Priyanka DataCreatorAI

Priyanka DataCreatorAI

AI Engineer, Software Developer
#175841040 followers22 following
🔥 37 day streak
#5,205Last month
6 KP
#25,042Last year
16 KP
>10,000All time
33 KP
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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 AI
    DataCreator AISynthetic Data Generation for Modern AI Workflows
    May 2026
  • LaunchRock
    LaunchRockCreate viral Launching Soon Pages
    • 🎉
    Joined Product HuntMarch 31st, 2019

Forums

DataCreator AIp/datacreator-ai•

26d ago

How often do you run into limitations with AI models in your domain?

Models seem to be able to do anything these days, but I am curious if you see any cases where it doesn't work and can't seem to match up or hit a wall.

The benchmarks show a pretty picture, but the real-world performance in areas such as healthcare, legal analysis, finance, and scientific research has not been objectively quantified.

So, I am curious about which domain your work is in, and within your workflows, where does the current AI fall short?

DataCreator AIp/datacreator-ai•

2mo 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.

Kilo Codep/kilocode•

2mo ago

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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