MLOps Specialist
Prema Roman
Distributed Systems Engineer
Bio
Prema Roman is a distributed systems engineer at Rotational Labs. She is an experienced software, data, and machine learning engineer with a proven track record of building high quality software applications and data products. Her passion for continuous learning has taken her a long way from her start as a data analyst, as she takes on new challenges at Rotational Labs building globally distributed systems and machine learning data products.
Blog Posts Written by Prema
Product Development in the AI Era
Last month, we spoke to a panel of expert product managers who have successully implemented AI solutions in their organizations. This post recaps some of the key strategies and insights they shared.
Nov 27, 2024How to build a text-to-sql LLM application
As industry races for use cases of Large Language Models, software devs have emerged as early adopters. Can LLMs help us translate between tech and talk? Let’s build a text-to-SQL application with Vanna and Streamlit!
Jun 7, 2024To LLM or Not to LLM (Part 2): Starting Simple
Sick of hearing about hyped up AI solutions that sound like hot air? 🧐 Let’s use boring old ML to detect hype in AI marketing text and see why starting with a simple ML approach is still your best bet 90% of the time.
May 20, 2024To LLM or Not to LLM: Tips for Responsible Innovation
We’re seeing a proliferation of Large Language Models (LLMs) as companies seek to replicate OpenAI’s success. In this post, two AI engineers respond to LLM FAQs and offer tips for responsible innovation.
May 8, 2024How to Plan and Scope LLM Projects
Move over ChatGPT, here come the Large Language Models (LLMs). More and more companies are incorporating LLMs into their operations. Are you ready? Here’s the guide to how Rotational plans and scopes our LLM projects.
Feb 1, 2024Monitoring Real-Time Machine Learning Applications With Prefect
The last few years have marked a shift in industry away from research-oriented machine learning. These days, shipping models early and often is critical, and open source tools like Prefect can speed up the process of operationalizing ML.
Jan 26, 2024