AI/ML content strategy

Content strategy and growth for technical AI/ML audiences

I help AI companies explain complex products, build trusted technical content, and grow their audiences through repeatable editorial systems.

Available for content strategy, editorial systems, and selected technical content projects.

Valeriia Kuka
~65x

organic audience growth from under 1,000 to 60,000 subscribers on a technical AI newsletter in 3 years

4M+

impressions on a single X post on a founder's account

Yann LeCun

reshared my JEPA explainer

+98%

organic users in 9 months on the Learn Prompting website

Companies and teams I have worked with

DataTalks.Club
Learn Prompting
Turing Post
TheSequence
AI Shipping Labs
HSE

Selected work

Content systems, launches, and audience growth

A few projects where research, editorial judgment, and distribution came together.

Editorial Strategy / 2025 to present

DataTalks.Club Content Programs

Led cross-channel content for course launches, social, and newsletters with a focus on technical clarity and measurable demand generation.

  • Content Strategy
  • Newsletter
  • Social Media
  • Analytics
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Social Growth / Jan to Apr 2023

DataTalks.Club Social Growth

Rebuilt LinkedIn and X content strategy for a global data community, improving engagement quality, clicks, CTR, and course sign-ups in a four-month part-time role.

  • LinkedIn
  • X/Twitter
  • Newsletter
  • Figma
  • Community Growth
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Content Strategy / 2024 to 2025

Learn Prompting Content Strategy

Owned the editorial system for docs, blog, newsletter, and social channels for an AI education platform serving millions of users.

  • SEO
  • Editorial Ops
  • Technical Writing
  • Team Leadership
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Writing

Recent articles and notes

Learn Prompting / Guide, Prompt Engineering / Sep 3, 2025

LLM Parameters Explained: A Practical Guide with Examples for OpenAI API in Python

Edited a practical guide to the key parameters that control LLM behavior: temperature, top-p, max tokens, frequency and presence penalties, and stop sequences, explaining how each one affects randomness, coherence, length, repetition, and novelty, with concrete examples using OpenAI's ChatGPT and API so you can reliably steer outputs from deterministic to creative.

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