Episode 73

How To Break Into Designing "Inclusive" Microsoft LLMs + Navigating Bias & Privacy Concerns - w/ Advitya

Oct 16, 202401:09:41On YouTube too
How To Break Into Designing "Inclusive" Microsoft LLMs + Navigating Bias & Privacy Concerns - w/ Advitya thumbnail

Advitya works on Responsible AI at Microsoft as a Machine Learning Engineer 2. I am extremely stoked to present this incredibly nuanced discussion on the ethics and responsibilities that come with building mass-market generative AI tools.

Who this is for

  • You want a public signal that actually helps your work, not empty internet vanity.
  • You are changing lanes and need the version that still makes sense when the story is not neat yet.
  • You would rather hear Advitya's version while the mess is still fresh than get another polished hindsight sermon.

Key takeaways

  • Break Into Designing "Inclusive" Microsoft LLMs + Navigating Bias & Privacy Concerns - w/ Advitya
  • As unreal as it feels to say this, it is now August 2025 and generative AI is somehow not the most cuttingedge tech...
  • strong knowledge of what Agentic AI is, how to get started with developing as well as learning about Agentic AI apps...

Need the cleaner version?

I pulled the sharpest parts of this lane into a guide so you do not have to reconstruct the answer from memory later.

Read the guide

Fast scan timestamps

00:0000) Intro + Background(
00:0351) Advitya’s career snapshot(
00:0522) Landing Microsoft’s ML rotation program role spanning 4 orgs(
00:0825) Experience of studying Data Science at UC San Diego(
00:1111) Day in the life starting out at Microsoft(
00:1452) Hands-on experience working on products at Microsoft(

Transcript-backed moments

A few lines worth stealing before you hand over the full hour.

Open on YouTube
00:00:00

As unreal as it feels to say this, it is now August 2025 and generative AI is somehow not the most cuttingedge tech currently. Yes, that's right. Move aside generative AI because Agentic AI is

00:00:12

generative AI because Agentic AI is where the collective future of the AI world is headed. So here's a promise. By the end of this video, you'll have a strong knowledge of what Agentic AI is,

00:00:21

strong knowledge of what Agentic AI is, how to get started with developing as well as learning about Agentic AI apps and also how to upskill to break into jobs in this field even without any

00:00:29

jobs in this field even without any prior SVE or machine learning experience. experience. My hot take is Python is not the language for applied AI engineering and is actually TypeScript. For somebody

00:00:38

is actually TypeScript. For somebody that's just trying to get started with developing for agentic AI, what would be some of the resources that you can recommend or a decent first couple

Show notes

Advitya works on Responsible AI at Microsoft as a Machine Learning Engineer 2. I am extremely stoked to present this incredibly nuanced discussion on the ethics and responsibilities that come with building mass-market generative AI tools. We discuss the technical foundations of Advitya’s career that brought him to this cutting edge of technology, and also go over how GenAI tools by big tech navigate critical concerns such as privacy, ethics, inherent biases that creep in all the time; and the aspect I was most curious about - WHO is the actual decision maker when it comes to flagging something as problematic and/or offensive.

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