Smoky Pepe

Frontend Developer

https://talent.gravityer.com/smoky-pepe

Member since June 29, 2026

Key Strengths

Strong background in Python, particularly in machine learning and computer vision domains, as evidenced by numerous personal projects (YOLO-tf2, SR-IQA, Text2img-tf2, ResNeSt-tf2, UnetPlusPlus-tf2, Pose_Baseline_3D_PyTorch).
Experience with various deep learning frameworks (TensorFlow 2, PyTorch) through project work.
Demonstrated ability to initiate and complete personal technical projects, indicating self-motivation and practical application skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily skewed towards machine learning, computer vision, and backend/scripting tasks (Python, Shell, Makefile). While demonstrating strong technical aptitude, there is a significant mismatch with the 'Frontend Developer' target role, as only one project ('website-v2') uses frontend technologies (Ruby, HTML) and lacks modern frontend frameworks (e.g., React, Angular, Vue). This indicates a potential misalignment with the specific technical requirements and day-to-day tasks of a frontend role.

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

simulator_inference_center

February 23, 2026 – Present

ZMQ-based inference server that exposes robot simulators (e.g. LIBERO) over TCP for remote policy evaluation

View Project

SR-IQA

July 13, 2024 – November 27, 2024

This evaluation code for (real-world) image super-resolution.

View Project

CLIT

March 29, 2023 – May 29, 2025

CLIT — GitHub repository

View Project

website-v2

March 5, 2023 – March 5, 2023

Personal Website

View Project

PWVO

June 18, 2022 – July 7, 2023

PWVO — GitHub repository

View Project

ResNeSt-tf2

April 26, 2022 – April 26, 2022

ResNeSt-tf2 — GitHub repository

View Project

UnetPlusPlus-tf2

April 23, 2022 – April 23, 2022

UnetPlusPlus-tf2 — GitHub repository

View Project

Text2img-tf2

April 10, 2022 – April 11, 2022

Text2img-tf2 — GitHub repository

View Project

YOLO-tf2

April 10, 2022 – April 11, 2022

YOLO-tf2 — GitHub repository

View Project

Pose_Baseline_3D_PyTorch

September 21, 2020 – April 10, 2022

Pose_Baseline_3D_PyTorch — GitHub repository

View Project

Key Strengths

Strong background in Python, particularly in machine learning and computer vision domains, as evidenced by numerous personal projects (YOLO-tf2, SR-IQA, Text2img-tf2, ResNeSt-tf2, UnetPlusPlus-tf2, Pose_Baseline_3D_PyTorch).
Experience with various deep learning frameworks (TensorFlow 2, PyTorch) through project work.
Demonstrated ability to initiate and complete personal technical projects, indicating self-motivation and practical application skills.

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.

Smoky Pepe

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit