Priyanka DataCreatorAI's profile on Product Hunt

About

My name is Priyanka, and I’m an AI Engineer with a Master's in Data Science and over 7 years of experience as a Software Engineer. My passion lies in developing and fine-tuning Large Language Models (LLMs) and applying AI to solve real-world challenges. I believe in making AI accessible to everyone, regardless of their background. I’m currently building DataCreator AI, a platform dedicated to generating high-quality synthetic data for AI and machine learning systems. My focus is particularly on NLP applications, where I aim to help organizations and researchers create customized datasets for better AI adoption. I look forward to connecting, collaborating, and growing together in this journey!

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Maker History

DataCreator AISynthetic Data Generation for Modern AI Workflows
May 2026
LaunchRockCreate viral Launching Soon Pages

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Joined Product HuntMarch 31st, 2019

Forums

p/datacreator-ai

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4d ago

Do you think synthetic data can help with AI model evaluation and fine-tuning workflows?

I am an AI Engineer, and I find synthetic data to be of great help, not as a replacement for real data, but to augment it.

It has always been useful for training, but for me, it has been especially useful for coming up with various scenarios to test different kinds of inputs. I believe synthetic data can be very helpful for evaluating agent traces and outputs, simulating different scenarios, and testing edge cases.

p/kilocode

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3d ago

Featured

How do you like to work with AI coding agents?

There seems to have two types of developers:

Human in the loop: Those who like to control the behavior of their agents as it works, looking at the context usage, reading reasoning blocks, and approving individual file edits.
Agent first: Those who prefer to review the output of agents, rather than individual actions, and run one or more sessions in parallel.

What type of developer are you when working with AI coding agents?

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3d ago

DataCreator AI - Synthetic Data Generation for Modern AI Workflows

Quality > Quantity 🌱 Don’t spend your weekends manually collecting, cleaning, formatting, and expanding datasets for AI systems. DataCreator AI helps developers and AI teams generate high-quality synthetic datasets for training, fine-tuning, and evaluation workflows with continuous refinement, quality reviews, and diversity-focused data generation, so you can spend more time building models instead of preparing data.