Kamen Shah Email & Phone Number | Entrepreneurial software engineer with experience in managing large-scale LLM workloads. Bringing a successful track record in technical and leadership roles while building complex solutions that are infinitely scalable, highly observable, and architecturally fault-tolerant. Experienced in • Agile development for iterative SDLC • Distributed processing approaches to develop scalable and fault-tolerant applications • Provisioning and managing cloud solutions for ML workloads • Data Science and Machine Learning techniques for both prediction and analysis • CICD pipelines for automation • Database management and query optimization • Big data analysis using Pandas and Numpy in Python • LLMs and deep learning predictive models utilizing state-of-the-art architectures

Kamen Shah

Entrepreneurial software engineer with experience in managing large-scale LLM workloads. Bringing a...
San Francisco, California, United States

*50 free lookup(s) per month.

Kamen Shah’s Email kamen@anyscale.com

Kamen Shah’s Phone Numbers

Get KAMEN’s Phone Number (For Free)

Social Media

Kamen Shah’s Location San Francisco, California, United States

Kamen Shah’s Current Industry Attentive

Kamen Shah’s Prior Industry Anyscale | Intel | Gap | Lit Launcher Chrome Extension | Sendit Gg

Find accurate emails & phone numbers for over 700M professionals.

Senior Software Engineer

2024-08-01 00:00:00 - Present

Software Engineer

2023-01-01 00:00:00 - 2024-08-01 00:00:00

Software Engineer

2020-12-01 00:00:00 - 2023-01-01 00:00:00

Big Data Engineer

2019-06-01 00:00:00 - 2019-08-01 00:00:00

Co-creator/Lead Developer

2017-06-01 00:00:00 - 2019-05-01 00:00:00

Co-creator/Lead Developer

2018-06-01 00:00:00 - 2019-05-01 00:00:00

No Skills Available

No Languages Available

Kamen Shah is a Entrepreneurial software engineer with experience in managing large-scale LLM workloads. Bringing a successful track record in technical and leadership roles while building complex solutions that are infinitely scalable, highly observable, and architecturally fault-tolerant. Experienced in • Agile development for iterative SDLC • Distributed processing approaches to develop scalable and fault-tolerant applications • Provisioning and managing cloud solutions for ML workloads • Data Science and Machine Learning techniques for both prediction and analysis • CICD pipelines for automation • Database management and query optimization • Big data analysis using Pandas and Numpy in Python • LLMs and deep learning predictive models utilizing state-of-the-art architectures