Topline | Fred Bertsch

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Fred Bertsch

Research Engineer at Character.AI

Intro Book

Seasoned software engineer with PhD in Electrical Engineering, expertise in C++ and software development.

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Location

San Francisco Bay Area, US

Skills

C++
Software Development

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Rate

This rate is determined by the professional's skill set, client collaboration, experience and appearance on lineups.

$250.0

Hourly Rate

How This Rate is Calculated

Okay, let’s tackle this. So Fred has a strong educational background with a PhD from Cornell, which is a top-tier university. He has also worked at Google, which is a leader in AI and machine learning. His experience in software development, C++, and sensor fusion are in high demand. Considering his location in the San Francisco Bay Area, which is a hub for tech companies, and his expertise, I estimate his hourly rate to be around $250. This is slightly lower than what top AI/ML engineers might charge, but it’s still a competitive rate for someone with his background and experience.

Bio

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Topline AI

Fred Bertsch is a seasoned software engineer with expertise in C++ and software development, holding a PhD in Electrical Engineering from Cornell University. He has worked at top companies like Google, PC-Doctor, and Adept, where he has led teams and developed innovative solutions in areas like neural rendering and generative AI.

Experience

Character.AI
- Palo Alto, California, United States
- Research Engineer
  - Aug 2023 - Present
  - Palo Alto, California, United States
Adept
- San Francisco, California, United States
- Co-Founder
  - Jan 2022 - May 2023
  - San Francisco, California, United States
  - Built a feedback loop from human interactions to fine tuned models: initiated program, led team, and built tools- Created human annotation team, tools, and methodology for measuring and improving performance- Led privacy and safety initiative to develop infrastructure and design to support responsible data collection and storage- Taught and maintained software engineering principles used to improve the reliability and security of infrastructure used in human feedback- Led pre-training data pipeline creation and measurement for foundation models
Google
- Research Software Engineer
  - Mar 2010 - Jan 2022
  - Built a neural rendering pipeline that outperforms traditional game art pipelines in several ways- Trained a generative AI model to substantially improve ad metrics without compromising brand or policy rules- Collaborated with mapping and music product teams to measure user behavioral changes after seeing a variety of generative model outputs- Developed pipeline and methodology to develop and grow collaborations with product teams- Also worked on product teams directly before joining Google Brain
PC-Doctor
- Software Developer
  - 2006 - 2010

Education

Cornell University
Doctor of Philosophy - PhD, Electrical Engineering
Cornell University
Bachelor of Science - BS, Engineering Physics/Applied Physics

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Industry Focus. “Computer Software”

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Fred Bertsch

Refer a Friend to Get
100 Credits For FREE

$250.0

Hourly Rate