Alexander Gednov

Questioner
DISC Type : c

Generative AI & Machine Learning Engineer – Coding Assistant at Apple

San Francisco, California, United States

Overview

Alex is an Applied AI and Machine Learning Research Engineer at Apple, where he leads the development of a novel code-assistant product for Apple Intelligence. His expertise spans the full modeling stack, including synthetic data generation, agent-based reasoning, and tool calling. He holds a degree from the University of Southern California.

Outside of his work in AI, Alex has shown a strong interest in emerging technologies like blockchain, having been active in the Trojan Blockchain Society at USC where he organized events with major tech companies. He also appears to be a golfer, having promoted a charity golf event for his universitys rowing team.

He was a Machine Learning Course Producer at USC, helping to teach advanced technical courses to fellow students.

Personality Overview

Not Easily Convinced

Price-Sensitive

Systematic

They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.  They prefer to fully evaluate every situation. It is quite likely of them to ask for pricing or other concessions.

Topics They Care About

Generative AI Agents
Leads the engineering of a code-assistant product and has worked on the next-generation Siri, focusing on model reasoning, tool use, and planning.
Synthetic Data Generation
Serves as the lead architect and developer for a scaled synthetic data generation system, a core part of his work at Apple.
Blockchain Technology
Was highly active in his university's blockchain community, participating in hackathons and organizing events with companies like Coinbase.

Media Appearances

Alexander has no verified media appearances

Work History

10-2024
Generative AI & Machine Learning Engineer – Coding Assistant at Apple
9-2023 - 10-2024
Generative AI & Machine Learning Engineer – Siri Modeling Team at Apple
12-2020 - 8-2023
Software Engineer at Apple
7-2020 - 12-2020
Machine Learning Engineer at JPMorgan Chase & Co.
1-2020 - 5-2020
Machine Learning - Course Producer at University of Southern California

Education

2018 - 2020
Bachelor of Science - BS from University of Southern California

More Information

Social Presence :

Prographics :

Exp : 5 Location : San Francisco, California, United States Job Level : Junior Designation : Generative AI & Machine Learning Engineer – Coding Assistant at Apple
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Insights For Selling To Alexander

During A Call Or A Meeting

DO's

  • Tell them that you will come back if you don’t have a good answer for a question
  • Share as much information as possible regarding your product
  • Emphasise more on facts and measurable benefits

DONT's

  • Avoid phrases like ‘do not worry about’, ‘no one compares to’ etc.
  • Don’t try to be too friendly or informal with them
  • Avoid rushing them, be polite and patient

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Alexander is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from Alexander

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Alexander move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can Alexander take some risk or not?

  • If they believe that they have analyzed the situation well, they can take a little risk.

You And Alexander

Personality Compatibility


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