Ashish Patel is a software engineer with 10 years of experience, currently working at Deutsche Bank on large-scale Retrieval-Augmented Generation systems after contributing as a summer intern where he built a Python framework that cut manual testing by roughly two days per week. He combines a strong engineering physics background from IIT Bombay with hands-on backend and DevOps expertise, including notable open-source contributions to Apache Airflow around Google Cloud Dataproc integration and Breeze environment improvements. His career spans product-focused roles at Prophecy.io, Skyscanner, Walmart Labs, and Deutsche Bank, reflecting experience across fintech, travel, and data tooling. Comfortable bridging research-grade ML (PyTorch OCR) and production systems, he also brings practical GIS and frontend work from civic projects, revealing a breadth that blends automation, cloud-native workflows, and user-focused engineering.
10 years of coding experience
Indian Institute of Technology Bombay
Higher Secondary and Senior Secondary School, Higher Secondary and Senior Secondary School at Puranchandra Vidyaniketan
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end & DevOps Engineer
Contributions:61 reviews, 34 PRs, 216 comments in 5 years 2 months
Contributions summary:Ashish primarily contributed to the `apache/airflow` repository by adding and modifying functionality related to Google Cloud Dataproc integration, specifically focusing on the `DataProcClusterCreateoperator`. Their work involved adding parameters like `custom_image_family`, implementing error handling, and writing unit tests. Additionally, the user made updates to documentation and implemented support for loading local tmux configuration within the Breeze environment.
Contributions:43 PRs, 178 pushes, 33 branches in 7 years 9 months
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