PyHou - Houston Python Enthusiasts!

Join us for our monthly meetup! The meetup will take place in the PyTexas Discord server, so be sure to join!

This month we are excited to be joined by Dippu Kumar Singh

Speaker: Dippu Kumar Singh
Topic: Multimodal RAG for the Future of Intelligent Enterprise Search

In an era where enterprises generate massive, complex streams of unstructured data from documents and logs to images, audio, and video, traditional search and analytics fall short. This session explores a transformative, production-ready framework for Multimodal Retrieval-Augmented Generation (RAG), designed to redefine how organizations unlock insights from every data modality. Discover how an intelligent agent, built using cutting-edge encoders and composable AI models, empowers organizations to understand, retrieve, and reason over diverse information in real time.

• Time: 6:40 PM – 7:20 PM
• Title: SQL is All You Need: High-Performance ML with LightGBM and SQLite in Production Daytrading
• Speaker: Kai Zhu
• Description: Most machine learning workflows involve the "Data Shuffle" - pulling data from a database, converting it to a DataFrame, and passing it to a model. But what if your database was the model?
• In this session, we’ll dive into sqlmath (https://pypi.org/project/sqlmath/), a Python/Node.js C-extension that bridges the gap between SQLite and LightGBM’s C-API. We'll demo a live, end-to-end quantitative trading use-case: parallel-backtesting 200,000 rows of intraday SPY ticks/features in near-realtime.
• What we’ll cover:
• Low-Latency ML: How to pass SQL-tables directly into LightGBM's train and predict C-API using SQL-queries.
• Parallelism with SQLite: Running multiple, simultaneous train/predict backtests using multi-threaded SQL-queries.
• The Quantitative Workflow: Moving from 1-minute raw-ticks to 15-minute future-predictions with confidence-intervals derived from backtest-accuracy.
• Whether you're a Python dev, a Data Scientist, or a SQL enthusiast, you'll see how to push SQLite far beyond traditional database operations.
• Bio: Kai Zhu’s interest in autonomous trading-systems started in college. He currently runs one in the cloud with minimal user-input – and admits to making many programming-mistakes getting it off the ground. Using math and statistics he think he knows (but probably not), its highly like many more mistakes will be made in the future. He also enjoys traveling the world, and playing Mechwarrior Online with friends.

### Lightning Talks

• Time: 7:30 PM – 8:00 PM
• Description: 5-minute talks on various Python-related topics. Lightning talks are meant to be quick and informal, showcasing small projects, tools, or quick tips. Lightning talk sign-ups are at the event!
• Format: Each speaker has 4 minutes to present, followed by 1 minute for questions.

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PyTexas 2026 Schedule:

Friday, April 17, 2026 - Tutorials Tutorials return this year to PyTexas. They will be one day, in-person only, and there will be three sessions. The first will be held in the morning, then a lunch break, followed by following tutorials. View our Tutorials These will not be recorded or streamed

Saturday, April 18, 2026 - Main Conference Day 1 - Join us for our Keynote speaker, presentations, sponsor booths, lightning talks, and a network event in the evening!

Sunday, April 19, 2026 - Main Conference Day 2 - Join us for our Keynote speaker, presentations, sponsor booths and lightning talks as we wrap up PyTexas 2026!