently shares insights from his experience interviewing at top companies. More generally, he offers resources and advice on Medium and Github in the hopes of ‘open sourcing’ his journey to data science. Conor also manages a weekly data science newsletter with 1000+ subscribers.
