Indivar Mishra
Indivar Mishra Indivar Mishra

May 2025 Meetup

The May BangPypers meetup in collaboration with Pydata Bengaluru, hosted at the vibrant UrbanVault venue within the DocketAI office, offered attendees a fascinating journey through cutting-edge developments in the Python ecosystem. The talks were incredibly diverse, ranging from a fresh perspective on Machine Learning as a search problem to the critical steps involved in getting Large Language Models (LLMs) tested and production-ready. We even delved into the exciting possibilities of the WASM (WebAssembly) Python ecosystem, highlighting its potential to revolutionize how Python runs in the browser and beyond. It was a truly insightful evening that showcased the dynamic innovation happening within the Python community.

The event kicked off with Shreyas MS, who delivered a particularly insightful talk aimed at demystifying machine learning for beginners. He skillfully presented the concept of ML, and even current LLMs, as a search space problem. For many who perceive AI as “magic,” Shreyas’s approach was a breath of fresh air, intuitively explaining how machine learning operates. He compellingly demonstrated how viewing an ML problem through the lens of a search space significantly aids in understanding its underlying objective and the mechanisms by which AI truly works.

Is ML just Search

Following Shreyas, Suhas Gupta took the stage to introduce the powerful DeepEval framework. His talk provided a comprehensive overview of how this innovative tool can be seamlessly adopted to evaluate Large Language Models (LLMs). Suhas highlighted DeepEval’s capabilities in ensuring that LLMs are not just performant, but also robust and reliable enough to be deemed production-ready, a crucial step for any organization looking to deploy these advanced AI models in real-world applications.

Evaluating llm for production ready code

The final talk of the event was delivered by Anirudh Kumar and Farhaan Bhuksh, who captivated the audience with their presentation on the burgeoning WASM (WebAssembly) ecosystem. They explored the exciting landscape of where Python currently stands within this new paradigm, highlighting its potential to run efficiently in web browsers and other environments. A key focus of their talk was the introduction of their innovative initiative: a new package called Chakra, specifically designed to enhance and streamline the experience of using Python within the WASM environment. This promises to open up new frontiers for Python developers.

WASM and Python: The Future of Serverless Computing

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