Meet your Instructors

Your Educators

Our heartfelt thanks go to the distinguished professionals who have enriched this course with their expertise and insights:

• Adrian Kosowski, Chief Product Officer at Pathway | Earned PhD at 20 | Former Professor at École Polytechnique and Co-founder of SPOJ | 100+ Research publications

• Anup Surendran, Head of Product Marketing & Growth at Pathway | Previously Vice President at QuestionPro | Advisor, Texas A&M University

• Jan Chorowski, Chief Technology Officer at Pathway | PhD in Neural Networks | Co-authored papers with Yoshua Bengio and Geoff Hinton, two of the three Godfathers of AI | Former Researcher at Google Brain, MILA AI

• Sergey Kulik, Lead Software Research Engineer and Solutions Architect at Pathway | International Olympiad in Informatics Gold Medalist | Former Head of Service at Yandex.

• Mudit Srivastava, Growth Manager at Pathway | Former Founding Member and Growth Head at AI Planet (prev DPhi).

• Bobur Umurzokov, Developer Advocate at Pathway | Former Lead at Microsoft Tallinn.

• Berke Can Rizai, LLM Research Engineer at Pathway | Former Data Scientist at Getir.

Special thanks to Mike Chambers from Amazon Web Services for granting permission to use his invaluable educational resources from the BuildOnAWS YouTube channel.

Throughout this course, we've utilized various resources to enhance your learning experience and have endeavoured to give appropriate credits whenever possible. If there's an oversight or a missed acknowledgement, please don't hesitate to inform us.

Furthermore, if we invite external educators beyond those already mentioned, we will update this section with their details. This will enable you to connect with them later through their social media profiles, extending your learning network.

About Pathway

Pathway is the world's fastest data processing engine supporting unified workflows for batch, streaming data, and LLM applications.

Pathway is the single, fastest integrated data processing layer for real-time intelligence.

• Mix-and-match: batch, streaming, API calls including LLMs.

• Effortless transition from batch to real-time - just like setting a flag in your Spark code.

• Powered by an extremely efficient and scalable Rust engine, reducing costs of any computations.

• Enabling use cases enterprises were craving, making advanced data transformations lightning-fast and easy to implement.

Why is Pathway so Fast

The Pathway engine is built in Rust. We love Rust 🦀. Rust is built for speed, parallel computation and low-level control over hardware resources. This allows us to execute maximum optimization for performance and speed.

We also love Python 🐍 – which is why you can write your data processing code in Python and Pathway will automagically compile it into a Rust dataflow. In other words, with Pathway you don’t need to know anything about Rust to enjoy its enormous performance benefits! For now, this is a simple enough starting point (that said, feel free to find more details in our ArXiv Paper – your first bonus resource 🙂).