Pooja Palod — Machine Learning Engineer

I have been working in various aspects of Data Science for the last 7 years. My interests include, but are not limited to, pre-training large language models, natural language generation, and Generative AI. Currently, I’m at Uber, applying Generative AI to build innovative solutions that drive customer obsession and improve user experiences. Before Uber, I was a Senior Data Scientist at Fidelity Investments, where I developed a Retrieval-Augmented Generation (RAG) pipeline to generate Q&A from documents, cutting onboarding time in half for an API integration platform. I also built an investor segmentation utility that helped clients grow their business. Prior to that, I worked on the Microsoft Bing team, contributing to the People Also Ask feature by generating natural, concise questions from documents for search suggestions. I also built data pipelines for streaming and batch processing. Earlier in Bing Shopping, I applied machine learning to add features like multiple sellers and filters on the shopping page, and owned the ads conflation pipeline responsible for matching ads with catalogue products. My technical skills include: * Programming: Python, C# * Data Engineering & ML: Pandas, NumPy, Scikit-Learn, SQL * Deep Learning, NLP & GenAI: PyTorch, TensorFlow, Keras, Large Language Models, Generative AI frameworks I love connecting with like-minded professionals and regularly share detailed posts on Data Science, Machine Learning, and Generative AI through both LinkedIn and Substack. I’m always excited to engage with fellow experts and explore new opportunities in these fields—please don’t hesitate to reach out!

Stackforce AI infers this person is a Data Science and AI specialist with a focus on Generative AI and NLP in SaaS.

Location: Hyderabad, Telangana, India

Experience: 9 yrs 5 mos