조승혁

Data Scientist

https://talent.gravityer.com/candidate-323

POSTECH

Key Strengths

Demonstrated experience with Python for machine learning and deep learning projects, including PyTorch implementations (CoNAL-pytorch, doctornet-pytorch).
Exposure to various AI/ML concepts such as semi-supervised learning and Grad-CAM consistency regularization.
Experience in developing a PyTorch model serving framework (brusta), indicating an understanding of deployment aspects.
Current role as a Data Scientist at POSTECH, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal research and development in AI/ML, which aligns with an innovative and self-driven culture. However, the project descriptions are brief, making it difficult to fully assess collaboration or broader impact. The diversity of technologies (Verilog, Assembly, Kotlin, C++) suggests adaptability, but the primary focus for a Data Scientist role should be on data science specific tools and methodologies.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test results are not provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

gradcam_consistency_semi_sup

June 17, 2021 – September 1, 2021

Semi-supervised learning with Grad-CAM consistency regularization

View Project

doctornet-pytorch

February 19, 2021 – March 23, 2021

Pytorch implementation of DoctorNet from "Who Said What: Modeling Individual Labelers Improves Classification"

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pipelined-cpu-verilog

February 8, 2021 – February 8, 2021

Verilog implementation of pipelined cpu

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CoNAL-pytorch

January 28, 2021 – June 24, 2021

Pytorch implementation of CoNAL(Common Noise Adaptation Layers) from "Learning from Crowds by Modeling Common Confusions"

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vision_ai_kiosk

December 30, 2020 – January 11, 2021

A Vision-AI-based Kiosk for Improved Interactivity

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dc-crawler

August 28, 2020 – October 3, 2020

한국 최대의 익명 커뮤니티 디시인사이드의 글, 댓글 크롤링을 도와주는 python 라이브러리입니다.

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brusta

October 30, 2019 – November 26, 2019

Pytorch model serving framework

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rss-live-slider

July 23, 2019 – July 30, 2019

2019 D2 Campus FEST mini 제출용 repository.

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android-live-slider

July 16, 2019 – July 31, 2019

Recyclerview library that supports live animations and auto swipe with ViewPager

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android-rss-viewer

June 29, 2019 – July 31, 2019

The RSS Viewer for Android using awesome Live-Slider.

View Project

Key Strengths

Demonstrated experience with Python for machine learning and deep learning projects, including PyTorch implementations (CoNAL-pytorch, doctornet-pytorch).
Exposure to various AI/ML concepts such as semi-supervised learning and Grad-CAM consistency regularization.
Experience in developing a PyTorch model serving framework (brusta), indicating an understanding of deployment aspects.
Current role as a Data Scientist at POSTECH, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test results are not provided.

조승혁

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit