fastalgo

Data Scientist

https://talent.gravityer.com/fastalgo

Yang You, Ph.D. from UC Berkeley

Member since June 27, 2026

Key Strengths

Strong foundational knowledge in deep learning and machine learning algorithms, evidenced by projects like 'CPD' and 'asyn_kernel_svm'.
Proficiency in Python and C++ for high-performance computing and deep learning model implementation.
Experience with distributed systems and parallel computing, as seen in 'CPD' and 'asyn_kernel_svm'.
Familiarity with deep learning frameworks and tools (e.g., Cuda, Jupyter Notebook, potentially Caffe based on 'nvcaffe-yy').
Exposure to various deep learning architectures and datasets (e.g., ResNet50, ImageNet, MNIST, CIFAR).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a strong focus on deep learning and machine learning research and implementation, which aligns well with a Data Scientist role. The diversity of projects, from distributed deep learning to kernel SVMs, indicates a broad interest within the ML domain. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

kfac-tacc

July 6, 2020 – July 9, 2020

kfac-tacc — GitHub repository

View Project

CPD

October 8, 2019 – December 10, 2020

a high performance system for customized-precision distributed deep learning

View Project

imagenet_resnet50_lamb

September 10, 2019 – November 19, 2019

imagenet_resnet50_lamb — GitHub repository

View Project

over9000_lamb

September 6, 2019 – September 11, 2019

over9000_lamb — GitHub repository

View Project

davidnet-cifar

April 17, 2019 – September 11, 2020

davidnet-cifar — GitHub repository

View Project

mnist_tpu

March 4, 2019 – September 11, 2020

mnist_tpu — GitHub repository

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nvcaffe-yy

July 7, 2017 – July 7, 2017

fork from nvidia/caffe-0.16

View Project

asyn_kernel_svm

December 5, 2016 – December 5, 2016

Asynchronous Parallel Kernel SVM on multicore shared memory system

View Project

NeuralNetworks

May 25, 2016 – May 26, 2016

NeuralNetworks — GitHub repository

View Project

casvm

February 25, 2015 – October 24, 2015

casvm — GitHub repository

View Project

Key Strengths

Strong foundational knowledge in deep learning and machine learning algorithms, evidenced by projects like 'CPD' and 'asyn_kernel_svm'.
Proficiency in Python and C++ for high-performance computing and deep learning model implementation.
Experience with distributed systems and parallel computing, as seen in 'CPD' and 'asyn_kernel_svm'.
Familiarity with deep learning frameworks and tools (e.g., Cuda, Jupyter Notebook, potentially Caffe based on 'nvcaffe-yy').
Exposure to various deep learning architectures and datasets (e.g., ResNet50, ImageNet, MNIST, CIFAR).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

fastalgo

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit