Deepa Shenoy explains: Week 1 Progress & Introduction to Brutalist Film-as-Code

In her first progress update, Deepa Shenoy describes a background in information systems, data engineering and business intelligence. She explains that she is volunteering with Humanitarians AI to learn a workflow that combines planning, narration, visuals, review and code.

1:16 video2 min readWatch on YouTube

This is Deepa Shenoy's first progress update with Humanitarians AI, narrated by Liam on her behalf. It is a short introduction. She describes her technical background, says why she is volunteering, and outlines the Brutalist film-as-code workflow she is starting to learn.

Her background

Deepa's background is in information systems, data engineering, data analytics and business intelligence. Her technical experience includes working with Python, SQL, Snowflake, Power BI and Tableau. She says she has built data pipelines, analytics solutions and dashboards, and she describes these as the kinds of tools and systems she brings to her work and learning.

What she is volunteering to learn

She is volunteering with Humanitarians AI and learning the Brutalist film-as-code workflow for educational STEM and AI content. The idea is to treat a video the way a developer treats software, so that the finished piece is produced through code rather than assembled by hand in an editing program.

What the workflow combines

The video describes the workflow as a combination of five things:

  • Structured planning.
  • Narration.
  • Visual storytelling.
  • Human review.
  • Programmatic video production.

In practice, she explains, that means shaping the idea, preparing the narration, designing the visuals, reviewing the cut, and producing the video through code. Review sits inside the sequence rather than at the end of it, so a person looks at the result before it counts as finished.

Her current focus

Her current focus is learning the workflow and using her technical background to communicate STEM and AI concepts clearly. She says she is learning how the planning, narration, visuals and review fit together. The update is explicitly the beginning of the work. She does not claim results yet and says she looks forward to sharing what she learns and builds along the way.

Key takeaways

  • Deepa Shenoy's background is in information systems, data engineering, data analytics and business intelligence.
  • Her tools include Python, SQL, Snowflake, Power BI and Tableau.
  • She is volunteering with Humanitarians AI to learn the Brutalist film-as-code workflow.
  • The workflow is aimed at educational STEM and AI content.
  • It combines planning, narration, visual storytelling, human review and programmatic production.
  • The steps are shaping the idea, preparing narration, designing visuals, reviewing the cut and producing the video through code.
  • Her goal is to use her technical skills to communicate STEM and AI concepts clearly.

Try it yourself

Take a concept from your own field and walk through the same five steps on paper. Write the idea in a sentence, draft the narration, describe the visuals, decide who will review the cut, and note which parts could be produced through code. The later updates in this series show what happens when the workflow is actually run.

Chapters

  1. 0:00Background in Information Systems and Data Engineering
  2. 0:25Technical Toolkit: Python, SQL, Snowflake, PowerBI, and Tableau
  3. 0:45Introduction to the Brutalist Film-as-Code Workflow
  4. 1:10Combining Planning, Narration, Visuals, and Programmatic Production
Full transcript(auto-generated, with timestamps)

Background in Information Systems and Data Engineering

[0:00]Hi, I am Deepa Shenoy and this is my first progress update with Humanitarian's AI. This is Liam narrating for Deepa. My background is in information systems, data engineering, data analytics, and business intelligence. My technical experience includes working with Python, SQL, Snowflake, Power BI, and Tableau. I have built data pipelines, analytics solutions, and dashboards. These are the kinds of tools and systems I bring to my

Technical Toolkit: Python, SQL, Snowflake, PowerBI, and Tableau

[0:26]Work and learning. I am volunteering with Humanitarian's AI and learning the brutalist film as code workflow for educational STEM and AI content. The workflow combines structured planning, narration, visual storytelling, human review, and programmatic video production. In practice, that means shaping the

Introduction to the Brutalist Film-as-Code Workflow

[0:45]Idea, preparing narration, designing visuals, reviewing the cut, and producing the video through code. My current focus is learning the workflow and using my technical background to communicate STEM and AI concepts clearly. I am learning how the planning, narration, visuals, and review fit together. This is the beginning of my work with Humanitarian's AI and I look forward to sharing what I learn and build along the way. Week one progress and introduction, Liam

Combining Planning, Narration, Visuals, and Programmatic Production

[1:12]Narrating for Deepa for Humanitarian's AI.

More from Humanitarians AI Fellows

Humanitarians AI Lyrical Literacy Project