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Know your Educators

Our heartfelt thanks go to these amazing folks who have enriched this course with their expertise and insights:

  • Adrian Kosowski, CSO at Pathway | Earned PhD at 20 | Former Prof at École Polytechnique and Co-founder of SPOJ | 100+ Research publications
  • Jan Chorowski, CTO at Pathway | PhD in Neural Networks | Co-author with Yoshua Bengio and Geoff Hinton | Ex – Google Brain
  • Sergey Kulik, Lead Research Engineer at Pathway | IOI Gold Medalist | Former Head of Service at Yandex
  • Berke Çan Rizai, LLM Research Engineer at Pathway | Former Data Scientist at Getir
  • Mudit Srivastava, Director of Growth at Pathway | Ex - Founding Growth Head at AI Planet
  • Anup Surendran, Head of Product Marketing & Growth at Pathway | Previously Vice President at QuestionPro | Advisor, Texas A&M University
  • Olivier Ruas, Director of Product at Pathway | PhD on kNNs | Ex – Peking University
  • Saksham Goel, DevRel Engineer at Pathway | IIT Delhi Grad, Ex - NTU Singapore

Special acknowledgment:

  • Vijay S Agneeswaran, Senior Director and ML Research Leader at Microsoft, for developing and presenting the session on vision transformers that has been integral to one of the bonus modules within this coursework.
  • Łukasz Kaiser, Senior Researcher at Open AI and Co-creator of ChatGPT, TensorFlow, Transformer Architecture, and more. He recently delivered an offline session at a Pathway meetup in San Francisco, which is an important resource within the bootcamp.
  • Jayprasad Hegde, Head of AI and Data Science at NPCI (creator of UPI, IMPS, Rupay, and more). He's a notable figure in the Indian AI landscape and has taken the session on End-to-End Local RAG that is integrated within the RAG module as a bonus resource.

Throughout this bootcamp, we've utilized various resources to enrich your educational journey, making every effort to acknowledge contributions appropriately. Should there be any oversight or missed acknowledgment, we encourage you to contact us.

About Pathway

With main offices in France and Poland, Pathway is a deep-tech startup known for the Pathway framework. It's a Python data processing framework for analytics and AI pipelines over data streams. It’s the ideal solution for real-time processing use cases like streaming ETL or RAG pipelines for unstructured data. Pathway is also 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, it reduces the cost of any computations.
  • Enabling use cases enterprises crave, 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 their frameworks 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 this ArXiv Paper – your first bonus resource 🙂).